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Harmony Search Algorithm and Teaching-Learning-based Optimization Approaches for Optimal Allocation and Sizing of PV Distributed Generations under Several Loading Conditions

Mahmoud Abdallah Attia*, Mohamed Ezzat**, Ibrahim M. Diaa***

*-**Department of Electric Power and Machines, Faculty of Engineering, Ain Shams University, Cairo, Egypt.

***Department of Engineering Physics and Mathematics, Faculty of Engineering, Ain Shams University, Cairo, Egypt.

Periodicity:July - December'2021
DOI : https://doi.org/10.26634/jic.9.2.14954

Abstract

This article aims to reduce power losses and improve system reliability by determining the optimal number, location and size of Photovoltaic Distributed Generators (PV-DG). The PV-DG is modeled as a negative load, draws reactive power from grid and injects real power to the grid. Optimum allocation of PV-DGs and their sizing is obtained by harmony search algorithm (HS) and teaching-learning-based optimization (TLBO) approaches. IEEE 33-bus distribution system was successfully demonstrated by the proposed approach. HS has proven its superiority against TLBO algorithm as it uses less DGs rating devices to enhance distribution system performance. The new contribution in this research is to optimize the number of DGs and does not operate with a given number of DGs (1 DG, 2 DG ,…..) as most of previous works. Another contribution is to study the optimization under several loading conditions.

Keywords

Distributed Generations, Harmony Search Algorithm, Teaching Learning Based Optimization, Optimal Locations, Sizing, Loss Minimization.

How to Cite this Article?

Attia, M. A., Ezzat, M., and Diaa, I. B. (2021). Harmony Search Algorithm and Teaching-Learning-based Optimization Approaches for Optimal Allocation and Sizing of PV Distributed Generations under Several Loading Conditions. i-manager's Journal on Instrumentation and Control Engineering, 9(2), 1-14. https://doi.org/10.26634/jic.9.2.14954

References

[1]. Ackermann, T., Andersson, G., & Söder, L. (2001). Distributed generation: A definition. Electric Power Systems Research, 57(3), 195-204.

[2]. Algarni, A. A., & Bhattacharya, K. (2009). Disco operation considering DG units and their goodness factors. IEEE Transactions on Power Systems, 24(4), 1831-1840.

[3]. Ali, E. S., Abd Elazim, S. M., & Abdelaziz, A. Y. (2016). Ant lion optimization algorithm for renewable distributed generations. Energy, 116, 445-458.

[4]. Augugliaro, A., Dusonchet, L., Favuzza, S., Ippolito, M. G., & Sanseverino, E. R. (2010). A backward sweep method for power flow solution in distribution networks. International Journal of Electrical Power & Energy Systems, 32(4), 271-280.

[5]. Banerjee, B., & Islam, S. M. (2011). Reliability based optimum location of distributed generation. International Journal of Electrical Power & Energy Systems, 33(8), 1470-1478.

[6]. Bompard, E., Carpaneto, E., Chicco, G., & Napoli, R. (2000). Convergence of the backward/forward sweep method for the load-flow analysis of radial distribution systems. International journal of Electrical Power & Energy Systems, 22(7), 521-530.

[7]. Carpinelli, G., Celli, G., Mocci, S., Pilo, F., & Russo, A. (2005). Optimisation of embedded generation sizing and siting by using a double trade-off method. IEE Proceedings-Generation, Transmission and Distribution, 152(4), 503-513.

[8]. El-Khattam, W., Hegazy, Y. G., & Salama, M. M. A. (2005). An integrated distributed generation optimization model for distribution system planning. IEEE Transactions on Power Systems, 20(2), 1158-1165.

[9]. Elmitwally, A. (2013). A new algorithm for allocating multiple distributed generation units based on load centroid concept. Alexandria Engineering Journal, 52(4), 655-663.

[10]. Esmaili, M. (2013). Placement of minimum distributed generation units observing power losses and voltage stability with network constraints. IET Generation, Transmission & Distribution, 7(8), 813-821.

[11]. Geem, Z. W., Kim, J. H., & Loganathan, G. V. (2001). A new heuristic optimization algorithm: Harmony search. Simulation, 76(2), 60-68.

[12]. Hien, N. C., Mithulananthan, N., & Bansal, R. C. (2013). Location and sizing of distributed generation units for loadabilty enhancement in primary feeder. IEEE Systems Journal, 7(4), 797-806.

[13]. Kaundal, V., Mondal, A. K., Sharma, P., & Bansal, K. (2015). Tracing of shading effect on underachieving SPV cell of an SPV grid using wireless sensor network. Engineering Science and Technology, an International Journal, 18(3), 475-484.

