International Journal of Intelligent Systems and Applications (IJISA)
IJISA Vol. 4, No. 12, 8 Nov. 2012
Cover page and Table of Contents: PDF (size: 936KB)
Placement of DG and Capacitor for Loss Reduction, Reliability and Voltage Improvement in Distribution Networks Using BPSO
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Author(s)
Index Terms
Binary Particle Swarm Optimization, Capacitor, Distributed Generation, Loss, Reliability, Voltage
Abstract
This paper presents multi-objective function for optimally determining the size and location of distributed generation (DG) and capacitor in distribution systems for power loss minimization, reliability and voltage improvement. The objective function proposed in this paper includes reliability index, active power loss index, DG's and capacitor's investment cost index and voltage profile index which is minimized using binary particle swarm optimization algorithm (BPSO). The effectiveness of the proposed method is examined in the 10 and 33 bus test systems and comparative studies are conducted before and after DG and capacitor installation in the test systems. Results illustrate significant losses reduction and voltage profile and reliability improvement with presence of DG unit and capacitor.
Cite This Paper
Reza Baghipour, Seyyed Mehdi Hosseini, "Placement of DG and Capacitor for Loss Reduction, Reliability and Voltage Improvement in Distribution Networks Using BPSO", International Journal of Intelligent Systems and Applications(IJISA), vol.4, no.12, pp.57-64, 2012. DOI:10.5815/ijisa.2012.12.08
Reference
[1]Y. G. Bae. Analytical method of capacitor allocation on distribution primary feeders. IEEE Transaction on Power Apparatus and Systems, v97, n4, July, 1978, pp.1232-1238.
[2]R. Srinivasas Rao, S. V. L. Narasimham, M. Ramalingaraju. Optimal capacitor placement in a radial distribution system using Plant Growth Simulation Algorithm. Electrical Power and Energy Systems, v33, n5, June, 2011, pp.1133–1139.
[3]A. A. Sallam, M. Desouky, H. Desouky. Shunt capacitor effect on electrical distribution system reliability. IEEE Transaction on Reliability, v43, n1, March, 1994, pp.170-176.
[4]A. H. Etemadi, M. Fotuhi-Firuzabad. Distribution system reliability enhancement using optimal capacitor placement. IET Generation. Transmission & Distribution, v2, n5, Sept, 2008, pp.621-631.
[5]M. R. AlRashidi, M. F. AlHajri. Optimal planning of multiple distributed generation sources in distribution networks: A new approach. Energy Conversion and Management, v52, n11, Oct, 2011, pp. 3301–3308.
[6]Q. Kang, T. Lan, Y. Yan, L. Wang, Q. Wu. Group search optimizer based optimal location and capacity of distributed generations. Journal Neurocomputing, v78, n1, Feb, 2012, pp.55–63.
[7]H. Hamedi, M. Gandomkar. A straightforward approach to minimizing unsupplied energy and power loss through DG placement and evaluating
power quality in relation to load variations over time. Electrical Power and Energy Systems, v35, n1, Feb, 2012, pp.93–96.
[8]R. Biliinton, R. N. Allan. Reliability evaluation of engineering Systems. New York, 1992, 2nd edn.
[9]L. Goel, R. Billinton. Evaluation of interrupted energy assessment rates in distribution systems.IEEE Transaction on Power Delivery, v6, n4, Oct, 1991, pp.1876–1882.
[10]P. L. Lewin, J. E. Theed, A. E. Davies, S. T. Larsen. Method for rating power cables buried in surface troughs. IEE Proc., Gener. Transm. Distrib, v146, n4, July, 1999, pp.360–364.
[11]S. V. Nikolajevic. The Behavior of Water in XLPE and EPR Cables and Its Influence on the Electrical Characteristics of Insulation. IEEE Transactions on Power Delivery, v14, n1, Jan, 1999, pp.39-45.
[12]R. E. Brown. Electric power distribution reliability. Marcel Dekker Inc, New York, Basel, 2009.
[13]M. Mosadeghi, J. Mohammadi, A. Rahimi-Kian. Effects of Energy Subsidies Removal on Distributed Generation Investment in Iran. 10th International Conference on Environment and Electrical Engineering (EEEIC), 2011, pp.8-11.
[14]S. F. Mekhamer, S. A. Soliman, M. A. Moustafa, M. E. El-Hawary. Application of fuzzy logic for reactive power compensation of radial distribution feeders. IEEE Transaction on Power System, v18, n1, Feb, 2003, pp.206–213.
[15]R. Eberhart, J. Kennedy. A new optimizer using particle swarm theory. sixth international symposium on micro machine and human science, Nagoya, Japan, 1995, pp.39–43.
[16]Y. Shi, R. Eberhart. A modified particle swarm optimizer. IEEE world congress on computational intelligence, Alaska, USA, 1998, pp.69–73.
[17]M. R. AlRashidi, M. E. El-Hawary. A survey of particle swarm optimization applications in electric power systems. IEEE Transaction on Evolutionary Computation, v13, n4, Aug, 2009, pp.913–918.
[18]J. Kennedy, RC. Eberhart. A discrete binary version of the particle swarm algorithm. Proceedings of IEEE conference on systems, man and cybernetics, 1997, pp.4104–4108.
[19]R. Billinton R, R. N. Allan. Reliability evaluation of power systems. Plenum, New York, 1996, 2nd edn.
[20]B. Venkatesh, R. Ranjan. Fuzzy EP algorithm and dynamic data structure for optimal capacitor allocation in radial distribution systems. IEE Proc., Gener. Transm. Distrib, v153, n1, Jan, 2006, pp.80–88.
[21]JJ. Grainger, SH. Lee. Optimum size and location of shunt capacitors for reduction of losses on distribution feeders. IEEE Transaction on Power Apparatus and Systems, v100, n3, March, 1981, pp.1105–1118.
[22]M. A. Kashem, V. Ganapathy, G. B. Jasmon, M. I. Buhari. A novel method for loss minimization in distribution networks. In: Proceedings of international conference on electric utility deregulation and restructuring and power technologies, April, 2000, pp.251–255.