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Micro-grid load game method based on glowworm optimization algorithm

A microgrid load game, firefly optimization technology, applied in computing, instrumentation, finance, etc., can solve the problems of particle swarm optimization, which is difficult to ensure convergence and slow optimization of iterative algorithms.

Inactive Publication Date: 2014-04-16
ZHEJIANG UNIV OF TECH
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  • Summary
  • Abstract
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Problems solved by technology

However, the optimization speed of the iterative algorithm is too slow, and the particle swarm algorithm cannot guarantee the global convergence.

Method used

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  • Micro-grid load game method based on glowworm optimization algorithm
  • Micro-grid load game method based on glowworm optimization algorithm
  • Micro-grid load game method based on glowworm optimization algorithm

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Embodiment Construction

[0087] Referring to the attached picture:

[0088] The microgrid load game method based on the firefly optimization algorithm includes the following steps:

[0089] 1) Establish a microgrid load optimization game model;

[0090] 1-1) Determine the players and game strategies in the microgrid load optimization model;

[0091] 111), the present invention selects wind energy, solar energy, accumulator and fuel cell group as the micro-power supply, selects three factories of different types, and uses F respectively as the players of the system 1 , F 2 and F 3 To represent. Microgrid system model such as figure 1 shown;

[0092] 112), the present invention regards the electricity consumption capacity required for production as the game strategy of each factory, which is recorded as P 1 ,P 2 and P 3 . The specific strategy space is shown in Formula 1:

[0093] 0≤P i ≤P imax i=1,2,3 (1)

[0094] 1-2), determine the income function of the game player, the income is the...

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Abstract

A micro-grid load game method based on a glowworm optimization algorithm includes the following steps of firstly, setting up a micro-grid load optimization game model; secondly, solving the game model; thirdly, analyzing the case.

Description

technical field [0001] The project of the present invention relates to a research on a microgrid load game model, especially a firefly-based game optimization algorithm. Background technique [0002] The addition of renewable energy has made the economic and environmental benefits of the microgrid increasingly prominent. The types of micro-power sources in the micro-grid are complex and the loads are diversified. As an effective means to realize the economical operation of the micro-grid, load optimization has become the focus of micro-grid research. However, the scale of the microgrid is limited, the investment cost of the micropower source is too high, and the load of the microgrid is bound to have a situation of competition for power consumption. How to achieve reasonable load optimization is still an urgent problem to be solved. However, some load optimization algorithms currently used, such as particle swarm algorithm, genetic algorithm and chaos algorithm, have some s...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06Q40/06
Inventor 王晶王宗礼陈骏宇张颖龚余峰
Owner ZHEJIANG UNIV OF TECH
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