摘要
电力现货市场中传输阻塞管理需要协调输电网和配电网可控资源。鉴于虚拟电厂(VPP)具有能够聚合分布式电源(DG)参与电力市场的良好特性,提出了配电网作为VPP参与电力现货市场阻塞管理的输配协同双层优化模型。输电网层综合考虑了由母线电压越限和支路/断面功率越限引起的输电网阻塞,实现了VPP和常规机组的协同优化;VPP层考虑了配电网可控DG和可中断负荷的参与并满足了配电网安全约束。通过2层之间的交互协调,实现了输配全局资源的经济利用、给出了更加合理的价格信号。对由IEEE 30节点输电网和3馈线、16节点配电网组成的输配全局电网算例进行仿真,结果表明了文中模型与方法的有效性。
The controllable resources in both transmission grid and distribution grid should be considered coordinately in the transmission congestion management in the spot power market.In view of the ability of a virtual power plant(VPP)to effectively integrate distributed generators(DGs)to participate in power market,a bi-level optimization model based on transmission and distribution coordination for transmission congestion management in the spot power market is established,in which a distribution grid is equivalent to a VPP.The transmission congestion caused by voltage over-limit and branch/interface power over-limit are considered at the transmission grid level,in order to realize the coordination optimization of VPPs and thermal units.The VPP level considers the participation of controllable DGs and interruptible load,and satisfies the security constraints of distribution grid.Through the interaction between the two levels,economic utilization of global resources of transmission and distribution grids is realized.Meanwhile,a more reasonable price signal is given.Simulation results on an integrated test system of IEEE 30-node transmission grid and 3-feeder 16-node distribution grid show that the proposed model and method are effective.
作者
赵晋泉
杨婷
姚建国
杨胜春
陈刚
徐春雷
ZHAO Jinquan;YANG Ting;YAO Jianguo;YANG Shengchun;CHEN Gang;XU Chunlei(College of Energy and Electrical Engineering,Hohai University,Nanjing 210098,China;China Electric Power Research Institute(Nanjing),Nanjing 210003,China;State Grid Jiangsu Electric Power Company Limited,Nanjing 210024,China)
出处
《电力系统自动化》
EI
CSCD
北大核心
2020年第7期107-114,共8页
Automation of Electric Power Systems
基金
国家重点研发计划资助项目(2017YFB0902600)
国家电网公司科技项目(SGJS0000DKJS1700840)。
关键词
阻塞管理
输配协同
虚拟电厂
双层优化
congestion management
transmission and distribution coordination
virtual power plant
bi-level optimization