分布式发电接入主动配电网的全局优化与研究

Global Optimization and Research on Distributed Generation Integration to Active Distribution Network

  • 摘要: 主动配电网是实现大规模间歇式新能源并网运行和控制、电网与充放电设施互动、智能配用电等电网分析与运行关键技术的有效解决方案,针对分布式发电规划问题,建立主动配电网线损最小、电压偏差最小、投资成本最小的多目标分布式发电规划模型。采用模糊集将多目标优化转换为单一目标优化,使总体满意度最大化,提升整体性能。同时采用改进多种群遗传算法对建立的模型进行求解,在一定程度上克服了多种群遗传算法容易较早收敛的问题,并对某城市小区主动配电网系统上进行计算、仿真和试验,验证了该模型和算法的有效性。

     

    Abstract: Active distribution network is an effective approach to solutions such as the high-penetration of intermittent renewable energy, interaction between grid ,charge and discharge facilities,and also the analysis and operation of smart grid. In allusion to the planning of distributed generators,a multi-objective programming model, which takes into account the least active power loss, the best voltage level and the smallest investment cost, is established. Using the fuzzy set theory to transform the multi-objective optimization into mono-objective optimization and maximizing the overall satisfaction improves the overall performance. At the same time, the modified multi-population genetic algorithm is used to solve the model. To a certain extent, this algorithm overcomes the premature convergence caused by multi-population genetic algorithm. The 35 node power system of certain city community is checked the effectiveness of the model and algorithm.

     

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