电网智能化调度与控制教育部重点实验室(山东大学), 山东省济南市 250061
State Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education (Shandong University), Jinan 250061, China
With the access of high proportion of renewable energy and the development of active distribution network technology in power systems, the traditional dispatch method, namely isolated transmission and distribution scheduling, may lead to incoordination of power generation and consumption planning between the transmission network and the active distribution network, and cannot fully utilize the centralized and distributed renewable energy. To solve the problems above, a hierarchical and distributed coordinated multi-source optimal dispatch scheme is proposed for the power system with high proportion of renewable energy, where the independence of each dispatch level is fully respected to achieve decentralized autonomy and coordinated optimization. At the transmission network level, the improved interval approach is employed to deal with the uncertainty of renewable energy, and the sub-problem is formulated as energy and reserve co-optimization model. At the distribution network level, the local dispatch level is set, and the scenario based stochastic programming is used to perform the united optimization of distributed renewable energy with energy storage integration. Thus, the sub-problem at the distribution network level is formulated as dynamic economic dispatch model. The analytic target cascading (ATC) based iterative method is applied to achieve optimal dispatch strategy of transmission and distribution coordination, while only partial boundary variables are exchanged between each area for coordination. Finally, the case study shows that the proposed coordinated dispatch scheme can take the advantage of power sources in transmission and distribution systems, which helps to improve the power grid operation economy and the ability to accommodate renewable energy.
ZHANG Xu,WANG Hongtao.Optimal Dispatch Method of Transmission and Distribution Coordination for Power Systems with High Proportion of Renewable Energy[J].Automation of Electric Power Systems,2019,43(3):67-75. DOI:10.7500/AEPS20180122003.