Robust economic dispatch of active distribution networks with distributed energy storage systems

Abstract

Abstract: To address the impacts of uncertainty of wind outputs on the power system operation, this paper proposes a robust optimization economic dispatch method in the active distribution network. The model is built on a worst-best theory that integrates Latin hyper cube sampling method for generating wind output scene set to represent uncertainty of wind outputs. The aims of the model is to minimize the operation costs for distributed energy storage and micro turbine, and purchase costs from the upper grid. The particle swarm optimization algorithm based on random mutation is used to solve the model, and the optimized results with the least operating cost in extreme scenarios can be obtained. The proposed approach is implemented on a 33-bus distribution system. Our results demonstrate that optimized dispatch can satisfy all of the constraints within forecast error of wind outputs. The comparison of the determined economic dispatch method demonstrate that the proposed method is more robust.

Key words: active distribution network, economic dispatch, robust optimization, distributed energy storage systems

CLC Number:

LU Yu-jiao, YOU Qing-shan, LIN Lin-xin-yan, LI Bo. Robust economic dispatch of active distribution networks with distributed energy storage systems[J]. Journal of Lanzhou University of Technology, 2020, 46(6): 112-118.

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