Optimal Siting and Sizing of Battery Energy Storage System for Distribution Loss Reduction Based on Meta-heuristics
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Optimal Siting and Sizing of Battery Energy Storage System for Distribution Loss Reduction Based on Meta‑heuristics Kunju Bai1 · Abdullah Yildizbasi2 Received: 14 January 2020 / Revised: 13 March 2020 / Accepted: 2 June 2020 © Brazilian Society for Automatics--SBA 2020
Abstract This paper presents an optimal sitting and sizing model of a lithium-ion battery energy storage system for distribution network employing for the scheduling plan. The main objective is to minimize the total power losses in the distribution network. To minimize the system, a newly developed version of cayote optimization algorithm has been introduced and validated based on different test functions and verified by some well-known meta-heuristics. The proposed algorithm is then applied to four different case studies in the presence of two photo voltaic (PVs) and without them. The optimization of the problems is applied based on two different trends including simultaneous and step-by-step optimization. Final results are compared with some meta-heuristics including cuckoo optimization algorithm, lion optimization algorithm, and cooperative random particle swarm optimization algorithm to show the algorithm higher efficiency. The results also showed that the presence of PVs reduces the total power losses and applying the simultaneous optimization gives higher efficiency with less total power losses. Keywords Optimal sitting and sizing · Battery energy storage system · Developed coyote optimization algorithm · Step-bystep optimization · Simultaneous optimization
1 Introduction Due to the long distance of remote area from the national grid, undesirable geographical implications, and high costs of construction and development of power transmission lines, an appropriate solution should be considered (Aghajani and Ghadimi 2018; Liu et al. 2017). Distributed generation resources are good alternatives to supply and to provide the need of traditional power grids with controllable loads as safe and economical grid (Gollou and Ghadimi 2017; Mirzapour et al. 2019). This trend is partly performed by providing the micro-grids with decreasing the network control responsibility and with maximizing economic returns. Consequently, a suitable solution to this end is to provide small networks that work independently from the main network (Hosseini Firouz and Ghadimi 2016). * Kunju Bai [email protected] * Abdullah Yildizbasi [email protected] 1
Hebi Polytechnic, Hebi 458030, Henan, China
Ankara Yıldırım Beyazıt University, Ankara, Turkey
2
Today, renewable energies have been suggested as good alternatives for the micro-grids. However, the inconsistency of the amount of renewable energy sources, such as sunlight in photovoltaic (PV) systems or wind speed in the wind turbines is one of the problems with using these types of resources (Hamian et al. 2018). Due to the uncertainty of the generation capacity of these types of sources, no specific electrical planning can be achieved with the aim of optimal supply (Leng et al. 2018; Akbary et al. 2019;
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