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作 者:曾鸣[1] 王玉萍[1] 王蕾[1] 薛松[1] 何彦英[1]
机构地区:[1]华北电力大学经济与管理学院,北京102206
出 处:《工业工程》2014年第2期12-16,共5页Industrial Engineering Journal
基 金:国家自然科学基金资助项目(71271082);国家软科学研究计划资助项目(2012GXS4B064)
摘 要:在考虑期货市场和日常市场极值的基础上构建agent模型和供给函数均衡(supply function equilibrium,SFE)模型,并针对模型的预测准确程度进行对比分析。以某城市电网中的4个典型工作日为例进行算例分析,结果表明在非用电高峰时段,agent模型对于价格水平和波动性的预测能力较强,而SFE模型可以更准确地预测非高峰时段的电价。The advancement in power system reform promotes an increasingly competitive electricity mar- ket. Under such an environment, based on competitors and personal situation, power generation companies have developed reasonable and effective bidding strategies to maximize profits. By considering extreme val- ue of the future market and the daily market, an agent model and supply function equilibrium (SFE) mod- el are built. Then, the prediction accuracy obtained by the models is compared. With a numerical example of four typical days in a regional grid of some cities, it is shown that, in the non-peak hours, the agent model has a strong forecasting ability of the price level and volatility, while the SFE model can more accu- rately predict off-peak price level.
分 类 号:TM715[电气工程—电力系统及自动化]
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