Jamian, J.J. and Lim, Z.J. and Dahalan, W.M. and Mokhlis, Hazlie and Mustafa, M.W. and Abdullah, M.N.
(2012)
*Reconfiguration distribution network with multiple distributed generation operation types using simplified artificial bees colony.*
International Review of Electrical Engineering, 7 (4).
pp. 5108-5118.
ISSN 1827-6660

## Abstract

The power losses in the distribution network are the critical issues that most researchers are trying to solve nowadays. From the passive distribution network in the last decades, the existing of Distributed Generation (DG) in the system will now allow the network to contribute in supplying some of the power to the load. However, selecting the optimal size of DG plays important role to avoid any drawback to the network. The connection of high capacity and excess number of DG units to electrical power system will lead to very high power losses. This factor makes the optimal size of DG become an important issue for the network to have lower power losses value. Furthermore, the use of reconfiguration method in cooperating with the DG units can help the system to have much lower power loss for the distribution system. Since the reconfiguration only required small investment in controlling method, it is very suitable to be used in improving the voltage profile and the power losses after the optimal DG is achievable. Three types of DG modes are used in the study which is constant voltage mode (PV), constant voltage with reactive power mode (PV with VAR constraint) and constant power mode (PQ mode).The Rank Evolutionary Particle Swarm Optimization (REPSO) and a Novel Simplified Artificial Bee Colony (SABC) are used in finding the optimal size of DG and the best configuration of the network respectively. The results show that the use of reconfiguration technique has improved the power losses as well as the voltage profile for the network even after optimal DG sizing has been achieved.

