Cost-based analysis and optimization of distributed generations and shunt capacitors incorporated into distribution systems with nonlinear demand modeling

作者：

Highlights：

• Six nonlinear demands of distribution systems are modeled and solved.

• The DG and SC banks allocation is solved using the jellyfish search algorithm (JSA).

• The adopted JSA minimized the total operating cost, costs of energy loss, and devices.

• Both single- and multi-objective functions are solved using the adopted JSA.

摘要

•Six nonlinear demands of distribution systems are modeled and solved.•The DG and SC banks allocation is solved using the jellyfish search algorithm (JSA).•The adopted JSA minimized the total operating cost, costs of energy loss, and devices.•Both single- and multi-objective functions are solved using the adopted JSA.

论文关键词：Cost of energy loss,Power loss reduction,Jellyfish search algorithm,Multi-objective optimization,Total operating cost

论文评审过程：Received 22 May 2021, Revised 9 December 2021, Accepted 4 March 2022, Available online 11 March 2022, Version of Record 15 March 2022.

论文官网地址：https://doi.org/10.1016/j.eswa.2022.116844