Random Matching Bidding Trading Mechanism Of Microgrid In Market Model

With distributed energy resource’s technology becoming mature and costs reduced, microgrid is moving towards the development of marketization and commercialization and will be favored in the power capital markets. Under the background of China’s new energy policy promotion, electricity market reform and urbanization construction, microgrid for the user side, made up of distributed and self-interested distributed energy resource and operated by a third party electricity-selling company will gradually increase. In view of this, this paper analyses the microgrid operation in business model and innovatively put forward a random matching bidding trading mechanism in market model. Specific work is summarized below.Firstly, analysis of microgrid operation in business model is done. Economic assessment modes are introduced, which involes calculation formulas or assessment methods of each specific costs and benefits. The interests and business between microgrid and users as well as grid are analyzed in detail, the development status of which will determine the level of revenue and operational efficiency. Operation models are divided into three different kinds according to the difference in ownership and operation right. Detailed analysis of regulating mode and operating relationship under each operation model is done and the new trend of current operation development of China is pointed out.Secondly, the random matching bidding trading mechanism is introduced concretely. Basic trading principles are presented and identities of sellers and buyers are analyzed. Random matching model is established and "virtual unit" concept is applied to solve energy trading problems of supply-demand imbalance. Based on each operator’s interests and transmission line power constraints, market operating model is established and basic constraints of market parameters are analyzed. Expected trading price and volume are solved to guide bidding behavior of all market participants. Impact caused by prediction error on market operation is eliminated by prediction error compensation and energy trading processes in a trading period are analyzed and completed.Lastly, case simulation and analysis are done. Trading situation of two cases in the random matching bidding trading mechanism is simulated and the impact on trading price by supply-demand balance, bidding strategy and prediction error is explored, which points out the general rules of the market. Simulation results show that this trading mechanism has the advantage of high profit, autonomy, balance, order and stability. And some suggestions about how market participants can get high intereats in the market are given.This trading mechanism is simple and efficient, easy to implement and can achieve optimal allocation of power resources, which conforms with the trend of energy Internet construction and electricity reform.