An Efficient Method for Sizing and Allocation of Distributed Generation and Voltage Regulators in a Distribution Network

An Efficient Method for Sizing and Allocation of Distributed Generation and Voltage Regulators in a Distribution Network

Saeedeh Ketabipour  Shahrokh Shojaeian

Department of Engineering, Islamic Azad University, Khomeinishahr Branch, Isfahan 84175-119, Iran

Corresponding Author Email:
27 May 2018
30 June 2018
30 June 2018
| Citation



One of the well-known challenges in designing long distribution lines is to determine the efficient locations of voltage drop compensating devices e.g. Voltage Regulators (VRs) and Distributed Generations (DGs). Determination of optimal locations, results in more economical benefit of these equipments. The majority of the works presented in the literature try to satisfy this goal, using classical load flow methods, such as Newton-Raphson approach or the back-forward method. However, these classical methods may suffer from some serious deficiencies. Namely, the first method is faced to the risk of divergence in distribution systems and the second is time consuming. Moreover, both methods impose quite significant complexity. The method presented in this paper employs a load distribution technique in addition to the genetic algorithm solution, enabling the investigation of simultaneous effects of the distributed generation and voltage regulator on a distribution feeder. In the proposed algorithm, an objective function composed of power losses and voltage deviations is used to obtain an optimal location of the above mentioned equipments (DGs and VRs) and the efficient size of the distributed generation system. The proposed idea has been examined for the IEEE 33-Bus test system and its favorable efficiency is confirmed.


distribution network, voltage regulator, genetic algorithm, voltage drop, distributed generation

1. Introduction
2. Distributed Generation
3. Voltage Regulator
4. The Proposed Method
5. Simulation Study
6. Conclusion

[1] Mithulananthan N, Oo T, Phu LV. (2004). Distributed generator placement in power distribution system using genetic algorithm to reduce losses. Thammasat International Journal of Science and Technology 9(3): 55-62. 

[2] Willis HL. (2000). Analytical methods and rules of thumb for modeling DG-distribution interaction. IEEE Summer Meeting in Power Engineering Society 1643-1644.

[3] Kim KH, Lee YJ, Rhee SB, Lee SK, You SK. (2002). Dispersed generator placement using fuzzy-GA in distribution systems. IEEE Summer Meeting in Power Engineering Society 1148-1153. 

[4] Karaboga D, Basturk B. (2007). Artificial bee colony (ABC) optimization algorithm for solving constrained optimization problems. International World Congress in Fuzzy Systems Association 789-798.

[5] Ebrahimi A, Mohseni S. (2001). Multipurpose reconfiguration of distribution systems using fuzzy reasoning approach. 16th International Conference and Exhibition on Electricity Distribution. CIRED, Amsterdam.

[6] Jin X, Zhao J, Sun Y, Li K, Zhang B. (2004). Distribution network reconfiguration for load balancing using binary particle swarm optimization. International Conference on Power System Technology 507-510.

[7] Chang CF. (2008). Reconfiguration and capacitor placement for loss reduction of distribution systems by ant colony search algorithm. IEEE Transactions on Power Systems 23(4): 1747-1755.

[8] Jin L, Qiu J. (2002). CMAC neural network based network reconfiguration for loss minimization in distribution networks. International Conference on Power System Technology 1068-1072

[9] Hedayati H, Nabaviniaki SA, Akbarimajd A. (2008). A method for placement of DG units in distribution networks. IEEE Transactions on Power Delivery 23(3): 1620-1628. 916106

[10] Yammani C, Maheswarapu S, Matam S. (2012). Multiobjective optimization for optimal placement and size of dg using shuffled frog leaping algorithm. Energy Procedia 14: 990-995. .2011.12.1044

[11] Moradi MH, Abedini M. (2012). A combination of genetic algorithm and particle swarm optimization for optimal DG location and sizing in distribution systems. International Journal of Electrical Power and Energy Systems 34(1): 66-74.

[12] Borges CL, Falcao DM. (2006). Optimal distributed generation allocation for reliability, losses, and voltage improvement. International Journal of Electrical Power and Energy Systems. 28(6): 413-420.

[13] Celli G, Ghiani E, Mocci S, Pilo F. (2005). A multiobjective evolutionary algorithm for the sizing and siting of distributed generation IEEE Transactions on Power Systems 20(2): 750-757.

[14] Baran ME, Wu FF. (1989). Optimal sizing of capacitors placed on a radial distribution system. IEEE Transactions on Power Delivery 4(1): 735-743.

[15] Chiang HD, Wang JC, Tong J, Darling G. (1995). Optimal capacitor placement, replacement and control in large-scale unbalanced distribution systems: system solution algorithms and numerical studies. IEEE transactions on Power Systems 10(1): 363-369.

[16] Sandhya K, Laxmi AJ, Soni MP. (2013). Optimal voltage regulators placement in radial distribution system using fuzzy logic. International Journal of Application or Innovation in Engineering & Management 2(4): 331-338.

[17] Pereira CAN, Castro CA. (2009). Optimal placement of voltage regulators in distribution systems. IEEE Bucharest Power Tech 1-5.

[18] Dolli SA, Jangamshetti SH. (2012). Modelling and optimal placement of voltage regulator for a radial system. International Conference on Power, Signals, Controls and Computation 1-6.

[19] Moghaddas-Tafreshi SM, Mashhour E. (2009). Distributed generation modelling for power flow studies and a three-phase unbalanced power flow solution for radial distribution systems considering distributed generation. Electric Power Systems Research 79(4): 680-686,

[20] Kashem M, Le A, Ledwich G, Negnevitsky M. (2005). Minimising power losses in distribution systems with distributed resources. IEEE Power Engineering Society General Meeting 386-391.

[21] Short TA. (2014). Electric power distribution handbook, CRC Press.

[22] Kersting WH. (2009). The modeling and application of step voltage regulators. IEEE/PES Power Systems Conference and Exposition 1-8.

[23] Baran ME, Wu FF. (1989). Network reconfiguration in distribution systems for loss reduction and load balancing. IEEE Transactions on Power Delivery 4(2): 1401-1407.

[24] Sastry K, Goldberg DE, Kendall G. (2014). Search methodologies (Chapter 4). Springer US 93-117.

[25] Acharya N, Mahat P, Mithulananthan N. (2006). An analytical approach for DG allocation in primary distribution network. International Journal of Electrical Power and Energy Systems 28(10): 669-678