摘要
结合分布式电源接入对配电网的影响,通过对系统网损、电压分布及用户可靠性要求的综合分析确定出了分布式电源候选安装位置解集。为实现分布式电源独立发电商和配电公司的利益均衡,建立了分布式电源单位成本收益和其接入后改善电网所得收益最大化的多目标规划模型,所建模型考虑了分布式电源的投资成本、卖电收益、环境改善,以及网损、电压质量、可靠性和延缓网络更新等。求解方法基于改进非劣排序遗传算法,通过使用分段式染色体操作实现分布式电源类型、位置和容量的同时优化规划。IEEE 69节点仿真结果表明,该方法可协调拥有分布式电源的独立发电商和配电公司之间的利益问题。
By referring to the influence of integration of distributed generaiors （DGs） on distribution networks, candidate solutions for DGs are given by analyzing the power loss, voltage distribution, and customer reliability demand. To balance the benefits between independent power suppliers （IPSs） and power distribution companies （PDCs）, a multi-objective planning model is developed that takes both maximum DGs unit cost rate and maximum benefits from the improved grid into account. The model proposed involves cost and benefit, environment improvement, network loss, voltage quality, reliability, delayed network renewal etc. Based on the non-inferior sorting genetic algorithm, the solving method uses the segment chromosome operations to realize simultaneous optimization between type, site and size. The simulation results of an IEEE 69-bus system show that the method proposed is fast, reliable and effective in the determination of the location and capacity of DGs as well as the benefits balance between IPS with DGs and PDC. This work is supported by National Meg^projeet of Science Research （No. 2006BAJ04B06）.
出处
《电力系统自动化》
EI
CSCD
北大核心
2011年第4期23-28,共6页
Automation of Electric Power Systems
基金
国家科技支撑计划资助项目(2006BAJ04B06)~~
关键词
分布式电源
多目标优化
非劣排序遗传算法
选址定容
电源规划
distributed generator
multi-objective optimization
nowdominated sorting genetic algorithm
siting and sizing generation planning
