Optimal Sizing and Locations of Multiple BESSs in Distribution Systems Using Crayfish Optimization Algorithm

In distribution systems, battery energy storage systems (BESSs) are the key to fully utilize energy generated from all installed distributed generations (DGs). Only one BESS might be inadequate for present distribution systems connected with several DGs. Thus, this work presents the optimal sizing a...

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Published in:	IEEE access Vol. 12; pp. 94733 - 94752
Main Authors:	Wichitkrailat, Krit, Premrudeepreechacharn, Suttichai, Siritaratiwat, Apirat, Khunkitti, Sirote
Format:	Journal Article
Language:	English
Published:	Piscataway IEEE 2024 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	Algorithms Batteries Battery energy storage system Battery energy storage systems (BESSs) Costs Distributed generation distributed generations Distribution networks Electric power distribution Electric power loss Electricity Energy distribution Energy storage Loss reduction Maintenance metaheuristic algorithms Metaheuristics Optimization algorithms Particle swarm optimization Peak load Sizing Storage systems System performance Voltage control
ISSN:	2169-3536, 2169-3536
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Abstract	In distribution systems, battery energy storage systems (BESSs) are the key to fully utilize energy generated from all installed distributed generations (DGs). Only one BESS might be inadequate for present distribution systems connected with several DGs. Thus, this work presents the optimal sizing and locations of multiple BESSs in distribution systems connected with distributed generations (DGs) where more than one BESS is investigated. To solve the complicated problem with multiple BESSs, a newly proposed optimization algorithm named crayfish optimization algorithm (COA) is applied to solve the problem, and the results are compared with those generated from particle swarm optimization (PSO) and salp swarm algorithm (SSA). The optimization problem aims to minimize overall system costs while enhancing distribution system performance in three aspects including voltage regulation improvement, peak demand reduction, and power loss reduction. The IEEE 33- and 69-bus distribution systems connected with DGs are tested to verify the approach. The simulation results demonstrate that BESS installations can significantly improve the efficiency of the distribution systems where installing multiple BESSs proves to be more effective than a single BESS although it also increases the overall costs. It is found that in the case of multiple BESSs, %VDI, peak demand, and power loss could be improved from the base case by 43.43%, 50.00%, and 12.21%, respectively, in the IEEE 33-bus system and 42.32%, 45.74%, and 4.69%, respectively, for the IEEE 69-bus system. Furthermore, it is found that COA outperforms the compared algorithms in both systems.
AbstractList	In distribution systems, battery energy storage systems (BESSs) are the key to fully utilize energy generated from all installed distributed generations (DGs). Only one BESS might be inadequate for present distribution systems connected with several DGs. Thus, this work presents the optimal sizing and locations of multiple BESSs in distribution systems connected with distributed generations (DGs) where more than one BESS is investigated. To solve the complicated problem with multiple BESSs, a newly proposed optimization algorithm named crayfish optimization algorithm (COA) is applied to solve the problem, and the results are compared with those generated from particle swarm optimization (PSO) and salp swarm algorithm (SSA). The optimization problem aims to minimize overall system costs while enhancing distribution system performance in three aspects including voltage regulation improvement, peak demand reduction, and power loss reduction. The IEEE 33- and 69-bus distribution systems connected with DGs are tested to verify the approach. The simulation results demonstrate that BESS installations can significantly improve the efficiency of the distribution systems where installing multiple BESSs proves to be more effective than a single BESS although it also increases the overall costs. It is found that in the case of multiple BESSs, %VDI, peak demand, and power loss could be improved from the base case by 43.43%, 50.00%, and 12.21%, respectively, in the IEEE 33-bus system and 42.32%, 45.74%, and 4.69%, respectively, for the IEEE 69-bus system. Furthermore, it is found that COA outperforms the compared algorithms in both systems.
Author	Wichitkrailat, Krit Khunkitti, Sirote Premrudeepreechacharn, Suttichai Siritaratiwat, Apirat
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SubjectTerms	Algorithms Batteries Battery energy storage system Battery energy storage systems (BESSs) Costs Distributed generation distributed generations Distribution networks Electric power distribution Electric power loss Electricity Energy distribution Energy storage Loss reduction Maintenance metaheuristic algorithms Metaheuristics Optimization algorithms Particle swarm optimization Peak load Sizing Storage systems System performance Voltage control
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Title	Optimal Sizing and Locations of Multiple BESSs in Distribution Systems Using Crayfish Optimization Algorithm
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