Power distribution network distributive power supply optimal access capacity determining method based on cone optimization

Abstract

The invention relates to a power distribution network distributive power supply optimal access capacity determining method based on cone optimization. The method comprises the steps that according to a power distribution system to be expanded and planned, initial values of the line parameters, the load level, the network topology connection relationship, the distributive power supply access position, the power factor, the reference voltage and the reference power are input; a mathematical model for a distributive power supply optimization capacity problem according to each parameter; the rotary cone restriction is set according to a network structure and the scale; a cone optimization method is adopted for solving the rotary cone restriction and the mathematical model of the distributive power supply optimization capacity problem; solving results are output, and the solving results comprise distributive power supply optimal allocation conditions, network power flow results and target function values. The optimal access capacity of a distributive power supply in a power distribution network is determined by the cone optimization method. The consistency of the solution and the original problem of the cone optimization problem is ensured through the rotary cone restriction, the access number of the distributive power supplies are not limited, and the simultaneous optimization of the capacities of a plurality of distributive power supplies can be realized.

Description

technical field [0001] The invention relates to a method for determining the access capacity of a distributed power supply in a distribution network. In particular, it relates to a method for determining the optimal access capacity of distributed power generation in distribution networks based on cone optimization. Background technique [0002] Under the dual pressure of energy demand and environmental protection, the international energy community has turned more attention to the related research fields of distributed power generation technology. Distributed power generation refers to the use of various available decentralized energy sources, including renewable energy sources (solar energy, biomass energy, small wind energy, small hydropower, wave energy, etc.) and locally accessible fossil fuels (mainly natural gas ) technology for power generation and energy supply, which has the advantages of high energy utilization rate, less pollutant discharge, high flexibility, and...

AI Technical Summary

Problems solved by technology

Since the rationality of the DG capacity needs to be verified every time it is corrected, and a large amount of calculation time is spent on the tedious power flow solution

Therefore, the existing methods often cannot meet the actual needs in terms of calculation accuracy and calculation speed.

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