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FINAL 31,12,10
FINAL 31,12,10
FINAL 31,12,10
FINAL 31,12,10
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FINAL 31,12,10
FINAL 31,12,10
FINAL 31,12,10
FINAL 31,12,10
FINAL 31,12,10
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FINAL 31,12,10
FINAL 31,12,10
FINAL 31,12,10
FINAL 31,12,10
FINAL 31,12,10
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FINAL 31,12,10
FINAL 31,12,10
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Applications of GIS in Electrical Power SystemApplications of GIS in Electrical Power System
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  1. PROJECT NAME SUBMETED TO: - MR IQBAL SAB PREPARED ABD DESIGN BY:- NAME REGISTRATION # 1. KHURRAM SHAHZAD BUTT 14P2-110010 PLANNING, CONSTRUCTION, OPERATION OF POWER DISTRIBUTION NETWORK
  2. 1. INTRODUCTION:- 1. Concepts of GIS Geographic information systems have emerged as an essential tool for land use planning, utilities management, ecosystems modeling, landscape assessment and planning, transportation and infrastructure planning, market analysis, visual impact analysis, facilities management, tax assessment, real estate analysis and many other applications GIS capacity to store, retrieve, analyze, model and map large areas with huge volumes of spatial data has led to an extraordinary proliferation of applications. Geographic information systems are now used for Mapmaking and geographic analysis are not new, but a GIS performs these tasks better and faster than the old manual methods. Before GIS technology, only a few people had the necessary skills to use geographic information. Today, GIS is a multibillion-dollar industry employing hundreds of thousands of people worldwide. GIS is taught in schools, colleges, and universities throughout the world. Professionals in every field are increasingly aware of the advantages of thinking and working geographically 1.1.What is GIS? A geographic information system (GIS) is a computer-based tool that is used to store and manipulate the geographic information. It also involves the mapping and analyzing things that exist and events that happen on earth. GIS technology integrates common database operations such as query and statistical analysis with the unique visualization and geographic analysis. These abilities distinguish GIS from other information systems and make it valuable to a wide range of public and private enterprises for explaining events, predicting outcomes, and planning strategies. Primary concern of geographic information system is the management, analysis, and visualization / mapping of spatial data. An oftenly quoted definition of GIS in literature has came from Burrough (1986). He stated that "GIS is a powerful set of tools for collecting, storing, retrieving at will, transform and displaying spatial data from the real world", (Burrough , 1986). Aronoff (1989) gives a general description of GIS as “any manual or computer-based set of procedures used to store and manipulate geographically-referenced data.” ¯ More specifically, Aronoff (1989) defines GIS as "a computer-based system that provides four sets of capabilities to handle georeferenced data: i) data input ii) data management (data storage and retrieval) iii) manipulation and analysis iv) data output.” Data types used in GIS are; geographical and attribute data in association with each other. Generally, the geographical data represented as points, lines or polygons and attributes are linked to it. The data types being handled easily by using convention database management systems (DBMS). According to Aronoff "Geographic information systems are computer-based
  3. systems that are used to store and manipulate geographic information"(Aronoff , 1995). GIS technology has provided an exciting potential for geographic information to be used more systematically and by a greater diversity of disciplines than ever before. The major challenges we face in the world today; overpopulation, pollution, deforestation, natural disasters, has a critical geographic dimension. Whether selecting a new site for business, finding the best soil for growing a particular crop, or figuring out the best route for an emergency vehicle, local problems also have a geographical component. GIS will give you the power to create maps, integrate information, visualize scenarios, solve complicated problems, present powerful ideas, and develop effective solutions like never before. GIS is a tool used by individuals and organizations, schools, governments, and businesses seeking innovative ways to solve their problems. Components of GIS 1.2.Components of GIS A working GIS integrates five key components: hardware, software, data, people, and methods. Hardware Hardware is the computer on which a GIS operates. Today, GIS software runs on a wide range of hardware types, from centralized computer servers to desktop computers used in stand-alone or networked configurations. Software GIS software provides the functions and tools needed to store, analyze, and display geographic information. Key software components are:  Tools for the input and manipulation of geographic information - A database management system (DBMS)  Tools that support geographic query, analysis, and visualization - A graphical user interface (GUI) for easy access to tools Data Possibly the most important component of a GIS is the data. Geographic data and related tabular data can be collected in-house or purchased from a commercial data provider. A GIS will integrate spatial data with other data resources and can even use a DBMS, used by most organizations to organize and maintain their data, to manage spatial data. People GIS technology is of limited value without the people who manage the system and develop plans for applying it to real-world problems. GIS users range from technical specialists, who design and maintain the system to those who use it to help them perform their everyday work.
