IDENTIFICATION AND ASSESSMENT OF INDICATORS AFFECTING ENERGY LOSS IN THE ELECTRIC DISTRIBUTION NETWORKS CASE STUDY: ASSALUYEH, BUSHEHR AND DEYLAM
DOI:
https://doi.org/10.32461/2226-3209.3.2018.176920Abstract
Abstract. Due to its widespread applications, electrical energy has always been of great importance so that a power outage even for a moment may cause many irreparable problems. Power outage or shortage may occur for different reasons including the loss of energy in the electric distribution network. Loss of energy will impose enormous costs to the government. In this regard, the aim of this study is to identify the factors causing the loss of energy in the electricity distribution networks. By further understanding of these factors, their impact on the distribution networks can be largely reduced. The lack of knowledge on the regions with high loss of energy and the importance of each indicator in a particular area will result in more energy loss by diverting the decisions of managers and decision-makers from the main goal. Twelve experts from the electricity industry participated in this study. The comments by the experts were collected using a questionnaire. Using the theoretical background and the Likert scale, the parameters affecting the energy loss in the distribution networks were identification. These indicators include energy theft, measurement errors, load, network aging, loose connections, improper placement of equipment, voltage, resistance of the conductor, losses from equipment, the location and size of capacitors, geographical conditions, size and dimensions of the conductor, current leakage and network configuration. Using the Cardinal weights, the indicators were weighted and ranked in Assaluyeh, Bushehr and Deylam in Bushehr province. The most important factors affecting energy loss in Assaluyeh, Bushehr and Deylam include energy theft, the location and size of the capacitors and network configuration, respectively.
Keywords: loss of energy, Cardinal weights, electricity distribution network.
References
Renewable energies and nanotechnology solutions in improvement of clean energy properties, Mohammedan
Alamshir, R., Ramazanezhad A., Shahbazi, H., Tehran: unknown publisher, 2014, the 6 th Congress of Renewable, Clean
and Efficient Energies.
Energy Management Group, Institute of International Studies, Hydrocarbon Balance Sheet, unknown publishing
location, Abrang, 2008.
Energy losses in Zanjan electricity distribution network, Kaboli, M., Ghassemlou, M., Zanjan: Unknown publisher,
, 9 th Conference of Power Distribution Networks.
Assessment of electrical losses in 17 Shahrivar Distrrcit and appropriate solutions. Yari, M., Bandar Abbas:
Unknown author, 2011, Sixteenth Conference of Distribution Networks.
Optimal size and location of distributed generations for minimizing power losses in a primary distribution network.
Kamel, R M and Kermanshahi, B., 2009, Computer Science & Engineering and Electrical Engineering, Vol. 16, pp.
-144.
Department of electric energy, Energy Balance Sheet, Ministry of Energy. Tehran, 2011.
Heydari, G., Electrical losses in the Tehran distribution network, Tehran: Tabesh Bargh, 1999.
Optimal reconfiguration of distribution networks to reduce losses using modified genetic algorithm, Gholami Ghasri,
O., Jamali, S., Kalanter, M., Gillan: 2008, 13 th Conference of Power Distribution Networks.
Factors affecting production, design, installation and operation of aerial distribution networks and performance of
silicone rubber insulators in coastal areas (Hormozgan province), Nemati, Gh., Tehran: unknown author, 2008, 10 th
Conference of Power Lines.
Namazi, E., Strategic solutions to reduce losses in the electricity grids, Tehran: Iran Energy Efficiency
Organization, 2005.
Structural changes in distribution networks using the genetic algorithms to reduce losses considering capacitors,
Rohani, A., Rajabi, H., unknown author, 2013, Electrical Engineering and Sustainable Development with a Focus on
Electrical Engineering, pp. 1-8.
Optimal allocation of combined DG and capacitor for real power loss minimization in distribution networks. Gopiya
Naik, S., Khatod, D K and Sharma, M P., 2013, International Journal of Electrical Power & Energy Systems, Vol. 53,
pp. 967–973.
A model to reduce electrical energy loss in distribution network, Eslamirad, R., Tehran: unknown author, 2003, 4 th
Conference on Quality and Efficiency in the Power Industry, Mazandaran University of Science and Technology, pp.
-52.
Profits caused by elimination of loose connections in Jolfa power distribution management, Asadzadeh, A.,
unknown author, 2013, 2 nd SIRD Regional Conference.
Shadkam, H., Production, transmission and distribution of electrical energy, Tehran, Development of Science, 2009.
Reconfigurations distribution networks for reducing losses using modified genetic algorithm, Shayanfar, H.A.,
Saremi, S.A., Tehran: unknown author, 2004, 19 th International Conference on Electricity.
Strategy, World Bank Group Energy Sector. Reducing Technical and Non-Technical Losses in the Power Sector.
.s.l. : World Bank Group Energy, 2009
Optimal reconfiguration and capacitor placement for power loss reduction of distribution system using improved
binary particle swarm. Sedighizadeh, Mostafa, et al. 2014, International Journal of Energy and Environmental
.Engineering, Vol. 5, pp. 2-11
Case Study: DTE Energy Combats Energy Theft. International, Powergrid. 9, 2009, Electric Light & Power ÷
.Power grid International, Vol. 14
Electricity theft as a relational issue: A comparative look at Zanzibar, Tanzania, and the Sunderban Islands, India.
.Winther, Tanja. 2012, Energy for Sustainable Development, Vol. 16, pp. 111-119
Loss reduction experiences in electric power distribution companies of Iran. Arefi, Ali, et al. 2012, Energy Procedia,
.Vol. 14, pp. 1392-1397
Theft and Loss of Electricity in an Indian State. Golden, Miriam and Min, Brian. 2012, International Growth Centre,
.pp. 1-34
The energy theft prevention solutions, Arabeglou, M.A., Mousavi, A., Gohari, M., Kerman, 2009, 14 th Conference
on Power Distribution Networks.
Optimal placement and sizing of distributed generation for power loss reduction using particle swarm optimization.
Bhumkittipich, Krischonme and Phuangpornpitak, Weerachai., 2013, Energy Procedia, Vol. 34, pp. 307-317.
Electricity theft: a comparative analysis. Smith, Thomas B. 2004, Energy Policy, Vol. 32, pp. 2067-2076.
. Optimal reconfiguration and capacitor allocation in radial distribution systems for energy losses minimization.
.Oliveira, Leonardo W. de, et al. 2010, Electrical Power and Energy Systems, Vol. 32, pp. 840-848
A fuzzy expert system for loss reduction and voltage control in radial distribution systems. Abdelaziz, A.Y.,
Mekhamer, S.F and Nada, M.H. 2010, Electric Power Systems Research, Vol. 80, pp. 893-897.
Factors increasing unauthorized power and prevention methods, Taghizadeh, M. H., Ghanbari, S., Tehran: unknown
author, 2012, 17 th Conference on Distribution Networks.
Size and location of distributed generation in distribution system based on immune algorithm, Junjie, Ma, Yulong,
Wang and Yang, Liu. 2012, Systems Engineering Procedia, Vol. 4, pp. 124-132.
Factors affecting unauthorized use of the network and prevention methods, Karimi, S., unknown publishing
location, Ministry of Sciences, Research and Technology, Power Research Institute, 2010.
. Group decision making and game theory: research in operation approach, Asgharpour, M., Tehran University, 2003.
Peykam, A., Mathematical modeling for prioritization of suppliers and optimal order allocation, unknown
publishing location, MA thesis, Industrial Management, 2013.
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