Optimal sizing of renewables and battery systems for hybrid AC/DC microgrids based on variability management

Xie，Peng1; Jia，Youwei1; Lyu，Cheng2; Wang，Han1; Shi，Mengge1; Chen，Hongkun3

2022-09-01

10.1016/j.apenergy.2022.119250

APPLIED ENERGY   影响因子和分区

0306-2619

1872-9118

This paper proposes an explicit approach to optimal sizing of the integrated battery energy storage systems in hybrid renewable AC/DC islanded microgrids, where the economic impacts of variability management (in concerning operational volatility and uncertainty) are comprehensively investigated. To quantitatively measure the variability levels at different time scales, two indices (i.e. volatility management index and uncertainty management index) are firstly proposed from the perspectives of system planning and operation. Moreover, the probability boundaries of both indices are derived to facilitate the initial system design processes. In particular, the concerned problem is formulated as a bi-level mixed-integer nonlinear programming model to counterbalance the variability and its induced cost at both planning and operation stages. Finally, an original decomposition-coordination algorithm based on the dual decomposition and alternate iterative strategies is proposed to ensure the efficient convergence of the solution process for the constructed mathematical model. Numerical simulations are carried out by analyzing the impacts of various factors associated with optimal sizing solutions and comparing with state-of-the-art approaches. Results show that the proposed sizing technique can facilitate designers finding the optimal capacity combination of renewables and batteries under preset renewables penetration, capital cost, and system variability levels.

Hybrid AC/DC microgrid System variability Optimal sizing Mixed-integer nonlinear programming Decomposition-coordination algorithm

SCI ; EI

英语

第一 ; 通讯

National Natural Science Foundation of China[72071100] ; Guangdong Basic and Applied Basic Research Fund["2019A1515110901","2019A1515111173"] ; Shenzhen Basic Research Program[JCYJ20210324104410030] ; Young Elite Scientist Sponsorship Program by CSEE[CSEE-YESS-2020027]

Energy & Fuels ; Engineering

Energy & Fuels ; Engineering, Chemical

WOS:000833523000006

ELSEVIER SCI LTD

20222312195417

Battery storage ; Electric batteries ; Integer programming ; Nonlinear programming

Energy Storage:525.7 ; Electric Batteries:702.1 ; Secondary Batteries:702.1.2 ; Optimization Techniques:921.5 ; Numerical Methods:921.6

ENGINEERING

2-s2.0-85131657451

Web of Science

1.Department of Electrical and Electronic Engineering,Southern University of Science and Technology,Shenzhen,China
2.Department of Electrical Engineering,The Hong Kong Polytechnic University,Hong Kong
3.School of Electrical Engineering and Automation,Wuhan University,Wuhan,China

Xie，Peng,Jia，Youwei,Lyu，Cheng,et al. Optimal sizing of renewables and battery systems for hybrid AC/DC microgrids based on variability management[J]. APPLIED ENERGY,2022,321.

Xie，Peng,Jia，Youwei,Lyu，Cheng,Wang，Han,Shi，Mengge,&Chen，Hongkun.(2022).Optimal sizing of renewables and battery systems for hybrid AC/DC microgrids based on variability management.APPLIED ENERGY,321.

Xie，Peng,et al."Optimal sizing of renewables and battery systems for hybrid AC/DC microgrids based on variability management".APPLIED ENERGY 321(2022).