  4. Methods A successful GIS operates according to a well-designed plan and business rules, which are the models and operating practices unique to each organization. Features of the GIS Data modeling Point Line Polygon
  5. GIS layer • A GIS stores information about • the world as a collection of layers that can be linked together by geography DATA STORED IN GIS A GIS stores a representation of the world in the form of layers connected by a common geographical frame of reference. The simple concept of layers allows a GIS to abstract the complexity of the real world into a number of discrete levels of observation each containing information relevant to a particular group of features, e.g. buildings, poles, roads, trees, soil types, customer locations Geometry of Spatial Data Point Line Area surface
  6. Data Types • Location Data – Vector (Feature) Themes • Points - Cities, buildings, poles... • Lines - Rivers, roads, lines… • Polygons - Service areas, lakes,… – Raster Themes • Images - Scanned map, air photo, satellite • Attribute Data – Stored in tables. – New tables can be created and data added. Vector (Feature) Data Points, Lines and Areas represent entities – Points - City, Tree – Lines - River, Road – Areas - Forest, Lake Analysis includes: – Buffering – Intersecting – Network Analysis (shortest path)
  7. SCOPE OF WORK We are working in Existent electricity network it’s developed back 2006 by the AJKED and its consultant. Now this is the 2010 the network enhances day by day but not updated. In this project, firstly we are working, how would update and technical analysis the existent power distribution network.  Updating of Digital Database & Geographical Mapping of Power Distribution Feeder including: GIS in Management of Electricity Distribution Network: A case study of 11KV City- 4 Feeder 132KV Muzaffarabad Grid AK . Abstract The use of Geographic Information System (GIS) in Electricity Distribution Facilities. With inherent limitations faced by traditional system of keeping and managing information, an automated system is developed for Azad Jammu & Kashmir Electricity Department. The administrativestreet and electricity distribution network maps were collected from relevant agencies. Electricity distribution facilities spatial database was designed and created using relational database model approach. The paper maps were converted to digital form, through scanning. The raster images were sent to ArcGIS info environment for geo-referencing and on-screen victimization. The drawings were edited and exported to ArcGIS 9.3 environment. The graphics were linked with the created spatial database. The developed system was put to the test by carrying out a number of GIS operation and analysis. Results obtained were displayed in graphics and tables. It was ascertained from the results that GIS is a competent and effective tool for managing electricity distribution network. In this context, conclusions and some useful recommendations were proffered. 1.0 Introduction Generally, electricity could be accepted to mean supply of electric current. This involves generation, transmission and distribution of the electric current to consumers. Electricity is an aspect of the utility sector that is very essential to the smooth and meaningful development of a society. It supports the economy and promotes the well-being of individuals. Efficient functioning of this utility is of paramount importance for the sustenance of its growth and consequential realization of its planning and managerial objectives. the AJKED started GIS System in 2001 and completed it in 2006 in all AJK electrical network, because of some reasons this network would not update after 2010, so that why I want to used my skills for update this system. 1.1 Problems at Hand The creation, updating, maintenance and general management of electricity distribution network in terms of spatial and non-spatial data is a Herculean task. The voluminous nature of data involved for proper record keeping is indeed cumbersome, and cannot effectively be handled by traditional system of record keeping. The analogue system means acceptance of inflexibility resulting from data storage in fixed forms and formats. The system becomes less useful for many purposes and are rarely updated because of costs implication. The maps are easily displaced or destroyed because many different people at different locations use them. This is very difficult to update the entire network so I select an area for that project; all the layers are available at that particular area like, Transformer, Poles, Conductor and different consumers, domestic, commercial and industrial.
