Main Article Content
The optimal placement and sizing of Distributed Generation (DG) using has been shown by researchers to be effective in the reduction of power losses and improvement of voltage profile on a radial distribution network. However, it has not been applied to solve the inherent problems of real Nigerian distribution network. Therefore, this paper aimed at optimal placement and sizing of DG using Cuckoo Search Algorithm (CSA) in a real Nigerian distribution network taking Ayepe 34-bus as a case study.
The objective function was formulated considering the real power loss, the minimum Voltage Stability Index (VSI) and the reactive power loss using weight method. The formulated objective function was incorporated into the CSA. Power flow analyses were performed with line and load data of Ayepe 34-bus distribution network without the incorporation of DG for the base case, with incorporation of single DG and two DG units.
The total active power loss, minimum VSI and total reactive power loss for the base case were 0.762 MW, 0.4741, 0.146 MVar respectively. The optimal size and bus location after single DG installation were found to be (3.5 MW, 11) respectively while the optimal size and location for the two-DG units’ installation were found to be (2.4 MW, 13; 1.4 MW, 21), respectively. With single DG unit, the total active power loss, minimum VSI and total reactive power loss were 0.141 MW, 0.9064 and 0.027 MVar respectively. For two-DG units, the total active power loss, minimum VSI and total reactive power loss 0.131 MW, 0.9287 and 0.025 MVar respectively.
The results established the effectiveness of the optimal placement and sizing of DG for the Nigerian distribution system in terms of reduction of power losses, improvement of voltage stability index and profile using CSA technique.
Priyanka D, Banerjee S. Optimal sizing and placement of capacitor in a radial distribution system with loss sensitivity factor and firefly algorithm. International Journal of Engineering and Computer Science. 2014;3(4):5346-5352.
Liu W, Zhang H. Allocation of DG based on improved particle swarm optimization algorithm. 2nd International Conference on Measurement, Information and Control. 2013;1242-1245.
Tan, WS, Hassan MY, Majid MS, Rahman HA. Allocation and sizing of DG using cuckoo search. IEEE International Conference on Power and Energy (PECon), Kota Kinabalu Sabah, Malasia. 2012;133–138.
Nweke JN, Ekwue AO, Ejiogwu EC. Optimal location of distributed generation on the Nigerian power system. Nigerian Journal of Technology (NIJOTECH). 2016; 35(2):398-403.
Hassan A, Fahmy F, Nafeh A, Abuelmagel M. Genetic single objective optimization for sizing and allocation of renewable DG systems. Int. J. Sustain Energy. 2015;1(1): 1-8.
Varesi K. Optimal allocation of DG units for power loss reduction and voltage profile improvement of distribution network using PSO algorithm. World Academy of Science, Engineering and Technology; 2011.
Karaboga D, Akay B. A comparative study of artificial bee colony algorithm. Applied Mathematics and Computation. 2009; 214(1):108-132.
Dorigo M, Stutzle T. Ant colony optimization. A Bradford book, the MIT Pree, Cambridge, Massachusett, London, England; 2004.
Majid M, Ozdemir A, Ceylen. Optimal DG allocation and sizing in radial distribution networks by cuckoo search algorithm. 19th International Conference on Intelligent System Application to Power System (ISAP). 2017;1-6.
Wang M, Zhong J. A Novel Method for Distributed Generation and Capacitor Optimal Placement considering Voltage Profiles. IEEE; 2011.
Sirish TS, Rao GVS, Murthy KVS. Optimal capacitor and DG placement for loss less distribution on 69- bus system using KVS – Direct Search Algorithm. International Journal of Engineering Trends in Electrical and Electronics. IJETEE. 2013;3(1).
Sharma KM, Vittal KP, Seshagiri P. A heuristic approach for distributed generation sources location and capacity evaluation in distribution systems. TENCON IEEE regional 10 conferences. IEEE Publication Conference. 2008;1- 6.
Alinejad – Beromi Y, Sedighizadeh M, Sadighi MM. A particle swarm optimization for sitting and sizing of distributed generation in distribution network to improve voltage profile and reduce TDH and Losses in Universities Power Engineering Conference (UPEC),43rd International. 2008;1-5.
Roy S, Sultana S, Roy PK. Oppositional optimization algorithm to solve DG allocation problem of radial distribution system. International Conference on Recent Developments in Control, Automation and Power Engineering (RDCAPE). 2015;44-49.
Kamarudin MN, Hashim TJT, Musa A. Optimal placement and location of distributed generation for loss minimization using fierfly algorithm. Indonesian Journal of Electrical Engineering and Computer Science. 2019;14(1):421-427.
Moeini A, Yassami, AM, Owlady M, Sadeghi MH. Disco planner flexible DG allocation in MV distribution networks using multi-objective optimization procedures. 12th International Conference on Optimization Procedures. International Conference on Optimization of Electrical and Electronic Equipment, OPTIM. 2010; 240-245.
Yang XS, Deb S. Engineering optimization by cuckoo search. Int. J. Mathematical Modelling and Numerical Optimization. 2009;1:330-343.
Yang XS, Deb S. Cuckoo search via levy flights in nature and biologically inspired computing, (NaBIC), World Congress. 2010;32(4):210-214.