Intraday Rolling Optimization Method for Active Distribution Network Based on Mixed Integer PSO Algorithm

Abstract

The invention discloses an active power distribution network intraday rolling optimization method based on a mixed integer PSO algorithm, and the method comprises the steps: 1, determining an intradayrolling optimization time scale, building a gear time sequence of an intraday optimization stage, and building a gear change time period variable; 2, establishing an intraday rolling optimization mathematical model considering gear correction; and 3, outputting an optimization result through a mixed integer PSO algorithm. According to the method, the gears of the discrete regulation and control equipment can be corrected, the influence of randomness and uncertainty of distributed power generation is overcome, and therefore it is guaranteed that the active loss and regulation and control costof the power distribution network are minimized under the scene that the distributed power generation output is the worst.

Description

technical field [0001] The invention relates to the field of optimized operation of power distribution network, in particular to an intraday rolling optimization method of active distribution network based on mixed integer PSO algorithm. Background technique [0002] At present, my country is experiencing a new energy revolution, and the government is vigorously promoting new energy technologies through photovoltaic poverty alleviation projects and new energy industry subsidies. According to domestic professional institutions, the installed capacity of distributed power generation in 2030 will reach about 17% of the total installed capacity in the country during the same period. Among them, distributed photovoltaic power generation and distributed wind power generation have received a large number of practical applications due to their wide application range and mature technology. Due to the characteristics of strong randomness, large volatility and intermittent nature of d...

AI Technical Summary

Problems solved by technology

The robust optimization method considers the uncertainty of distributed generation output to ensure the safety and stability of the distribution network in the worst scenario, but the optimization results are conservative and the economy is poor

The rolling optimization method performs rolling optimization based on the output forecast of distributed power generation in a short period of time. When the prediction is accurate, the optimization effect is good, but the prediction error and uncertainty of distributed power generation are inevitable, and the optimization effect of the rolling optimization method is subject to prediction. Accuracy has a greater impact

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