  8. Benefits An alternative approach of maintaining a coherent database in a scientific and efficient manner by use of advanced information technology is therefore, required. Hence, there will be improvements in planning, implementation and operation of the electricity sector through provision of timely, reliable, sufficiently and accurately detailed data which will facilitate its decision making activities. Uluocha (1998) noted that if the noble objective of mapping for proper utility design and maintenance is to be satisfactorily achieved, the more sophisticated computer-based Automated Mapping /Facility Management (AMFM) or a Geographic Information System (GIS) must be embraced. The potentials and challenges of using the GIS technique in utility mapping in a developing country as Nigeria, have to some extent been demonstrated by the work of Adekunle (1995). With the use of GIS, can collect, input, edit, store, retrieve, query, process, analyze and output large amount of data at desired scales and projections (Fig. 1). Fig. 1.0: Electricity Network. 1.2 The Study Area The study area (Fig. 3.0) is the north of capital AJK Challa . It is situated between latitudes73.458 N and 73.483N and longitudes 34.408E and 34.403 E. It serves as the gateway between southeastern and southwestern Muzaffarabad. The area situates where a high ground underlain by the sandstones of the Bende-Ameke formation, comes very close to River Niger. It provides a stretch of well-drained, healthy site in the flood plains of the River Niger. Such favorable site at the meeting point of two contrasting
  9. regions east and west of the Muzaffarabad. the area to develop as an important commercial center, south. The area is heavily populated resulti ng in high electricity consumption. Fig 2. Shows a transformer station within the study area. Fig. 2: A AJKED Transformer Station city 4 challa. (GIS can facilitate routine maintenance) Fig. 3.0: Map of Muzaffarabad and Location of The study area
  10. 2.0 Methodology Data used for this study are: 1. The Administrative / Street Map 2. The Electricity Distribution Network Map 3. Attribute Data collected on the ground 4. Data on the end-users The administrative/street map was acquired from Land Used Planning, Survey and Urban Planning, PND. The Electricity Distribution Network map and some of the attribute data were collected from AJK Electricity Department (AJKED), Muzaffarabad District. Using on-spot observation and personal interview, some attribute data and data on the end-users were acquired. A number of application software packages were used for data processing. Such packages include: photo-plus for scanning and AutoCAD map R2 for geo-referencing and on-screen digitizing. ArcGIS 9.3 was used for GIS overlay operation and analysis of spatial and spatial queries. 2.1 User-Requirement Survey User-requirement survey was carried out to determine actually what the end-users would want the system to do for them. From the survey carried out, the types of analysis to carry out were known. It also guided in knowing the configuration of the hardware and software systems required of the work and in the choice of appropriate model and structure to use. In this project we used GPS and guide maps 2.2 Design of Database In the design of database, four basic steps were taken. These include: articulation of reality, translation of reality to conceptual model, translation of conceptual model to logical design and physical design. Realities were articulated based on geographic data within the study area with respect to electricity distribution facilities. In this case, reality includes the following geographic features: Administrative Areas, Roads, Streets, AJKED Transmission, 11kv Lines, Power Transformer, and Distribution Transformer. In translation of reality to conceptual model, the articulated realities were represented in a simplified manner and at the same time satisfied the information required by the users. Hence, vector data modeling was adopted. The realities were represented and displayed as points, lines or area (polygon), with their attributes defined by pair of plane coordinates (X, Y). The objects together with the spatial relationships among them were carefully identified and analyzed. Translation of conceptual model to logical design involves representation of the designed data model to reflect the recording of the data in the computer. The data were structured to describe logically the organization of data in the database. Relational data structure was chosen to implement the model because of its flexibility capability and very wide deployment both within and outside GIS. During physical design, the designed data structure was represented in a form that is acceptable to the implementation hardware and software. The tables' names, the attributes, data type, and the width of the data were specified in Data Declaration as shown in Table 1.0
