Wind farm energy storage capacity optimization method in consideration of optimal desired output and charge state

Abstract

The invention discloses a wind farm energy storage capacity optimization method in consideration of optimal desired output and charge state. The method comprises the steps as follows: firstly, a computing method of an optimal desired output is proposed and utilizes a function with minimum square deviation of offset of a grid-connected power target value as an objective function, setting subjectivity of a stabilizing fluctuation output power target value is eliminated, and the computing method serves as the premise of energy storage capacity optimization; secondly, an energy storage SOC (state of charge) parameter is introduced, charge-discharge power is timely adjusted on the basis of the fuzzy control theory, SOC and charge-discharge states, an energy storage charge-discharge strategy is built, and excessive charge and discharge are effectively restrained; and finally, an optimal model is built with minimum sum of the penalty cost associated with the SOC and the operation cost, so that the energy storage capacity optimization integrating a schedule decision-making requirements, energy storage operating service life and economic efficiency is achieved, and related optimizing problems are solved with improved PSO (particle swarm optimization). The solution algorithm provided by the method is fast, efficient, and strong in convergence capacity.

Description

technical field [0001] The invention relates to a wind farm energy storage capacity optimization method considering the best expected output and state of charge. Background technique [0002] Facing the continuous growth of renewable energy scale, the uncertainty of its output has become an important issue facing the current power grid. Energy storage is an effective way to stabilize the output power fluctuation of wind farms, which can effectively improve the controllability and utilization efficiency of renewable capacity. However, the energy storage system of wind farms faces conflicts between configuration and operation costs and stabilization effects. For this reason, it will be an important problem to be solved urgently for the energy storage allocation of wind farms to coordinate the use of limited energy storage resources, optimize the allocation of energy storage capacity, and at the same time ensure the effectiveness and economy of energy storage to stabilize power...

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Problems solved by technology

[0004] The above research plays an important role in improving the research level of energy storage allocation in wind farms, but there are still the following problems in the optimization calculation of energy storage capacity: 1) The selection of grid-connected power target value in the process of energy storage capacity optimization , or determine the target value as a timed window constant output [4-5] , or pursue a stable output with a longer time window [6-7]

The division of the time window is subjectively set in accordance with the optimization goals established by itself, which cannot achieve the optimal match between the grid-connected power target value and the original wind power output, and the wind power utilization rate is not the highest

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