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主动配电网区域能源优化配置双层规划方法 被引量:14

Bi-level Programming Method for Active Power Distribution Network Based on Integrated Resource Strategy Planning
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摘要 面对世界性的能源和环境问题,仅靠增加电源和变电站建设投资来满足迅速增长的电力需求的传统电力规划方式已凸现其不可持续性。基于综合资源战略规划理论,从全社会角度,考虑光伏电源和可中断负荷为代表的广义电源,建立了主动配电网区域能源扩展优化的双层规划模型。上层规划以广义电源的建设、发电和污染治理的总成本最低为目标,优化各类电源装机容量;下层规划以网损最小为目标,为广义电源选址定容。最后结合单纯形法和改进PSO算法进行求解。IEEE33节点算例仿真分析结果表明,所提方法与传统规划方法相比,节能减排效果明显,资源利用率更高,全社会效益更突出。 Facing the worldwide energy and environmental issues,the non-sustainability of traditional power planning method which only depends on increasing the power station investment in order to meet the rapid growth of electricity demand has emerged onto the surface. This paper established an integrated resource strategic planning(IRSP)based bilevel programming model for regional energy expansion optimization of active distribution networks,considering the photovoltaic power generation(PV)and interruptible load(IL)as the generalized power source from the perspective of the whole society. The upper level programming model optimized the power installation capacity of the generalized power sources by minimizing the total cost of power supply construction and maintenance,power generation and the governance of pollutants. The lower level programming model,which took the minimum network loss as the purpose,located and sized the generalized power sources. Finally,this paper employed the simplex method and improved PSO algorithm to solve this bi-level programming problem. Comparing with the traditional planning,the proposed model and the solution method has an obvious effect of social benefit in energy-saving,emission-reduction and resource utilization rate improvement,which is verified by the simulation analysis of IEEE33 bus system.
出处 《电力系统及其自动化学报》 CSCD 北大核心 2016年第5期97-102,共6页 Proceedings of the CSU-EPSA
关键词 主动配电网 配电网规划 综合资源战略规划(IRSP) 双层规划 光伏电源 可中断负荷 选址定容 active distribution network distribution network planning integrated resource strategic planning(IRSP) bi-level programming photovoltaic power generation interruptible load locating and sizing
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