含多类型资源虚拟电厂鲁棒竞标模型研究

Research on Robust Bidding Model of Virtual Power Plant with Multi-type Resources

虚拟电厂(virtual power plants,VPP)能有效聚合分散的多类型需求侧资源时,是需求侧资源参与电力市场的有效方式。但是VPP的市场行为无法直接采用传统的火电竞价模型进行描述,线路输电约束等出清过程中考虑的物理条件也会对虚拟电厂内部资源管理策略产生影响,基于此,文章以风电、储能、燃气轮机及需求响应负荷组成虚拟电厂为研究对象,考虑VPP内部风电出力不确定性以及聚合对象的调节能力,建立市场环境下VPP多类型资源鲁棒竞标模型。该模型采用库恩塔克(Karush-Kuhn-Tucker,KKT)条件等值市场出清模型,并将其作为约束条件在VPP决策中进行考虑。算例表明该模型可以根据市场现状优化VPP内部多类型资源组合出力,提供经济可靠的竞标策略,有效提高VPP经济效益。

Virtual power plants(VPP) can effectively aggregate decentralized demand-side resources.It is an effective way for demand-side resources to participate in electricity market.However,the market behavior of VPP cannot be expressed by the traditional bidding model of the thermal power plant,meanwhile the transmission constraints will also impact the interior resource management strategy of the VPP.Under the aforementioned background,a robust bidding model of multi-type resources in virtual power plant in power market is proposed and it takes into account renewable energy output uncertainty and the adjusting ability of aggregated units.The virtual power plant studied in this paper consists of wind power,energy storage,gas turbine and demand response load.The model takes Karush-Kuhn-Tucker(KKT) equivalent condition of market liquidation model as constraints to represent the relationship between market liquidation process and VPP decision-making.The results show that the model can optimize internal resource combination of VPP according to the market situation,provide an economic and reliable bidding strategy,and effectively improve the economic benefits of VPP.