  11. TABLE 1.0: DATA DECLARATION TABLE NAME ATTRIBUTES DESCRIPTION DATA TYPE WIDTH ADMIN. AREA AD.A_id Administrative Area identifier Number 5 AD.A_Loc Place where the Administrative Area is located String 20 ROADS RD_id Road identifier Number 5 RD_name The name of the road String 20 N_Surface The nature of the road’s surface String 15 R_Class The class in which the road belongs String 15 STREETS St_id Street identifier Number 5 St_name The name of the street String 20 N_Surface The nature of the street’s surface String 15 TRANSMISSION NT_id NEPA transmission identifier Number 5 NT_Loc The place where the NEPA transmission is located. String 20 IIKV LINE IIKV_id IIKV Line identifier. Number 5 IIKV_Cap The capacity of IIKV Line. Number 6 A _ served The area or section of the town 11kv Line is serving. String 20 PT_Feed The power transformer feeding the I1kv line. Number 10 POWER TRANSFORMER PT_id Power transformer identifier. Number 5 NF_Serv The number of feeders that depend on it. Number 5 PT_Cap The Capacity of the power transformer. Number 6 PT_Loc The location of the power transformer. Number 20 DISTRIBUTION TRANSFORMER DT_id Distribution transformer identifier. Number 5 DT_ Loc The location of the distribution transformer. String 20 A _ Serv The area or section of town the distribution transformer is serving. String 20 Yr_inst The year the distribution transformer was installed. Number 6 DT_Cap The capacity of the distribution transformer. Number 6 N_cons The number of consumers the d t is serving. Number 6 IIkv_serv The identifier of the IIKV line the distribution transformer is serving. Number 5 Population The no. of people the distribution transformer is serving. Number 6
  12. 2.3 Creation of Database The database was created by inputting the relevant spatial and attribute data into the system. The tables were populated with the attribute data. The spatial data were captured by scanning the paper maps using A3 scanner with photo-plus. The raster images were geo-referenced and digitized on-screen in AutoCAD map R2 environment. The images were separated and digitized under the following layers: MAP 1 (BASE MAP) Administrative areas Roads Streets MAP 2 (ELECTRICITY DISTRIBUTION NETWORK) AJKED transmission 11kv line Power transformer Distribution transformer 2.4 Quality Assurance and Quality Control The digitized drawings were edited and subjected to quality assurance test. The edited drawings shown in Figs. 4.0 and 5.0 were exported to Arc GIS 9.3 environment and linked with the created database after converting them to shape files. The linkage was possible by unique identifiers assigned to each of the entities; GIS operation and analysis were carried out. Fig. 4.0: The Digitized and Edited Drawings of Administrative/Street Map of Project Area.
  13. Fig. 5.0: The Digitized and Edited Drawings of Electricity Distribution Network 3.0 Data Analysis and Presentation The following GIS operation and analysis were carried out: Overlay operation, spatial query, and a spatial query. 3.1 Overlay Operation The essence of overlay operation is to superimpose two or more data layer that occupies the same location (Sun et al, 2001). The base map was superimposed with the electricity distribution network. The result of the overlay operation is shown in fig. 6.0. Fig.6.0: The map of Area with Electricity Distribution Network.
  14. 3.2 Spatial Query Spatial query was carried out to get all information about a given electricity distribution facility located in a given area. In this case, the system was queried to search and display all available information about the existing distribution transformer located within “Otu” area. The result was displayed as shown in Fig. 7.0. Fig. 7.0: Distribution Transformer located within “Otu” area with its Attribute Information. 3.3 A spatial Query This task was carried out in order to know the location(s) of a given facility with a known attribute. For example, the location(s) of all the distribution transformers with capacity 15mva along Old Market Road could be known as provided by the system. The result is shown in Fig. 8.0. Fig. 8.0: Distribution Transformers with Capacity 15mva along Old Market Road.
