主动管理模式下分布式风电源选址定容规划

节能减排背景下,以分布式风电源(DWG)为代表的可再生能源发电得到了快速发展。考虑风速和负荷间的时序相关性,采用联合概率分布法对其进行多场景构建。在此基础上,考虑调节有载调压变压器抽头、削减DWG有功出力、调节DWG功率因数和需求侧管理4种主动管理措施,建立了主动管理模式下DWG选址定容双层规划模型,上层规划以年综合费用最小为目标,下层规划则以每个场景的配电网运行费最小为目标。提出改进差分进化算法和原对偶内点法相结合的混合策略对规划模型进行求解。IEEE 33节点配电网算例的仿真和分析验证了模型的可行性和所提求解方法的有效性。

Siting and Sizing Planning of Distributed Wind Generators Under Active Management Mode

Against the background of energy saving and emission reduction, renewable generation, represented by distributed wind generator (DWG), is developing rapidly. The joint probability distribution method is adopted to formulate the multi-scenarios with the time-sequential correlation between wind speed and load demand taken into account. Based on this, considering four active management measures including regulating the on-load tap changer, curtailing the output power of DWG, regulating the power factor of DWG, and demand-side management, a bi-level programming model is proposed for optimal siting and sizing of DWG under the active management mode. The minimization of annual total cost is taken as the objective of upper level, and the minimization of distribution network operation cost of each scenario is taken as the objective of lower level. A hybrid strategy combining the improved differential evolution algorithm and primal-dual interior point method is developed to solve the planning model. Case studies carried out on the IEEE 33-bus distribution system have verified the feasibility of the proposed model and the effectiveness of the developed solving method. This work is supported by National Natural Science Foundation of China (No. 51261130473) and National Basic Research Program of China (973 Program) (No. 2014CB23903).