Adjustable Robust Optimization Algorithm for Residential Microgrid Multi-Dispatch Strategy with Consideration of Wind Power and Electric Vehicles

Ruifeng Shi, Shaopeng Li, Changhao Sun and Kwang Y. Lee
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Ruifeng Shi: School of Control & Computer Engineering, North China Electric Power University, Beijing 102206, China
Shaopeng Li: School of Control & Computer Engineering, North China Electric Power University, Beijing 102206, China
Changhao Sun: Smart Energy Institute, Nanjing SAC Power Grid Automation Co., Ltd., Nanjing 211100, China
Kwang Y. Lee: Department of Electrical and Computer Engineering, Baylor University, Waco, TX 76798, USA

Energies, 2018, vol. 11, issue 8, 1-22

Abstract: A prospect of increasing penetration of uncoordinated electric vehicles (EVs) together with intermittent renewable energy generation in microgrid systems has motivated us to explore an effective strategy for safe and economic operation of such distributed generation systems. This paper presents a robust economic dispatch strategy for grid-connected microgrids. Uncertainty from wind power and EV charging loads is modeled as an uncertain set of interval predictions. Considering the worst case scenario, the proposed strategy can help to regulate the EV charging behaviors, and distributed generation in order to reduce operation cost under practical constraints. To address the issue of over-conservatism of robust optimization, a dispatch interval coefficient is introduced to adjust the level of robustness with probabilistic bounds on constraints, which gradually improves the system's economic efficiency. In addition, in order to facilitate the decision-making strategies from an economic perspective, this paper explores the relationship between the volatility of uncertain parameters and the economy based on the theory of interval forecast. Numerical case studies demonstrate the feasibility and robustness of the proposed dispatch strategy.

Keywords: microgrids; adjustable robust optimization; multi-dispatch; grouping dispatch; electric vehicles; wind power; economic analysis (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (6)

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