多时间尺度的多虚拟电厂双层协调机制与运行策略

Bi-level Coordination Mechanism and Operation Strategy of Multi-time Scale Multiple Virtual Power Plants

虚拟电厂通过先进的控制策略,能够将分散的分布式资源进行有效整合,打破地域限制,为提高分布式能源的综合发电效益提供了可能。该文考虑虚拟电厂与多代理结构的兼容性,建立基于多代理系统的虚拟电厂控制架构。鉴于虚拟电厂的负荷和电源双重特性,给出其作为售电方和购电方的支付函数,提出多虚拟电厂参与电力市场时的双层协调机制,建立多虚拟电厂双层优化模型。为减小预测不确定性的影响,建立基于机会约束规划的多时间尺度优化模型。通过多个虚拟电厂的双层协调互动机制及多尺度滚动优化,实现收益最大化和区域内电能平衡,以期为能源互联网的有效可靠运行提供参考。

Through advanced control strategies, virtual power plant（VPP） can effectively integrate distributed energy resources（DERs）, break the geographical restrictions and provide possibility to improve the comprehensive energy efficiency of distributed energy. In this paper, the compatibility of VPP and multi-agent system（MAS） was considered first. The control architecture of VPP based on MAS was built. Then in view of dual characteristics of load and power supply, the payment functions of VPP as producer and consumer were given. Bi-level coordination mechanism of multiple VPPs in electricity market was put forward and bi-level optimization model was established. Then a multi-time scale optimization model based on the chance-constrained programming was built to reduce the influence of prediction uncertainty. By the bi-level coordination mechanism of multiple VPPs and the multi-scale rolling scheduling, it can realize the maximization of revenue and regional power balance, so as to provide reference for the effective and reliable operation of energy internet system.