'Source-network-load' two-stage multi-target control method and system for power distribution network

Abstract

The invention discloses a 'source-network-load 'two-stage multi-target control method and system for a power distribution network, and aims to provide a control method and system capable of realizingthe stability of safe operation of a power distribution system. The method comprises the following steps: establishing a two-stage multi-objective mathematical optimization model; establishing a first-stage centralized optimization control objective function and a second-stage distributed optimization control objective function; solving a first-stage centralized optimization control objective function of the current day by adopting a multi-objective harmony search algorithm; setting weight preferences to obtain a network structure of the power distribution network and the total number of partition feeders; adopting a harmony search algorithm to solve a second-stage distributed optimization control objective function of the partition feeder line; if the current time point is equal to 24 hours, generating distributed power supply and flexible load power sequence data of the 24 time points; and if the current date is equal to the preset value, ending the whole calculation process. According to the method, the frequency of global information transmission processing is reduced, and the security is improved.

Description

technical field [0001] The invention relates to the technical field of distribution network, and more specifically, relates to a two-stage multi-objective control method and system of "source-network-load" distribution network. Background technique [0002] With the development of technology and the improvement of energy cleanliness and interaction, the distribution network has gradually developed into a complex system with high penetration distributed power supply, flexible load, and intelligent soft switch. The main changes include: [0003] (1) On the power supply side, with the massive access of distributed power sources such as wind power and photovoltaics, the traditional distribution network has become an active network, and the connected power supply presents the characteristics of dispersion, multiple points, wide area, and small capacity; [0004] (2) On the grid side, the introduction of intelligent soft switches, distribution automation terminals and other equipm...

AI Technical Summary

Problems solved by technology

However, due to the failure to consider the time scale difference of control means during the joint optimization process of distribution network reconfiguration and distributed power output, and the excessive number of optimization variables in the solution process after joint optimization, the solution consumes The time is too long, and the dimension of the optimization variable is too high, resulting in the optimization algorithm not converging or entering the local optimum prematurely, so that the real optimal solution cannot be obtained; at the same time, this time difference method that does not consider control variables also It will cause the distribution network to be under global control at any time, and the requirements for the transmission frequency and quality of information are too high, and it is easy to cause damage to the frequent actions of switches in the distribution line

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