电网技术Issue(8)：2141-2148,8.DOI:10.13335/j.1000-3673.pst.2014.08.019
计入电力系统可靠性与购电风险的峰谷分时电价模型
A Peak-Valley TOU Price Model Considering Power System Reliability and Power Purchase Risk
摘要
Abstract
Under the environment of power market, according the customers’ demand response to multi interval electricity prices and based on the equilibrium relationship between power supply and its elastic demand a price elasticity matrix under peak-valley time-of-use(TOU) price is derived to reflect consumers’ response to the variation of electricity price. On this basis, taking the maximized revenue of grid corporation as objective function and considering the constraint of reliability, power purchase risk, network loss and so on, a peak-valley TOU price model is built. Through adjusting TOU price, the built model can achieve following aims such as improving power supply reliability of power grid, reduce outage cost, increasing the revenue of power grid corporation and decreasing the power purchase risk, thus a win-win situation of consumers and grid corporation can be attained. To accelerate the update rate of reliability index during the solution of the built model, a cubic spline interpolation model is established to describe power grid reliability varying with load level. To validate the correctness and effectiveness of above-mentioned models, simulation of IEEE RTS -79 is carried out, and the improved effect of load curve under peak-valley TOU price as well as the outage cost and variation of power grid corporation are further analyzed.关键词
峰谷分时电价/多时段响应/电量电价弹性矩阵/可靠性/购电风险/三次样条插值Key words
peak-valley time-of-use price/cross-time load response/price elasticity matrix of demand/reliability/power purchase risk/cubic spline interpolation分类
信息技术与安全科学引用本文复制引用
陈沧杨,胡博,谢开贵,万凌云,向彬..计入电力系统可靠性与购电风险的峰谷分时电价模型[J].电网技术,2014,(8):2141-2148,8.基金项目
国家863高技术基金项目(2011AA05A107)；国家自然科学基金项目(51377178，51307185)；重庆市自然科学基金项目(CSTC2012JJA90004)。The National High Technology Research and Development of China 863 Program(2011AA05A107) （2011AA05A107）
Project Supported by National Natural Science Foundation of China(51377178，51307185) （51377178，51307185）
