Overall planning optimization algorithm for monthly electricity market and day-ahead market

Abstract

The invention discloses an overall planning optimization algorithm for a monthly power market and a day-ahead market, and the algorithm comprises the steps: carrying out the risk analysis of the uncertainty of load prediction, introducing the risk cost into an economic optimal optimization function, carrying out the linear transformation of a nonlinear constraint condition, and achieving the optimization solution. The algorithm is used for overall planning and arranging electricity purchasing strategies of the monthly electricity market and the day-ahead market, the solving efficiency is improved, in the monthly electricity market, the electricity price is the electricity price of bilateral transaction, in the day-ahead market, the electricity price is changed per hour, the price is determined by the market clearing price of each transaction time period, and the price of each transaction time period is determined by the market clearing price. If the electricity purchasing quantity of the day-ahead market and the monthly electricity market exceeds the actual electricity quantity, the unexecuted electricity contract is punished. According to the overall planning optimization algorithm, the problems of large prediction error and unbalanced supply and demand of the two markets are solved through calculation, the transaction strategy of overall arrangement of the monthly electricitymarket and the day-ahead market is realized, and reference is provided for organizers of the electricity market.

Description

technical field [0001] The invention relates to an algorithm, in particular to an overall planning and optimization algorithm for the monthly power market and the day-ahead market. Background technique [0002] 2015 marks the beginning of a new round of power system reform. Establishing and improving the electricity market is one of the important tasks of this reform. At present, my country's medium and long-term electricity market has basically been established, but the spot market is still in the exploratory stage. As the organizer of the current electricity market, the power grid company needs to coordinate the electricity market on different time scales and reasonably arrange electricity purchases in order to ensure the balance between electricity supply and demand. [0003] The trading time of the monthly power market is carried out in the previous month, and the market procurement plan for the day-ahead market should be formulated one day in advance. Therefore, the ...

AI Technical Summary

Problems solved by technology

[0005] The purpose of the present invention is to provide an overall planning optimization algorithm for the monthly power market and the day-ahead market, to solve the existing problems of large forecast errors, unbalanced supply and demand, and high power purchase costs

Images