Energy storage system-distributed power supply-capacitor integrated control reactive power optimization method

Abstract

The invention discloses an energy storage system-distributed power supply-capacitor integrated control reactive power optimization method. Establishing an objective function, performing constant volume and location calculation according to a preset algorithm; obtaining a candidate solution of a preset function, optimizing the first optimal solution, mining a second optimal solution, determining atarget ideal point of the current optimization problem and an Euclidean distance square from each second optimal solution to the ideal point according to an optimal Pareto leading edge obtained by a multi-strategy fusion particle swarm optimization algorithm, and obtaining a decision compromise solution. According to the invention, multiple elements are combined to optimize the power quality, theabsorption capability of the power distribution network for the distributed power supply is improved, the reactive power distribution and voltage level of the system are improved, and the network lossis reduced; according to the method, a multi-strategy fusion particle swarm optimization algorithm is introduced to execute thorough search on individuals falling into local optimum, the global search capability and the local search capability are high, the local particle jumping-out capability is high, and the probability that the population falls into premature convergence is greatly reduced.

Description

technical field [0001] The invention belongs to the technical field of power grid optimization, and in particular relates to an energy storage system-distributed power supply-capacitor comprehensive control reactive power optimization method. Background technique [0002] In recent years, my country's distributed power generation has developed rapidly, and many provinces have formed a development trend of "multiple points, wide area, local high-density grid connection". The distributed power generation with high penetration rate has changed the power flow and voltage distribution of the medium and low voltage distribution network, and some distribution station areas have experienced power reverse transmission, excessive voltage or increased network loss. Most of the traditional distribution network planning and scheduling are configured for the system under ideal conditions, without considering the uncertainty of distributed power output and load. When selecting the locatio...

AI Technical Summary

Problems solved by technology

When selecting the location and capacity of distributed power, if the optimal output of distributed energy obtained from optimization is used as the installation capacity, there is only a small probability, or even the expected optimization goal cannot be achieved.

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