[14]. Keane, A., & O'Malley, M. (2005). Optimal allocation of embedded generation on distribution networks. IEEE Transactions on Power Systems, 20(3), 1640-1646.

[15]. Kim, K. H., Lee, Y. J., Rhee, S. B., Lee, S. K., & You, S. K. (2002, July). Dispersed generator placement using fuzzyGA in distribution systems. In IEEE Power Engineering Society Summer Meeting, (Vol. 3, pp. 1148-1153). IEEE.

[16]. Kumar, N., Chelliah, T. R., & Srivastava, S. P. (2016). Analysis of doubly-fed induction machine operating at motoring mode subjected to voltage sag. Engineering Science and Technology, an International Journal, 19(3), 1117-1131.

[17]. Liu, B., Zhuo, F., Zhu, Y., & Yi, H. (2014). System operation and energy management of a renewable energy-based DC micro-grid for high penetration depth application. IEEE Transactions on Smart Grid, 6(3), 1147-1155.

[18]. Mithulananthan, N., Oo, T., & Phu, L. V. (2015). Distributed generator placement in power distribution system using genetic algorithm to reduce losses. Science & Technology Asia, 55-62.

[19]. Muneer, W., Bhattacharya, K., & Canizares, C. A. (2011). Large-scale solar PV investment models, tools, and analysis: The Ontario case. IEEE Transactions on Power Systems, 26(4), 2547-2555.

[20]. Nayanar, V., Kumaresan, N., & Gounden, N. G. A. (2016). Wind-driven SEIG supplying DC microgrid through a single-stage power converter. Engineering Science and Technology, an International Journal, 19(3), 1600-1607.

[21]. Nekooei, K., Farsangi, M. M., Nezamabadi-Pour, H., & Lee, K. Y. (2013). An improved multi-objective harmony search for optimal placement of DGs in distribution systems. IEEE Transactions on Smart Grid, 4(1), 557-567.

[22]. Niknam, T., Ranjbar, A. M., Shirani, A. R., Mozafari, B., & Ostadi, A. (2005, October). Optimal operation of distribution system with regard to distributed generation: a comparison of evolutionary methods. In Fourtieth IAS Annual Meeting. Conference Record of the 2005 Industry Applications Conference, (Vol. 4, pp. 2690-2697). IEEE.

[23]. Rao, R. S., Narasimham, S. V. L., & Ramalingaraju, M. (2008). Optimization of distribution network configuration for loss reduction using artificial bee colony algorithm. International Journal of Electrical Power and Energy Systems Engineering, 1(2), 116-122.

[24]. Rao, R. V., Savsani, V. J., & Vakharia, D. P. (2011). Teaching–learning-based optimization: a novel method for constrained mechanical design optimization problems. Computer-Aided Design, 43(3), 303-315.

[25]. Rau, N. S., & Wan, Y. H. (1994). Optimum location of resources in distributed planning. IEEE Transactions on Power Systems, 9(4), 2014-2020.

[26]. Rider, M. J., López-Lezama, J. M., Contreras, J., & Padilha-Feltrin, A. (2013). Bilevel approach for optimal location and contract pricing of distributed generation in radial distribution systems using mixed-integer linear programming. IET Generation, Transmission & Distribution, 7(7), 724-734.

[27]. Shaaban, M. F., Atwa, Y. M., & El-Saadany, E. F. (2012). DG allocation for benefit maximization in distribution networks. IEEE Transactions on Power Systems, 28(2), 639-649.

[28]. Shirmohammadi, D., Hong, H. W., Semlyen, A., & Luo, G. X. (1988). A compensation-based power flow method for weakly meshed distribution and transmission networks. IEEE Transactions on Power Systems, 3(2), 753-762.

[29]. Sunisith, S., & Meena, K. (2014). Backward/forward sweep based distribution load flow method. International Electrical Engineering Journal (IEEJ), 5(9), 1539-1544.

[30]. Sutthibun, T., & Bhasaputra, P. (2010, May). Multiobjective optimal distributed generation placement using simulated annealing. In ECTI-CON2010: The 2010 ECTI International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (pp. 810-813). IEEE.

[31]. Wang, L., & Singh, C. (2008). Reliability-constrained optimum placement of reclosers and distributed generators in distribution networks using an ant colony system algorithm. IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews), 38(6), 757-764.

[32]. Zou, K., Agalgaonkar, A. P., Muttaqi, K. M., & Perera, S. (2011). Distribution system planning with incorporating DG reactive capability and system uncertainties. IEEE Transactions on Sustainable Energy, 3(1), 112-123.

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Harmony Search Algorithm and Teaching-Learning-based Optimization Approaches for Optimal Allocation and Sizing of PV Distributed Generations under Several Loading Conditions

Abstract

Keywords

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