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Microgrid multi-energy dispatching optimization method based on positive and negative feedback particle swarm algorithm

A particle swarm algorithm, positive and negative feedback technology, applied in circuit devices, AC network circuits, single-network parallel feeding arrangements, etc., can solve problems such as population size, iteration times, and algorithm complexity affecting algorithm solution speed and accuracy.

Inactive Publication Date: 2018-08-31
ELECTRIC POWER SCI & RES INST OF STATE GRID TIANJIN ELECTRIC POWER CO +2
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Problems solved by technology

At the same time, in the face of large multi-node complex networks, the population size, number of iterations, and algorithm complexity of the PSO algorithm will affect the solution speed and accuracy of the algorithm.

Method used

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  • Microgrid multi-energy dispatching optimization method based on positive and negative feedback particle swarm algorithm
  • Microgrid multi-energy dispatching optimization method based on positive and negative feedback particle swarm algorithm
  • Microgrid multi-energy dispatching optimization method based on positive and negative feedback particle swarm algorithm

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Embodiment Construction

[0072] Embodiments of the present invention are described in further detail below in conjunction with the accompanying drawings:

[0073] A microgrid multi-energy scheduling optimization method based on positive and negative feedback particle swarm optimization, such as figure 1 shown, including the following steps:

[0074] Step 1. Establish an optimization objective function to optimize system generator output and minimum power generation cost under the condition of satisfying system operation constraints:

[0075]

[0076] In the formula, F G n in the system g The total power generation cost of each generator; F i (P i ), P i are the cost and active power of the i-th generator, respectively; n g is the number of generator nodes in the system;

[0077] for F i (P i ), generally expressed as: F i (P i ) = a i +b i P i +c i P i 2 , where a i , b i、c i are the fuel cost coefficients, respectively.

[0078] Establish a generator consumption characteristic...

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Abstract

The invention relates to a microgrid multi-energy economic method based on a positive and negative feedback particle swarm optimization algorithm. The method comprises: step one, an optimization objective function for optimizing the system generator output and minimum power generation cost is established under the circumstance of satisfying the system operation constraint condition; step two, setting a constraint condition of the optimization objective function from the step one; and step three, carrying out optimization calculation by using a positive and negative feedback particle swarm algorithm, setting various parameters of the algorithm, and then starting iterative calculation to obtain an optimal solution of the optimization objective function from the step one. According to the invention, with a dynamic double-population particle swarm structure and linear decreasing inertia weight calculation, multi-energy scheduling of the micro grid is optimized effectively.

Description

technical field [0001] The invention belongs to the technical field of power system energy dispatching, and relates to a microgrid multi-energy dispatching optimization method, in particular to a microgrid multi-energy dispatching optimization method based on positive and negative feedback particle swarm optimization. Background technique [0002] At present, with the rapid development of smart grid and energy Internet technology, the power system presents new changes and characteristics in terms of power supply, transmission and distribution, and load. It is gradually becoming a new generation of power system to build extensive interconnection, intelligent interaction, flexibility, safety and controllability. consensus. With the increasingly serious energy crisis, resource shortage and environmental deterioration of globalization, countries around the world have begun to attach importance to the development and utilization of renewable and non-polluting energy. In recent y...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H02J3/46
CPCH02J3/46H02J2203/20
Inventor 于光耀李国栋黄志刚洪芦诚王旭东王健王伟臣徐青山李振斌杨帮宇宋海涛马世乾吴磊霍现旭刘亚丽刘云胡晓辉张亮张健
Owner ELECTRIC POWER SCI & RES INST OF STATE GRID TIANJIN ELECTRIC POWER CO
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