Robust Optimization Model for Photovoltaic Power Producer's Bidding Decision-Making in Electricity Market. (30th May 2020)

• Record Type: Journal Article
• Authors: Liu, Lifeng; Gao, Huisheng; Wang, Yuwei; Sun, Wei
• Other Names: Zizzo Gaetano Academic Editor.
• Is Part Of: Mathematical problems in engineering. Volume 2020(2020)
• Publication Date: 2020-05-30
• Subjects: Engineering mathematics -- Periodicals; 510.2462
• DOI: 10.1155/2020/6109648
• Languages: English
• ISSNs: 1024-123X

Abstract

Abstract : With the deepening of electricity market (EM) reform and the high penetration of photovoltaic (PV) energy in power system, the uncertainties of a PV power output and fluctuation of EM prices would bring substantial financial risks for PV power producers (PPPs). This paper proposed a robust optimization model for PPP's power bidding decision-making. Specifically, the random PV power outputs are modeled by the uncertainty set, which need no probabilistic information and can fully depict the continuous range of uncertainties. Subsequently, with respect to any scenario for day-ahead EM prices, PPP's optimal power bidding strategy is obtained under the worst-case realization within the uncertainty set, which guarantees the robustness in resisting the negative impact of random PV power outputs on PPP's profit. Moreover, a reformulation approach was introduced for equivalently transforming our model into a tractable framework. Simulation was implemented to validate the feasibility and effectiveness of applying our proposed model.