Optimization model of Low-carbon dispatch of Virtual Power Plant considering flexible load response and electricity to gas

The problem of large-scale development of renewable energy has become increasingly serious, and the technology of virtual power plants has gradually become the key technology of this problem. This paper studies the multi-objective optimization problem of gas-electric interconnected virtual power plants. First of all, this article integrates wind turbines, photovoltaic generators, gas turbines, electric gas conversion equipment, gas storage devices, etc. into a virtual power plant, and simultaneously links public networks and natural gas networks. The load side includes electric power load, hydrogen fuel cell vehicle load, and natural gas load, and the demand response is introduced at the terminal load for adjustment. Then, taking the operational economic benefits, peak-cutting and valley-filling effects, and carbon dioxide emissions as optimization goals, combined with power balance and other constraints, a multi-objective model of a gas-electric interconnected virtual power plant is constructed, and the multi-objective optimization model is converted by weighting each objective function Solve for a single objective model. Finally, in order to verify the validity and feasibility of the established model, a virtual power plant in a certain area was selected as an example to analyze and compare the operating results under four scenarios.