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      Optimal Allocation of DGs with network reconfiguration using Improved Spotted Hyena Algorithm

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          Abstract

          Several studies of distribution network enhancement focused only on the optimization of either the integration of distributed generations (DGs) or system reconfiguration (SRC). However, very few researches have been exerted for incorporating both where this merge represents further complexities in searching for maximizing their benefits and minimizing the investments. This paper sheds light on the simultaneous allocation of DGs with SRC in distribution systems. It suggests a multi-objective formulation considering multiple objectives: active power loss minimization, total cost reduction, and voltage profile improvement. For solving this problem, an improved spotted hyena optimizer (ISHO) is developed. The SHO demonstrates a good feature in finding the optimal or nearly optimal subset with simple structure to minimize the given fitness function. To support the exploration characteristics of the proposed ISHO, it augments a switch strategy in the updating mechanism of the spotted hyena’s positions and random positions are generated instead of the violated spotted hyenas. The simulations are investigated for the integration of a single and multiple DGs with SRC for two standard systems, which are IEEE 33 and 69-node test systems. The obtained results prove the efficiency of the suggested method for the network manager to find the optimal DGs allocation with SRC considering multiple criteria. These results are compared with previous literatures to demonstrate the effectiveness of the proposed algorithm.

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          Author and article information

          Journal
          WSEAS TRANSACTIONS ON POWER SYSTEMS
          World Scientific and Engineering Academy and Society (WSEAS)
          1790-5060
          February 17 2020
          February 17 2020
          April 16 2020
          April 16 2020
          : 15
          : 60-67
          Affiliations
          [1 ]Electrical Engineering Department, Faculty of Engineering, Menoufiya University, Shebin El-Kom, Egypt
          [2 ]Electrical Engineering Department, Faculty of Engineering, Suez University Suez, Egypt
          [3 ]Electrical Engineering Department, Kafrelsheikh University, Kafrelsheikh, Egypt
          [4 ]High institue of Engineering and Technology, El-Bajour, Egypt
          Article
          10.37394/232016.2020.15.7
          5d199c75-ce08-425b-8eef-2cace26bf978
          © 2020

          https://www.wseas.org/multimedia/journals/power/2020/a145116-082.pdf

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