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Distributionally Robust Optimal Dispatch of Virtual Power Plant Based on Moment of Renewable Energy Resource

Wenlu Ji, Yong Wang*, Xing Deng, Ming Zhang, Ting Ye

Nanjing Power Supply Company of State Grid Jiangsu Electric Power Co., Ltd., Nanjing, 210019, China

* Corresponding Author: Yong Wang. Email: email

Energy Engineering 2022, 119(5), 1967-1983. https://doi.org/10.32604/ee.2022.020011

Abstract

Virtual power plants can effectively integrate different types of distributed energy resources, which have become a new operation mode with substantial advantages such as high flexibility, adaptability, and economy. This paper proposes a distributionally robust optimal dispatch approach for virtual power plants to determine an optimal day-ahead dispatch under uncertainties of renewable energy sources. The proposed distributionally robust approach characterizes probability distributions of renewable power output by moments. In this regard, the faults of stochastic optimization and traditional robust optimization can be overcome. Firstly, a second-order cone-based ambiguity set that incorporates the first and second moments of renewable power output is constructed, and a day-ahead two-stage distributionally robust optimization model is proposed for virtual power plants participating in day-ahead electricity markets. Then, an effective solution method based on the affine policy and second-order cone duality theory is employed to reformulate the proposed model into a deterministic mixed-integer second-order cone programming problem, which improves the computational efficiency of the model. Finally, the numerical results demonstrate that the proposed method achieves a better balance between robustness and economy. They also validate that the dispatch strategy of virtual power plants can be adjusted to reduce costs according to the moment information of renewable power output.

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APA Style
Ji, W., Wang, Y., Deng, X., Zhang, M., Ye, T. (2022). Distributionally robust optimal dispatch of virtual power plant based on moment of renewable energy resource. Energy Engineering, 119(5), 1967-1983. https://doi.org/10.32604/ee.2022.020011
Vancouver Style
Ji W, Wang Y, Deng X, Zhang M, Ye T. Distributionally robust optimal dispatch of virtual power plant based on moment of renewable energy resource. Energ Eng. 2022;119(5):1967-1983 https://doi.org/10.32604/ee.2022.020011
IEEE Style
W. Ji, Y. Wang, X. Deng, M. Zhang, and T. Ye "Distributionally Robust Optimal Dispatch of Virtual Power Plant Based on Moment of Renewable Energy Resource," Energ. Eng., vol. 119, no. 5, pp. 1967-1983. 2022. https://doi.org/10.32604/ee.2022.020011



cc This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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