基于混沌的多Agent粒子群算法在微电网并网调度中的优化研究

发布时间：2018-05-24 19:46

本文选题：微电网 + 并网优化　；参考：《电网与清洁能源》2017年08期

【摘要】：考虑到微电网中的分布式电源具有较强的波动性和随机性,会对微电网并网的优化运行带来较大影响,在满足系统约束条件下,提出综合考虑各分布式电源发电成本、环境治理费用、微电网并网收益和新能源发电补贴的微电网并网多目标优化调度模型。针对现有标准粒子群算法中可能存在的局部收敛等问题,将多Agent技术和混沌优化的思想引入粒子群算法中,提出一种多Agent混沌粒子群算法用于求解微电网并网多目标优化调度问题,并结合实际微电网案例验证所提出的数学模型的合理性与优化算法的有效性。
[Abstract]:Considering the strong fluctuation and randomness of the distributed power supply in the microgrid, it will bring great influence on the optimization operation of the grid connected to the micro grid. Under the condition of satisfying the system constraints, it proposes to consider the cost of each distributed power generation, the cost of environmental governance, and the micro grid connected by the income of the micro grid and the subsidy of the new energy generation. In order to solve the possible local convergence problems in the existing standard particle swarm optimization (PSO), the idea of multi Agent and chaotic optimization is introduced into the particle swarm optimization (PSO), and a multi Agent chaotic particle swarm optimization (PSO) algorithm is proposed to solve the multi target optimization scheduling problem of microgrid connected to the grid, and it is proposed in combination with the actual microgrid case verification. The reasonableness of the mathematical model and the effectiveness of the optimization algorithm.
【作者单位】：三峡大学电气与新能源学院;三峡大学新能源微电网湖北省协同创新中心;
【基金】：国家自然科学基金(51407104) 三峡大学研究生科研创新基金(SDYC2016043)~~
【分类号】：TM73

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