With the “dual carbon” goals as the guidance, transformation of China’s energy system toward low-carbon development has become an irreversible trend. Large-scale grid connection of renewable energy like wind and solar power, and mutual supplementation among different energy types, are producing great changes to energy supply modes, and also accelerating power system’s shift to a sustainable, low-pollution operation pattern. The Virtual Power Plant (VPP) applies advanced information and communication technology to integrate dispersed energy resources with user-side flexible electricity loads into a unified manageable group. Through participation in joint optimization of the entire power system, it enhances resource utilization efficiency and improves operation flexibility, hence becoming an important technical approach to promote renewable energy absorption. Under this circumstance, accurate description of adjustable electricity load operation characteristics, effective management of various resource types, and scientific measurement of their adjustment capability have become key prerequisites to ensure VPP real-time management matches its operation status. To satisfy these demands, this study constructs an optimization model aiming to minimize VPP’s participation cost in both energy market and peak shaving service market. By real-time inspection of VPP operation parameters to determine its maximum adjustment capability, we finally form a low-cost and efficient scheduling method, which provides theoretical support for improving VPP operation economy and its power system support capability in multi-market environment.
Gao et al. (Thu,) studied this question.