Research On Multi-time Scale Optimal Scheduling Adapted To Electricity Market Environment

Under the background of energy transformation, deepening of electricity system reform is an inevitable trend for the further development of China’s electric power industry. In order to establish a relatively independent electric power trading center and form a standardized spot market trading platform, a new scheduling operation institution is required for the new power grid operation mechanism. For the further introduction of competition to the demand side, trading options among power purchasers are broadened in most countries according to the order from large users to normal users, power purchasers conduct power transactions in electricity wholesale market directly. Electricity wholesale market is mainly composed of long term market and spot market, power purchasers conduct bilateral transactions, interruptible load, voltage regulation and other forms of ancillary service transactions over many years, years, seasons, months, weeks and other time scales in the long term market. Day-ahead, intraday, real-time electric energy trading and ancillary services trading such as reserves and frequency modulation are mainly conducted in spot market; electricity spot market is a multi-level market, it can be divided into day-ahead market, intraday market and real-time market according to different transaction cycles.Electric transaction results must be realized through the control of the output of each unit, penetration of power system scheduling and control throughout electricity market at all levels is the essence of the research of optimal scheduling scheme under electricity market environment. In that way, electricity transactions, bilateral deals, auxiliary services and other transaction patterns can be realized. In order to promote the marketization of electric power industry, optimal scheduling under electricity market environment urgently needs to deal with the following topics such as the growing bilateral transactions and accommodation of large scale intermittent new energy sources. In this paper, extreme scenario method under bilateral transaction mode is adopted to deal with the deviation of wind power prediction, unit commitment model adapting to the day-ahead market is established with the minimum power purchase cost as the objective function; In order to fix the output deviation in day-ahead unit commitment, rolling scheduling model with time scale for 4h is established adapting to intraday market, and real-time scheduling model adapting to real-time market is established. Coordination patterns to deal with coordination problems of economic scheduling at different time scales are built based on the principle of “multilevel coordination and gradual refinement”, on the other hand, the impact of power prediction deviation on power grid could be reduced step by step to ensure generation scheduling plan conforming to security, energy conservation, economy and other multi-goals, on the basis of meeting the security constraints of power grid, the coordination and utilization of different types of units are realized.