8th International Conference on Advanced Power System Automation and Protection (APAP2019)

To exploit the potential of flexibility from demands and distributed energy resources, this paper proposes an optimal bidding and operation strategy for a virtual power plant (VPP) with a coupled electricity-heat supply system including thermoelectric coupling equipment. The objective is to minimize the VPP’s operation cost while balancing the heat and power demand. A scenario-based risk-constrained day-ahead stochastic optimization model is proposed, which considers the renewable power output uncertainty and the risk of operation cost. Furthermore, the real-time optimal operation of the VPP is also considered in the proposed model. Effectiveness of the proposed strategy is demonstrated by simulation results.

Conditional value-at-risk,coupled electricity-heat supply,electricity market,virtual power plant