Study On Commercial VPP Modeling And Its Market Trading Strategy

Considering that fossil energy is dwindling and climate problems is becoming more and more serious, State Grid Corporation of China has proposed the "Global Energy Interconnection" development strategy, to promote the implementation of clean and alternative energy and develop wind power, solar power and other new energy technologies. With the accelerated electrification, power energy is playing an increasingly important role in energy supply and consumption in the terminal, and distributed generation which mainly uses new energy will become an important source of the future power grid. High cost and random issues of distribution generation make power distribution network more complex and more flexible. Virtual power plant technology can effectively integrate a variety of new energy resources and demand responses, play an dual role in the security and stability of power grid and electricity market, and unified schedule and coordinated optimize their operation.The paper studies multiple virtual power plants cooperation and market behavior, aiming at unified management of multiple virtual power plants (multi-VPP) and analyzing their behaviors in the electricity market. Considering the different characteristics of distributed resources, the introduction of micro gas turbine as the representative of a controlled unit and with small wind turbines as a representative of intermittent power supply has realized consumptive control of distributed generation, combined with the characteristics and advantages of virtual power plant. Basing that VPP can actively participate in electricity market and cooperate with other virtual power plants through the grid, the joint scheduling models of a single VPP and a number of VPPs with distribution network have been established, in order to meet their economic targets.A scheduling-distribution cycle can be divided into scheduling day and execution day and distribution day. The uncertainty of market price and intermittent power generation can be dealt with by multi-scenarios method in the scheduling day. The goal of the joint bidding is to maximize the sum of bidding earnings in day-ahead market and the rewards and punishments in balance market. The alliance must bear certain rewards and punishments as the deviation between actual output and forecast expectations of intermittent power generation in the execution day. VPP can be divided into controllable VPP and the one with intermittent generation. To study whether multiple VPPs joint scheduling is beneficial or not to individuality, a way of earnings and rewards and punishments distribution based on their different characteristics is raised. Hence the paper puts forward an evaluation method based on rewards and punishments distribution expectation and verifies the feasibility and rationality of proposed distribution and evaluation method with different actual examples of VPP combination.