Virtual Power Plant Alliance Risk Mitigation Model and Bidding Optimization Strategy Considering the Uncertainty of Renewable Energy
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Submission ID:168 View Protection:ATTENDEE
Updated Time:2021-12-06 16:17:21
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Oral Presentation
Start Time:2021-12-16 10:00 (Asia/Shanghai)
Duration:15min
Session:[A] Renewable energy system » [A3] Session 13
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Abstract
The strong uncertainties of renewable energy restrict the market competitiveness, and the price signal is inefficient. However, the rapid increase in the number of distributed renewable energy (DRE), energy storage system (ESS) and interruptible loads has made the distribution network flexible and initiative. Therefore, this paper proposes a virtual power plant (VPP) aggregation model considering the complementation of distributed resources. A bidding strategy optimization model for VPP alliance to participate in two-stage electricity market and an economic profits sharing mechanism based on the Shapley value are constructed. The simulation results show that the proposed method can greatly mitigation the risk carried by high penetration of renewable energy and significantly improve the economic profits of VPP.
Keywords
distributed renewable energy; virtual power plant alliance; electricity market; Shapley value; distribution network.
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