摘要
提出一种针对含大规模风电的电力系统储能和备用的灵敏度定价方法。结合随机场景分析技术,建立考虑直流潮流约束的调度优化模型,可涵盖所有可能的风电出力场景。基于所提模型,采用边际定价方法,通过最优性条件和拉格朗日乘子,推导了传统发电机、风电和储能系统的能量价格及备用服务价格因子。该定价方法可量化电网中各种机组和储能装置对于系统运行的经济价值,为调度运行和规划提供了参考和依据。
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 cooptimizes 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.
出处
《电力系统自动化》
EI
CSCD
北大核心
2013年第1期143-148,共6页
Automation of Electric Power Systems
基金
supported by National Basic Research Program of China (973 Program)(No.2012CB215102)
National Natural Science Foundation of China(No.51206138)
China Southern Power Grid Project(No.K-ZD2012-003)