Active distribution network distributed type reactive power optimization method based on auxiliary problem principle

Abstract

The invention discloses an active distribution network distributed type reactive power optimization method based on an auxiliary problem principle. The active distribution network distributed type reactive power optimization method comprises the steps of 10), performing initialization: initializing parameters of a partition reactive power optimization model; 20), solving the partition reactive power optimization model; 30), performing boundary variable interaction; and 40), performing convergence determination: determining whether the convergence deviations of all boundary variables are less than a convergence deviation threshold value or not; if so, stopping iteration, and proving that the system achieves a convergence state, enabling each partition to optimize the result for the last time according to the step 20), issuing a reactive power dispatching instruction, and stopping the optimization process; and or otherwise, adding 1 to the number of iteration, and determining whether the maximum number of iteration is achieved or not; if the maximum number of iteration is achieved, outputting non-convergence, and finishing the optimization process, or if the maximum number of iteration is not achieved, returning to perform the step 20). By adoption of the active distribution network distributed type reactive power optimization method, the distributed optimization of the global active power loss can be realized; the global voltage quality can satisfy user requirements; and the reliability of the active distribution network reactive power optimization control is improved.

Description

technical field [0001] The invention belongs to the field of distribution network operation control, and specifically relates to a distributed reactive power optimization method for an active distribution network based on the principle of auxiliary problems. Background technique [0002] With the gradual depletion of fossil energy and the development of low-carbon economy, renewable energy power generation technologies based on wind energy and solar energy have been greatly researched and applied. As of 2015, the cumulative installed capacity of photovoltaic power generation in my country was 43.18 million kilowatts, of which the installed capacity of distributed photovoltaics was 6.06 million kilowatts. As the cost of photovoltaic power generation decreases, the penetration rate of distributed photovoltaics in the distribution network will further increase, which will gradually increase the controllability of the traditional distribution network, but it will also bring chal...

AI Technical Summary

Problems solved by technology

However, the traditional reactive power optimization control of distribution network is mostly based on the centralized optimization control mode. Although global optimization can be achieved, the reactive power centralized controller needs to handle a large amount of data communication, which requires high reliability of communication.

Moreover, the large-scale access of distributed power at the distribution side and the development of energy storage, electric vehicles, and flexible loads will greatly increase the difficulty of optimal scheduling by centralized controllers.

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