This paper propose a method for pricing energy and reserve in the system with storage to balance its high penetration of wind power.A two-stage network-constrained schedule model based on stochastic programming co-optimizes energy and reserves is provided by generating units and storage in the system.Constraints include DC Kirchhoff laws throughout the network for all possible wind production scenarios.The values of generating units and storage for reserve and energy，as well as wind energy，to system operation，are derived from the optimality conditions in terms of locational marginal prices.The proposed pricing scheme provides proper signals of the system cost of energy and reserve provision as well as utilization.It also recognizes the contribution of storage systems to accommodate uncertainties induced by stochastic renewable energy for systems.
|||刘恺 ,张昆 ,钟金 ,等.基于价格灵敏度分析的风储系统经济性评估[J].电力系统自动化,2013,37(1):143-148. DOI:10.7500/AEPS201208259.|
Kai LIU, Kun ZHANG, Jin ZHONG, et al. Economic Evaluation for Systems with High Penetration of Wind Power Based on Price Sensitivity Analysis[J]. Automation of Electric Power Systems, 2013, 37(1):143-148. DOI:10.7500/AEPS201208259.