Research on Two-stage Game Strategy of Virtual Power Plant in Deep Peak Regulation Auxiliary Service Market

There is a large number of combined heat and power units in northern China, due to the limit heating demand, operating mode setting electricity by has seriously took over consumption space other energy, resulting severe wind curtailment rationing situation some areas, so this paper studies deep peak regulation bidding strategy problem considering multiple uncertainties on virtual plants, established two-staged optimization model plant maximize net revenue, then introduced Shapely value method with correction coefficient redistribute revenue. The simulation results showed that two-stage can not only improve market competitiveness plant, but also promote renewable energy reduce service cost. Meanwhile, improved apportion effectively guarantee enthusiasm all kinds participate market.