基于负荷分类增长的分布式风电源与电容器联合动态规划

研究了分布式风电源(distributed wind generation,DWG)和电容器联合规划问题。考虑了不同节点负荷增长差异,并按行业对负荷分类;基于时序耦合多场景技术,以DWG和电容器安装时间、地点和容量为控制变量,分别以规划期利润和时段场景效益最大为目标函数,建立了DWG和电容器的双层联合动态规划模型。算例仿真结果表明,DWG与电容器联合动态规划可保证系统电压约束,实现整体效益的最大化;负荷分类增长方式能更好模拟实际运行环境,从而进一步优化规划方案,降低系统网损;负荷增长速率对规划结果影响较大,因而负荷的准确预测对规划至关重要。

Integrated Dynamic Planning of Distributed Wind Generation and Capacitor Based on Load Classification Growth

The integrated planning of distributed wind generation(DWG)and capacitor is studied.Considering the difference in the load growth of different nodes,and classify the load according to industry.Based on timing multi-scenario technique,a bi-level integrated dynamic planning model of DWG and capacitor is established then,in which the upper and lower level is to maximize profit of planning horizon and benefit of scenario respectively.The proposed model determines the optimal time,location and capacity of DWG and capacitor.Simulation results show that the comprehensive dynamic planning of DWG and capacitor can ensure the voltage constraint and maximize the overall benefit.The load classified growth mode can simulate the actual operating environment better,so as to further optimize the planning scheme and reduce the network loss.The growth rate of load has great influence on the planning results,so the accurate prediction of load is crucial to the planning.