电力系统保护与控制Issue(13)：45-52,8.
基于机会约束规划的主动配电网能量优化调度研究
Study on energy dispatch strategy of active distribution network using chance-constrained programming
摘要
Abstract
Active distribution network has gradually become the important direction of the future smart power grid. It plays an important role in increasing capability of renewable energy accommodation, improving the power utilization level and realizing the flexible intelligent distribution network management. The active distribution network energy management system (DMSs), which is the highest decision-making center of active distribution network, uses effective controlling and scheduling of the distributed power to guarantee global optimization operation of distribution network. This paper aims to improve the economy and reliability of the active distribution network. As the wind power and photovoltaic power generation have uncertainty, it uses random simulation technique and the penalty function method, based on the chance-constrained programming to establish a energy scheduling mathematical model, which has wind turbines, photovoltaic power generation unit and the active power energy storage device. Considering various constraint conditions, the model uses the improved particle swarm algorithm to solve. In order to verify the correctness and effectiveness of the provided model, an actual system in a certain area is used as an example and the standard particle swarm algorithm is compared.关键词
主动配电网/能量管理系统/随机模拟技术/机会约束规划/改进粒子群算法Key words
active distribution network/DMSs/random simulation technique/chance-constrained programming/improved particle swarm algorithm分类
信息技术与安全科学引用本文复制引用
王健,谢桦,孙健..基于机会约束规划的主动配电网能量优化调度研究[J].电力系统保护与控制,2014,(13):45-52,8.基金项目
清华大学电力系统国家重点实验室开放基金资助；国家电网北京市电力公司科技项目（5202011304HH）；国家863高技术基金项目（2011AA05A306）This work is supported by National High-tech R&D Program of China (863 Program)(No.2011AA05A306) （863 Program）
