An Optimum Bidding Strategy of CVPP by Interval Optimization

作者：Hu, Jiakai; Liu, Yangyang; Jiang, Chuanwen^*

来源：IEEJ Transactions on Electrical and Electronic Engineering, 2018, 13(11): 1568-1577.

DOI：10.1002/tee.22721

• CVPP
• medium-term portfolio
• interval optimization

Virtual power plant (VPP) aggregates distributed energy resources (DER) as a single profile to overcome scale disadvantage and dispersed characteristics. A commercial virtual power plant (CVPP) especially operates to improve the power-market involvement. In this article, the CVPP medium-term bidding strategy is optimized to obtain the profit interval mostly preferred by the CVPP's decision maker. Because the medium-term forecast of renewable power generation and day ahead (DA) market price is far more difficult than short term, interval optimization is proposed, which does not require uncertain variable-distribution assumption. The pessimism degree is introduced to quantify the decision maker's risk acceptance and compare intervals so as to solve the interval-optimization model. Within the interval-optimization framework, the bidding strategy between the bilateral contract (BC) and the DA market is figured out. A combined DA market deal and gas turbine generator strategy is proposed to cope with power shortage. Finally, an in-depth sensitivity analysis is applied, and the characteristics and caution of interval optimization are deduced.

• 出版日期2018-11
• 单位上海交通大学