Optimal Sizing of Renewables and Energy Storage System in Microgrids: The Quest for Economic Uncertainty Management

Xie，Peng; Jia，Youwei; Wang，Han; Shi，Mengge

10.1109/ICoPESA54515.2022.9754478

2022

978-1-6654-1098-4

2022 International Conference on Power Energy Systems and Applications, ICoPESA 2022

416-423

25-27 Feb. 2022

Singapore, Singapore

This paper proposes an explicit approach to optimal sizing of the integrated renewables and energy storage system in islanded microgrids, where the economic impacts of uncertainty (concerning stochastic nature and forecasted error uncertainty of the system) management are completely investigated. To quantify the uncertainty degrees at different time scales, two types of indices (i.e. electricity supply excess state probability index and electricity supply deficit state probability index) are proposed from the perspectives of system planning and operation. Moreover, the concerned problem is formulated as a bilevel mixed-inter nonlinear programming model to counterbalance the uncertainty and its induced cost at both planning and operation stages. Numerical simulations exhibit the merits of the proposed model and algorithm by analyzing the impact of various factors on sizing results.

capacity planning microgrid renewable energy uncertainty

第一

英语

EI

20221812068923

Electric energy storage ; Nonlinear programming ; Smart power grids

Electric Power Systems:706.1 ; Control Systems:731.1 ; Systems Science:961

2-s2.0-85129254017

Scopus

Southern University of Science and Technology,Dept of Electrical and Electronic Engineering,Shenzhen,China

Xie，Peng,Jia，Youwei,Wang，Han,et al. Optimal Sizing of Renewables and Energy Storage System in Microgrids: The Quest for Economic Uncertainty Management[C],2022:416-423.