  15. 4.0 Discussion of Results In Fig. 6.0, the base map (administrative/ Street map) was overlaid with the electricity distribution network, hence revealing the spatial distributions and locations of electricity distribution facilities. The facilities on ground such as 11kv line, power transformer, distribution transformer, transmission station etc, were shown and the extents at which they occur were also revealed. With this result, AJKED will be able to know the spatial relationships that exist among their facilities. Such knowledge will help them know the area(s) or sections(s) of the town that lack their services. It will also guide them in knowing where they could extend or improve their services and equally areas that need new installation. In addition to these, the results can equally provide good information for other professionals, for example Urban Planners, Construction Managers, Civil Engineers etc. The knowledge of the spatial locations of the distribution facilities will help to avoid or reduce damages done to these facilities during construction works. To the Town Planners, it will help to plan better. When damages occur in any of the facilities, GIS will assist in quick location of problem areas and best approach to solution. Overlay operation can be used during map revision and up- dating GIS environment and in identification of dangers due to time in a given area. The result in Fig. 7.0, revealed the attributes of the distribution transformer. The identify results table displayed, shows descriptive information about the object. The distribution transformer was installed on 6th October 2006. The transformer depends on CITY- 4 feeder via 11kv line. The capacity of the transformer is 45mva while 62 households depend on it. In Fig. 8.0, the selected distribution transformers with capacity 15mva along old market were displayed in yellow circles. The result indicated that they are three in number. Their associated records were highlighted in green color on the attribute of AJKED transformer table. These results demonstrated some of the capabilities of GIS in handing and managing electricity distribution spatial data. With GIS, one can manipulate and carry out tasks that are vital in management of electricity for proper and efficient results. When new facilities are installed, the GIS database and graphical (map) components can be updated easily to accommodate the new features. So, map revision and digital mapping become easy in GIS environment. 4.1 More Benefits of the Developed System In addition to the use of the system in fault management, and network extensions and optimization, the following benefits can also be obtained: 1. In planning of routine maintenance. 2. In easy handling of customer’s inquiries. 3. In network configuration. 4. In improved revenue management. 5. In right of way and compensation. 6. In provision of back-up system that eliminates the problem of data loss. 7. In easy and speedy retrieval of information. 8. In data update and possible sharing of data among different users simultaneously. 5.0 Conclusions and Recommendation Spatial and attribute data of electricity distribution network of Onitsha-North Local Government Area, which are presently acquired, processed, managed, stored and presented in analogue form, can be digitalized. Digital system provides timely, accurate, and easier way of acquiring information, which are very vital in taken prompt and accurate decisions necessary in the economic development of any enterprise. Ayeni et al (2003) noted that Geospatial Information (GI) is very essential to economic planning and national development. This is buttressed further by Alamu and Ejiobih (2002), when they concluded that a well maintained utility information infrastructure gives up-to-date information on what is where, the
  16. state of it, the reaction other actions on it would cause, how it can be harnessed for optimum use of the people and economy. In conclusion therefore, the following recommendations are preferred: - 1. There is need for greater awareness to be created at all levels of government. Taking off from national level through the municipal, down to individual managers, of what is required to establish GIS. 2. AJKED as well as other Utility organizations in developing countries that have dealings with spatial data should embrace digital system of keeping and managing spatial data. 3. There is need for briefings, training and re-training sessions among staff of AJKED, Nigeria and other municipal authorities in GIS. 4. The increased services of Geometricians are needed in AJKED. They will champion the responsibility of spatial data acquisition, processing, management and presentation of outputs in usable form. 5. The international body with their vast strength and power should encourage the developing countries to establish GIS in different areas of human Endeavour through adequate funding. 