通过风险分摊与迭代报价协调预防控制与紧急控制

Coordination of Preventive Control and Emergency Control by Assigning Risk Cost and Iterative Bidding

为在电力市场环境下管理动态阻塞风险,提出风险分摊的预交易迭代模式。针对电力市场预出清所得的工况,用故障概率与紧急控制代价的乘积来定义失稳风险。以该风险值最小为目标,搜索最优紧急控制。将得到的最小风险值在失稳机群中按发电功率分摊,并实时公布以引导竞争者计及自己的风险成本重新报价。迭代后得到统一出清购电费与失稳风险之和最小的决策。此时的出清结果(反映了电力系统的预防控制)与电力系统紧急控制达到最优协调。该模式可以公开、公平、公正地引导参与者降低动态阻塞风险。通过市场竞争与系统分析之间的动态交互仿真,分析影响输电动态阻塞风险的因素,研究物理领域中的电力系统稳定控制与经济领域中的市场交易阻塞管理之间的影响机理。

A predictive and iterative trade model based on risk cost assignment is proposed to manage dynamic transmission congestion risks in a power market. The instability risk under working conditions resulted from predictive market clearing is defined as the product of fault probability and emergency control cost. The optimal emergency control is determined by search for the minimum value of risks. The risk assignment plan among the critical machines is announced in real time to guide the competing market participants to consider risk cost through rebidding. Bidding iterations give the point where minimum sum of market clearing price （MCP） based purchasing cost and instability risk is obtained. At this point, the MCP-based purchasing cost reflecting preventive control is optimally coordinated with emergency control. The model can introduce participants to decrease dynamic congestion risks in an open, fair and just way. The influence factors of dynamic congestions and the mechanism of interactions between stability control at physical aspect and congestion management at the economical aspect of a power system are also studied based on a dynamic and interactive simulation tool which runs market competitions and physical system analysis simultaneously.