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The research of electric load control system based on MAPSO algorithm

机译:基于MAPSO算法的电力负荷控制系统研究。

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A novel multi-agent particle swarm optimization algorithm (MAPSO) is proposed for power load control system in this paper, which regards the large number of highly decentralized regional power load as the rotating adjustable energy power resource to reduce peak or fill valley. The algorithm doesn't only have the advantage of agent to self-government to update its own state, but also has the advantage of the particle swarm to achieve the optimal state quickly. Avoid the disadvantage other optimization such as algorithm modeling complex, computing speed slowly. The application indicates that the effectiveness of the method.
机译:提出了一种新颖的多智能体粒子群优化算法(MAPSO)用于电力负荷控制系统,该算法将大量高度分散的区域电力负荷作为可旋转的可调能源,以减少峰值或填充谷。该算法不仅具有自治的代理来更新自身状态的优点,而且具有粒子群能够快速实现最优状态的优点。避免其他优化的缺点,例如算法建模复杂,计算速度慢。该应用表明该方法的有效性。

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