6. Good institutional framework should be established at all levels of governments down to individual who will be coordinating the affairs of producers and users of geo-spatial data. References  Adekunle, A.A. (1995), “Utility Mapping Using GIS Technique: A Case Study of University of Lagos”, Unpublished B. Sc. Project Submitted to the Department of Geography and Planning, University of Lagos.  Adeoye, A. (1998), “Geographic/Land Information Systems: Principles and Applications”, Information Management Consultants, Ebute-Metta, Lagos, Nigeria, pp.73-79, 172-175.  Adetoro, S. A. (2002), “Developing Geographic Information System for Utility Management: A Case Study of Electricity Distribution Lines and Transformer Stations in Obafemi Awolowo University: Ile-Ife”, Proceeding of the Technical Session of the 37th Annual General Conference and Meeting of Nigerian Institution of Surveyors, Owerri, Imo State, Nigeria, pp.57-62.  Alamu, E.O. and H.C. Ejiobih (2002), “Utility Information Infrastructure Needs in Utility Organisations in Nigeria: (A Case Study of Niger State Water Board,” Proceedings of the Technical Session of the 37th Annual General Conference and Meeting of Nigerian Institution of Surveyors, Owerri, Imo State, Nigeria, pp. 85-88.  Antenucci, J. C. (1988), “Technical Trends in AM/FM and the Institutional Factors Driving Them”, Paper Presented at the IBM GFIS Users Group Work-shop, Kentucky, USA.  Ayeni, O.O., Kufoniyi, O. and J.O. Akinyede (2003), “Towards a National Geospatial Information Policy for Nigeria”, Proceeding of the Technical Session of the 38th Annual General Conference and Meeting of Nigeria Institution of Surveyors, Lokoja, Kogi State, Nigeria, pp. 21.  Emengini, E. J. (2004), “Application of Geographic Information System (GIS) to Utility Information Management: A Case Study of Onitsha-North L.G.A., Anambra State, Nigeria,Unpublished M.Sc. Thesis Submitted to the Department of Surveying and Geoinformatics, Nnamdi Azikiwe University, Awka, Anambra State, Nigeria.  Ezeigbo, C. U. (1998), “Application of Geographic Information Systems (GIS) to Utility Mapping”, in C. U. Ezeigbo (ed.), Principles and Applications of Geographic Information Systems, Lagos, Panef Press, pp. 124-131.  Jones, C. B. (1997), “Geographical Information Systems and Computer Cartography”, Essex, Addison Wesley Longman Ltd.  Kufoniyi, Olajide (1998), “ Database Design and Creation”, in C. U. Ezeigbo (ed.), Principles and Applications of Geographic Information Systems, Lagos, Panef Press, pp. 1-15. Maguire, D. J. (1989), “Computers in Geography” Essex, Longman Group UK Limited.
  17.  Mukoro, M. I., S. A. Adetoro, and H. C. Ejiobih (2002), “Evaluation of National Electric Power Authority (NEPA) Utility Information Infrastructure Towards Steady Power Supply by the End of 2001: A case Study of Bida NEPA”, Proceedings of the Technical Session of the 37th Annual General Conference and Meeting of Nigerian Institution of Surveyors, Owerri, Imo State, Nigeria, pp. 63-67.  Pickering, David, J. M. Park and D. H. Bannister (1993), “Utility Mapping and Record Keeping for Infrastructure”, Urban Management and Infrastructure, Urban Management Programme, Washington, D.C. Vol. 10, pp. ix-11.  The Punch, (2001), “NEPA Ensures Stable Power Supply to Sokoto”, Punch Nigeria Ltd, Lagos, 24th December,3.  This Day, (2002), “Obasanjo Gives NEPA Fresh Mandate: Orders 10,000mw by 2005”, Leaders and Company Ltd, Lagos, 24 January, pp.1.  Sun, Y., C. J. Van Westen and E. J. Sides (2001), “Spatial Data Analysis”, in A.D. B. Rolf (ed.), Principles of Geographic Information Systems, pp. 134-156.  Tomlison, R. F. (1990), “Current and Potential Uses of Geographic Information Systems: The North American Experience” in D. Peuquet and D. Marble (eds.), Introductory Readings in Geographic Information Systems, New York, Taylor and Francis.  Uluocha, N. O. (1998), “Mapping for Utility Management in Nigeria” in O.Y. Balogun and N. O. Uluocha (eds.), Cartography and Challenges of the 21st Century in Nigeria, pp. 183-192.  Vijay, Kumar and Anjuli Chandra (2001),“Role of Geographic Information Systems in Distribution Management”, www.gisdevelopment.net/application/urban/overview/power/index.htm Some typical examples of GIS applications in Pakistan are;  land-use planning and management e.g. Cadastral mapping, Urban growth, Land use changes etc. S.O.P, SUPARCO, P.D.A, C.D.A, P.E & D)  power generation, transmission & distribution (AJKED)  oil & mineral exploration (O.G.D.C, Oil companies, P.G.S)  environmental impact studies  management of water resources (IIMI, AKRSP, WAPDA)  natural hazard mapping (FFC, NESPAK)  forestry and wildlife management (FMC, PFI, AKRSP)  soil degradation studies (Soil survey of Pakistan)  monitoring desertification  agricultural development  socio-economic survey and mapping
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