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Economic load distribution method of power system based on improved symbiotic particle swarm optimization

A technology of economic load distribution and particle swarm algorithm, applied in the field of power system, can solve problems that cannot be solved by traditional methods, and achieve the effects of fast convergence speed, minimized power generation cost, and high precision

Active Publication Date: 2018-12-07
DALIAN UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

Due to the strong nonlinearity and multiple sets of different solutions to this problem, traditional methods cannot solve it well

Method used

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  • Economic load distribution method of power system based on improved symbiotic particle swarm optimization
  • Economic load distribution method of power system based on improved symbiotic particle swarm optimization
  • Economic load distribution method of power system based on improved symbiotic particle swarm optimization

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Embodiment 1

[0049] The embodiments of the present invention are implemented on the premise of the technical solutions of the present invention, and detailed implementation methods and specific operation processes are given, but the protection scope of the present invention is not limited to the following embodiments.

[0050] The specific implementation steps are as follows:

[0051] Step 1: Establish the corresponding constraint expression according to the requirements of the actual power system economic load distribution problem. Constraints include two types, equality constraints and inequality constraints. The equality constraint means that the parameter value satisfies the balance of the load power, as shown in the following formula.

[0052]

[0053] In the formula, n is the total number of generators; P i Represents the active power of the i-th generator; P refers to the total load power in the system.

[0054] The inequality constraint means that the active power of the unit...

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Abstract

The invention relates to an economic load allocation method based on improved symbiotic particle swarm optimization for a power system, and belongs to the technical field of electronic information. The economic load allocation method comprises the following steps of (1) building a corresponding constraint condition expression according to an actual economic load allocation problem of the power system; (2) building a target function of the economic load allocation problem of the power system according to a constraint condition, and converting an actual application problem to a non-linear planning problem at mathematics; (3) describing the improved symbiotic particle swam optimization; and (4) optimizing and solving the economic load allocation problem of the power system by the improved particle swam optimization. By the economic load allocation method, the solution of the economic load allocation problem of the power system under two different constraint conditions is solved, the solution accuracy is high by the improved symbiotic particle swam optimization, the convergence speed is fast, and the total cost is reduced.

Description

technical field [0001] The invention relates to a power system economic load distribution method based on an improved symbiotic particle swarm algorithm, and belongs to the technical field of power systems. Background technique [0002] With the rapid development of the market system and the establishment of a conservation-oriented society, the economic load distribution of power system is an important and practical optimization problem. It refers to minimizing the total power generation cost of the entire system under the condition of satisfying different constraints. Different constraints include load demand, system network loss and power generation range, etc. Power economic load distribution affects the safety and economic benefits of power systems, so it has received extensive attention from domestic and foreign researchers. [0003] The traditional methods to solve the problem of economic load distribution in power system include Lagrangian method, constant micro-inc...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H02J3/00G06Q10/04G06Q50/06
CPCG06Q10/04G06Q50/06H02J3/00H02J3/003H02J2203/20
Inventor 魏小鹏张建霞张强周东生
Owner DALIAN UNIV
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