摘要
虚拟电厂(virtualpowerplant,VPP)技术的发展,使得售电公司规模化利用分布式电源和可控负荷参与市场交易成为可能。针对VPP参与的售电公司运营体系的特点,建立了配网-VPP双层优化调度模型。配网层制定VPP调度计划,优化售电公司运营收益;VPP层采用两阶段优化方法,协调内部各种资源的最优分配,使综合效益最大化,并通过将机会约束转化为确定性二阶锥形式描述光伏及可控负荷用户违约的不确定性。2层优化之间通过参数传递更新运行状态并交替求解,最终得出整体最优方案。分别采用NSGA-II算法和yalmip/Gurobi对2层优化问题进行求解。基于改进的IEEE33节点配电系统算例表明,所提售电公司双层优化模型通过对VPP的合理调度,能够在保证VPP综合效益和所辖配网安全运行的情况下,实现售电公司利润最大化。
Development of virtual power plant(VPP) technology makes it possible for electricity retailers to participate in market transactions bound with distributed electric resource and dispatchable loads. Aiming at operating system characteristics of electricity retailers integrated with VPPs, in this paper, a bi-level optimization model is established, containing distribution grid level and VPP level. Dispatching scheme of VPPs is obtained while optimizing operation profits of electricity retailers in distribution grid level. And optimal allocation of resources is coordinated while optimizing comprehensive benefits with a two-stage optimization method, and uncertainty of photovoltaic and demand response resource's breach are taken into account by transforming chance constraints into deterministic form of second-order cones. The two levels are solved in turn by updating operational state via parameter passing, and an overall optimization is obtained at last. NSGA-II algorithm and Yalmip/Gurobi are used to solve the two levels respectively. A test case based on modified IEEE33 system shows that optimal scheduling of VPPs can maximize electricity retailers' operation profit while ensuring comprehensive benefits of VPPs and safety of distribution grid.
引文
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