Item Type: | Article |
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Additional Information: | Export Date: 17 April 2013 Source: Scopus Language of Original Document: English Correspondence Address: Jamian, J. J.; Faculty of Electrical Engineering, Universiti Teknologi Malaysia, UTM Johor Bahru, Johor, 81310, Malaysia References: Wong, L., (2011) A review of transmission losses in planning studies, , California Energy Commission, CEC-200-2011-009; Duong, Q.H., Mithulananthan, N., Bansal, R.C., Analytical expressions for dgallocation in primary distribution networks (2010) IEEE Transactions on Energy Conversion, 25 (3), pp. 814-820; Abu-Mouti, F.S., El-Hawary, D.M.E., Optimal Distributed Generation Allocation and Sizing in Distribution Systems via Artificial Bee Colony Algorithm (2011) IEEE Transactions on Power Delivery, 26 (4), pp. 2090-2101. , Oct; Nerves, A.C., Roncesvalles, J.C.K., Application of evolutionary programming to optimal siting and sizing and optimal scheduling of distributed generation (2009) TENCON 2009-2009 IEEE Region 10 Conference, pp. 1-6. , 23-26 Jan; Sulaiman, S.I., Rahman, T.K.A., Musirin, I., Novel Intelligent Sizing Algorithm for Grid-connected Photovoltaic System Design (2010) International Review on Modelling and Simulations (IREMOS), 3 (4), pp. 639-652. , August; Jamian, J.J., Mustafa, M.W., Mokhlis, H., Abdullah, M.N., Comparative Study on Distributed Generator Sizing Using Three Types of Particle Swarm Optimization (2012) Intelligent Systems, Modelling and Simulation (ISMS), (8-10), pp. 131-136. , Third International Conference on, Feb, 2012; El-Zonkoly, A.M., Optimal placement of multi-distributed generation units including different load models using particle swarm optimisation (2011) IET Generation Transmission & Distribution, 5 (7), pp. 760-771. , July; Moradi, M.H., Abedini, M., A combination of genetic algorithm and particle swarm optimization for optimal DG location and sizing in distribution systems (2012) International Journal of Electrical Power & Energy Systems, 34 (1), pp. 66-74. , Jan; Khanjanzadeh, A., Sedighizadeh, M., Rezazadeh, A., DG Allocation Using Clonal Selection Algorithm (CSA) to Minimize Losses and Improve Voltage Security (2011) International Review on Modelling and Simulations (IREMOS), 4 (1), pp. 214-219. , February; Arun, M., Aravindhababu, P., A new reconfiguration scheme for voltage stability enhancement of radial distribution systems (2009) Energy Conversion and Management, 50, pp. 2148-2151; Sivanagaraju, S., Visali, N., Sankar, V., Ramana, T., Enhancing voltage stability of radial distribution system by network reconfiguration Electrical Power Components and Systems, 33 (5), pp. 539-550; Sahooand, N.C., Prasad, K., A fuzzy genetic approach for network reconfiguration to enhance voltage stability in radial distribution systems (2006) Energy Conversion and Management, 47 (18-19), pp. 3288-3306; Subrahmanyam, J.B.V., Radhakrishna, C., A simple method for feeder reconfiguration of balanced and unbalanced distribution systems for loss minimization Electric Power Components and Systems, 38 (1), pp. 72-84; Li, Q.W., Ding, W., A new reconfiguration approach for distribution system with distributed generation (2009) International Conference on Energy and Environment Technology ICCET 2009, pp. 24-26. , 16-18 Oct; Rugithaicharoencheep, N., Sirisumarannukul, S., Feeder reconfiguration for loss reduction in distribution system with distributed generators by tabu search (2009) GMSARN International Journal, 3, pp. 47-54; Rugithaicharoencheep, N., Sirisumarannukul, S., Feeder reconfiguration with dispatchabledistributed generators in distribution system by tabu search (2009) Proceedings of the 44th International Universities Power Engineering Conference (UPEC), pp. 1-5. , 1-4 Sept; Prasad, P.V., Sivanagaraju, S., Sreenivasulu, N., Network reconfiguration for load balancing in radial distribution systems using genetic algorithm Electric Power Components and Systems, 36 (1), pp. 63-72; Gupta, N., Swarnarand, A., Nizai, K.R., Reconfiguration of Distribution Systems for Real Power Loss Minimization Using Adaptive Particle Swarm Optimization Electric Power Components and Systems, 39 (4), pp. 317-330; Sivanagaraju, S., ViswanathaRaoand, J., Raju, P.S., Discrete Particle Swarm Optimization to Network Reconfiguration for Loss Reduction and Load Balancing Electric Power Components and Systems, 36 (5), pp. 513-524; Wu, Y.K., Lee, C.Y., Liu, L.C., Tsai, S.H., Study of Reconfiguration for the Distribution System With Distributed Generators (1983) IEEE Transaction on Power Delivery, 25 (3), pp. 1678-1685; Baran, M.E., Wu, F.F., Network Reconfiguration in Distribution Systems for Loss Reduction and Load Balancing, Power Delivery (1989) IEEE Transactions on, 4 (2), pp. 1401-1407. , Apr; Karaboga, N., A New Design Method on Artificial Bee Colony Algorithm for Digital IIR Filters (2009) Journal of the Franklin Institute, 346, pp. 328-348; Jamian, J.J., Musa, H., Mustafa, M.W., Mokhlis, H., Adamu, S.S., Combined Voltage Stability Index for Charging Station Effect on Distribution Network (2011) International Review of Electrical Engineering (IREE), 6 (7), pp. 3175-3184. , December; Su, C.-T., Chang, C.-F., Chiou, J.-P., Distribution Network Reconfiguration for Loss Reduction by Ant Colony Search Algorithm (2005) Electric Power Systems Research, 75 (2-3), pp. 190-199. , August; Sathish Kumar, K., Jayabarathi, T., Power system reconfiguration and loss minimization for andistribution systemsusing bacterial foraging optimization algorithm (2011) Electrical Power and Energy Systems 36, pp. 13-17. , Nov; Olamie, J., Niknam, T., Gharehpetian, G., Application of Particle Swarm Optimization for Distribution feeder Reconfiguration Considering Distributed Generators (2008) Applied Mathematics and Computation, pp. 575-586; Fang ZongWang, J.Y., A Refined Plant Growth Simulation Algorithm for Distribution Network Reconfiguration (2009) IEEE Trans. onPower Systems, pp. 4244-4738 |

Uncontrolled Keywords: | Distributed generation; Optimization techniques; Power loss reduction; Reconfiguration; Particle Swarm Optimization; Distribution-systems; Voltage stability; Algorithm; Allocation |

Subjects: | T Technology > TA Engineering (General). Civil engineering (General) T Technology > TK Electrical engineering. Electronics Nuclear engineering |

Divisions: | Faculty of Engineering |

Depositing User: | Mr Jenal S |

Date Deposited: | 10 Jul 2013 07:36 |

Last Modified: | 09 Oct 2019 09:26 |

URI: | http://eprints.um.edu.my/id/eprint/7836 |

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