Latest revision as of 22:18, 22 March 2021

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.

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The different versions of the original document can be found in:

• http://dx.doi.org/10.3390/en11082050 under the license https://creativecommons.org/licenses/by

• https://www.mdpi.com/1996-1073/11/8/2050/pdf under the license http://creativecommons.org/licenses/by/3.0/

• http://www.mdpi.com/1996-1073/11/8/2050,

https://doaj.org/toc/1996-1073 under the license cc-by

• http://www.mdpi.com/1996-1073/11/8/2050/pdf,

http://dx.doi.org/10.3390/en11082050

• https://EconPapers.repec.org/RePEc:gam:jeners:v:11:y:2018:i:8:p:2050-:d:162407,

https://academic.microsoft.com/#/detail/2887128079 under the license https://creativecommons.org/licenses/by/4.0/