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Improved bat algorithm based method for solving multi-objective active power dispatch of power system

A technology of power system and bat algorithm is applied in the field of solving the multi-objective active power scheduling problem of power system based on the improved bat algorithm, so as to achieve the effect of improving the global search ability and enhancing the diversity of the population.

Inactive Publication Date: 2018-12-04
CHONGQING UNIV OF POSTS & TELECOMM
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Problems solved by technology

[0005] For multi-objective optimization problems, it is impossible to find a unique solution for multiple objectives to reach the optimal state at the same time, only a set of Pareto solutions can be obtained

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Embodiment Construction

[0095] The technical solutions in the embodiments of the present invention will be described clearly and in detail below with reference to the drawings in the embodiments of the present invention. The described embodiments are only some of the embodiments of the invention.

[0096] The technical scheme that the present invention solves the problems of the technologies described above is:

[0097] Such as figure 1 As shown, the MOIBA algorithm based on the constraint priority rule and the non-inferior ranking method is applied to the solution of the multi-objective active power scheduling of the power system, and 30 independent simulation experiments are carried out for the dual-objective optimization of fuel cost and exhaust emission. Specifically include the following steps:

[0098] (1) Determine the mathematical model of the multi-objective active power dispatching of the power system. The mathematical model of the multi-objective active power scheduling (MOOPF) to be so...

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Abstract

The invention provides an improved bat algorithm based method for solving a multi-objective active power dispatch problem of a power system. According to the invention, a bat algorithm for handling the multi-objective active power dispatch problem is proposed and is improved by utilizing an inertia weight coefficient and a global optimum guidance mechanism. The improved algorithm can handle the multi-objective problem effectively, can search an even-distribution Pareto Optimality front end and can search an optimal compromise solution by utilizing fuzzy subordination. According to the invention, the improved bat algorithm adopts congestion distance and non-dominated sorting for maintaining the even distribution of the Pareto Optimality front end and adopts the fuzzy mechanism to determinethe optimal compromise solution. The improved algorithm has a good optimization effect in an aspect of solving the multi-objective active power dispatch problem of the power system and is high in search efficiency and achieves even distribution of disaggregation of the Pareto Optimality front end.

Description

technical field [0001] The invention belongs to the technical field of power flow optimization in power systems, relates to the technical field of power system power flow optimization schemes, and specifically relates to a method for solving multi-objective active power scheduling problems in power systems based on an improved bat algorithm. Background technique [0002] To meet the needs of social progress and people's daily life, higher requirements are put forward for the safety, stability and economic operation of the power system. The optimal power flow problem is the extended development and improvement of the economic dispatch of the power system, which can comprehensively consider the safe and stable operation of the power system, the optimal economic operation and other issues. The single-objective optimal power flow problem is essentially a multi-constraint, nonlinear optimization problem with a single objective as the object, while the multi-objective optimal powe...

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Application Information

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IPC IPC(8): G06Q10/04G06Q10/06G06Q50/06G06F17/50G06N3/00H02J3/06
CPCG06N3/006G06Q10/04G06Q10/06312G06Q50/06G06F30/20H02J3/06H02J2203/20Y02E40/70Y04S10/50
Inventor 陈功贵钱洁曹佳谭晓霞李志军
Owner CHONGQING UNIV OF POSTS & TELECOMM
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