Electrical power system multi-target optimal power flow implementation method and device

Abstract

The invention relates to the technical field of electrical power systems, and relates to an electrical power system multi-target optimal power flow implementation method and device. The method provided by the invention comprises the following steps of: (1) calculating an admittance matrix according to designated power grid data, and constructing a multi-target planning problem corresponding to the optimal power flow; (2) normalizing a target function of the multi-target optimal power flow problem; (3) establishing self-adaptive control of parameters by utilizing a flexibility analyzing technique; (4) resolving each single target optimizing problem in an alternative iteration mode; and (5) acquiring an approximate set of an effective solution set of the multi-target optimal power flow problem. The device provided by the invention comprises a constructing unit, a normalizing unit, a creating unit, a processing unit and an acquisition unit. According to the invention, a plurality of mutually conflicted power supply targets can be reasonable compromised and coordinated well, information of the whole effective solution set or the approximate set with almost equal distances of the effective solution set is obtained, and a strategy support is provided for energy conservation and emission reduction as well as safe and economical running of the electrical power system.

Description

technical field [0001] The invention relates to the technical field of electric power systems, in particular to a method and device for realizing multi-objective optimal power flow of electric power systems for energy saving and emission reduction, and safe and economical operation of electric power systems. Background technique [0002] With the continuous development of power system scale, Optimal Power Flow (OPF) calculation is being widely used as an offline analysis tool or an online optimal control method. [0003] As a new concept of energy development, low-carbon economy has become a restrictive factor for world energy production and development. In today's evolving electricity market, there is growing concern about the carbon footprint of the electricity system. China's energy structure is dominated by coal, and the thermal power industry is the main body of carbon emissions. Facing the development model of a low-carbon economy, the power industry is bound to becom...

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Problems solved by technology

This kind of optimization is still single-objective optimization in essence, and only one Pareto optimal solution can be obtained for each operation, and it is not necessarily possible to obtain an almost equidistant approximation of the Pareto optimal solution set even by using a set of uniformly distributed weight coefficients. set

In addition, it has been proved in theory that the multi-objective optimal power flow method based on objective weight assignment cannot converge to the non-convex area on the Pareto optimal front surface, making it difficult to make a reasonable compromise and coordination between multiple conflicting objectives.

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