Micro-grid optimization method based on good point set quantum particle swarm algorithm

A technology of quantum particle swarm and optimization method, which is applied in the field of microgrid optimization based on good point set quantum particle swarm algorithm, can solve the problems of relying on the selection of initial parameters, premature convergence, and easy to fall into local optimum.

Inactive Publication Date: 2016-09-21
TIANDAQIUSHI ELECTRIC POWER HIGH TECH CO LTD +2
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Problems solved by technology

Although QPSO has improved PSO, it depends on the selection of initial param...

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  • Micro-grid optimization method based on good point set quantum particle swarm algorithm
  • Micro-grid optimization method based on good point set quantum particle swarm algorithm
  • Micro-grid optimization method based on good point set quantum particle swarm algorithm

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Embodiment Construction

[0060] The micro-grid optimization method based on the good point set quantum particle swarm optimization algorithm of the present invention will be described in detail below in conjunction with the embodiments.

[0061] The micro-grid optimization method based on the good point set quantum particle swarm algorithm of the present invention is characterized in that, the following steps:

[0062] 1) Establish a micro-grid multi-objective optimization model, including an objective function formula and a constraint condition formula for micro-grid multi-objective optimization, wherein the objective function formula for micro-grid multi-objective optimization includes:

[0063] (1) Economic target formula:

[0064] min C s =∑C i (1)

[0065] C i = Σ j = 1 n C i , j ...

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Abstract

The invention relates to a micro-grid optimization method based on a good point set quantum particle swarm algorithm. The micro-grid optimization method based on a good point set quantum particle swarm algorithm comprises the steps: establishing a micro-grid multi-target optimization model including a micro-grid multi-target optimization objective function formula and a micro-grid multi-target optimization constrained condition formula; using a good point set to improve a quantum particle swarm algorithm; and using the good point set quantum particle swarm algorithm to solve the micro-grid multi-target optimization model. The micro-grid optimization method determines the capacity of a micro gas turbine according to the maximum load, and re-optimizes the capacity of an intermittent distributed power supply and an energy storage system. During the solution process, the micro-grid optimization method utilizes the good point set quantum particle swarm algorithm, thus guaranteeing the optimization result and guaranteeing the good selectivity and instructiveness at the same time. As a built-in filtering-based on scheduling strategy can give full play to the characteristics of the micro gas turbine and the energy storage system, the micro-grid optimization method has the advantage of a spectrum analysis method and also has better timeliness, and can obtain the position and capacity of the distributed power supply, the energy storage system and the micro gas turbine in the micro-grid through calculation so as to realize economical efficiency in the isolated micro-grid and the integral optimization of discharge of pollutants.

Description

technical field [0001] The invention relates to a micro-grid planning method. In particular, it relates to a microgrid optimization method based on the good point set quantum particle swarm algorithm for isolated microgrids containing distributed power sources, energy storage and micro gas turbines. Background technique [0002] Microgrid refers to a small power distribution system composed of distributed power supply, load, energy storage device, control system, etc., which can be divided into grid-connected type and isolated type. Isolated microgrids can only rely on local renewable energy or other distributed power generation units, supplemented by corresponding energy storage units to supply power to local loads. Since the isolated microgrid cannot obtain electric energy from the outside world, the planning and design of the isolated microgrid is mainly to select the appropriate optimization target and design a reasonable energy scheduling strategy to realize uncontroll...

Claims

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Application Information

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IPC IPC(8): H02J3/00H02J3/38G06F17/50G06Q10/06G06Q50/06G06N3/00
CPCG06N3/006G06Q10/06312G06Q50/06G06F30/18G06F2119/06H02J3/00H02J3/381H02J3/388H02J2203/20Y02E40/70Y04S10/50
Inventor 申刚张岩尚德华杨毅张源超庄剑于建成项添春王旭东丁一戚艳
Owner TIANDAQIUSHI ELECTRIC POWER HIGH TECH CO LTD
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