Nested Bi-level scheduling strategy for energy storage systems in hybrid microgrid considering uncertainties of battery dynamic performances

IF 5 2区工程技术 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC

International Journal of Electrical Power & Energy Systems Pub Date : 2025-03-01 DOI:10.1016/j.ijepes.2025.110575

Jiazhi Lei , Zhao Liu

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引用次数: 0

Abstract

This paper proposed a nested bi-Level scheduling strategy for energy storage systems in hybrid microgrid considering uncertainties of battery dynamic performances. Firstly, the uncertainties in dynamic performances caused by fitting error including efficiencies, self-discharge rate, cycle life and capacity fading were modeled by interval method and probability distribution method. Simultaneously, the significant influences of battery dynamic performances on power outputs of battery were specially quantized by direct physical influence, direct electric quantity influence and indirect state influence. Then, a nested bi-level optimization model was developed for specifying the scheduling strategy of energy storage systems. Inner layer optimization was applied for realizing the operation strategy optimization of battery ESSs and outer layer optimization was applied for realizing the battery performance optimization. Case studies based on multi-scene generation mode verified the effectiveness of the proposed nested bi-level scheduling strategy. With the increase of battery dynamic performances uncertainties, more economic benefits are brought by energy storage battery, but the battery dynamic performances continuously decline. Compared with single layer optimization, nested bi-level optimization scheduling model slightly reduced the total benefits, but the battery dynamic performances f₁ is significantly improved by about 20%.

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来源期刊

International Journal of Electrical Power & Energy Systems 工程技术-工程：电子与电气

CiteScore

12.10

自引率

17.30%

发文量

1022

审稿时长

51 days

期刊介绍： The journal covers theoretical developments in electrical power and energy systems and their applications. The coverage embraces: generation and network planning; reliability; long and short term operation; expert systems; neural networks; object oriented systems; system control centres; database and information systems; stock and parameter estimation; system security and adequacy; network theory, modelling and computation; small and large system dynamics; dynamic model identification; on-line control including load and switching control; protection; distribution systems; energy economics; impact of non-conventional systems; and man-machine interfaces. As well as original research papers, the journal publishes short contributions, book reviews and conference reports. All papers are peer-reviewed by at least two referees.