Allocation and sizing of battery energy storage system for primary frequency control based on bio-inspired methods: A case study

被引：13

作者：

Yuan, Zhi ^{[1
]}

Wang, Weiqing ^{[1
]}

Wang, Haiyun ^{[1
]}

Yildizbasi, Abdullah ^{[2
]}

机构：

[1] Xinjiang Univ, Engn Res Ctr Renewable Energy Power Generat & Gri, Minist Educ, Urumqi 830047, Xinjiang, Peoples R China

[2] Ankara Yildirim Beyazit Univ AYBU, Dept Ind Engn, TR-06010 Ankara, Turkey

来源：

INTERNATIONAL JOURNAL OF HYDROGEN ENERGY | 2020年 / 45卷 / 38期

关键词：

Battery energy storage system; Primary frequency control renewable energy; Optimal allocation; Optimal sizing; Developed harris hawks optimization; OPTIMIZATION ALGORITHM; FEATURE-SELECTION; FORECAST ENGINE; PREDICTION; VARIABLES; RESERVE; HEAT; AREA;

D O I：

10.1016/j.ijhydene.2020.05.013

中图分类号：

O64 [物理化学（理论化学）、化学物理学];

学科分类号：

070304 ; 081704 ;

摘要：

This paper presents a new procedure for optimal allocation and optimal sizing of a battery energy storage system (BESS) for primary frequency support in an isolated power system. For the BESS allocation, a transmission bus system with larger frequency decline is recognized and the BESS sizing is performed by a constrained optimization strategy based on a new modified metaheuristic, called Developed Harris Hawks Optimization (DHHO). The simulation results of the suggested DHHO are compared with Bat Optimization Algorithm (BOA) and Genetic Algorithm (GA) from the literature to show the method efficiency. The final results showed higher precision with lower required iterations for the suggested DHHO method. Also, the proposed DHHO gives lower investment costs for BESS with lower power and energy requirement toward the other compared methods. (C) 2020 Hydrogen Energy Publications LLC. Published by Elsevier Ltd. All rights reserved.

引用

页码：19455 / 19464

页数：10