Multi-energy capacity optimal configuration method of wind, light, water and fire storage system

Abstract

The invention relates to a multi-energy capacity optimal configuration method for a wind-solar-water-fire storage system, and the method comprises the steps: taking the minimum cost, the minimum load power shortage rate and the maximum total wind-solar power generation as targets, and building three corresponding sub-targets respectively; respectively carrying out min-max normalization processing on the three sub-targets, and then carrying out linear weighted summation to obtain a single target function; based on the multi-energy complementary characteristics, a preset operation strategy, a preset constraint condition and a single objective function, constructing a multi-energy capacity optimal configuration model; and on the premise that the total hydroelectric capacity is fixed, searching and solving the optimal number of fans, the optimal number of photovoltaic arrays, the optimal number of thermal power generating units and the optimal number of energy storage batteries through a genetic algorithm to be used for calculating the minimum value and the maximum value of each sub-target. According to the method, more types of power supplies are involved, more targets are comprehensively considered, the analysis and calculation of the maximum value and the minimum value of each sub-target are simplified by utilizing the genetic algorithm, and the calculation efficiency of the whole optimal configuration process is improved.

Description

technical field [0001] The invention relates to the field of power system planning, in particular to a multi-energy capacity optimization configuration method of a wind-solar-water-fired storage system. Background technique [0002] With the continuous consumption of fossil fuels and the aggravation of environmental pollution, renewable energy sources such as wind energy and solar energy have gradually attracted people's attention. However, the randomness and intermittency of wind and solar energy make their power generation highly volatile and uncertain. The large-scale integration of wind power and photovoltaics into the grid will bring problems that cannot be ignored for the security, stability, and operation scheduling of the grid. with challenges. [0003] In this context, use the natural complementary characteristics of different renewable energy sources and conventional energy sources to rationally optimize the capacity of each energy source, while ensuring the scale...

AI Technical Summary

Problems solved by technology

However, most studies have not clearly given the maximum and minimum values ​​of each sub-objective in the normalization process, or used the optimal solution obtained in the optimization process of each individual sub-objective as the normalization process. The maximum value and minimum value of each sub-objective in the normalization process, or select the maximum value and minimum value of each sub-objective in the normalization process based on inaccurate experience

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