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Pricing Decision Support System for Generation Companies in Electricity Market
作者姓名:Fang Debin  Wang Xianjia
作者单位:[1]BusinessSchoolofWuhanUniversity,Wuhan430072 [2]InstituteofSystemsEngineering,WuhanUniversity,Wuhan430072
基金项目:NationalNaturalScienceFoundation (No .60 2 740 48),HebeiProvinceNaturalScienceFoundation (No .2 0 0 1ABB0 47)
摘    要:In order to meet the requirement of separating power plants from power network and that of the competition based power transaction in power market, the pricing decision support system for generation companies (GCPDSS) is built in electricity market. This paper introduces the conception of intelligent decision support system (IDSS) and puts emphasis on the systematical structural framework,work process, design principal, and fundamental function of GCPDSS. The system has the module to analyze the cost, to forecast the demand of power, to construct the pricing strategies, to manage the pricing risk, and to dispatch giving the pricing strategies.The case study illustrates that the friendly window-based user interface of the system enables the user to take full advantage of the capabilities of the system in order to make effective real-time decisions.

关 键 词:电力市场  成本分析  定价策略  风险管理  经济调度  IDSS

Pricing Decision Support System for Generation Companies in Electricity Market
Fang Debin,Wang Xianjia.Pricing Decision Support System for Generation Companies in Electricity Market[J].Engineering Sciences,2005,3(1):69-73.
Authors:Fang Debin  Wang Xianjia
Institution:Fang Debin 1,Wang Xianjia 2
Abstract:In order to meet the requirement of separating power plants from power network and that of the competition based power transaction in power market, the pricing decision support system for generation companies (GCPDSS) is built in electricity market. This paper introduces the conception of intelligent decision support system (IDSS) and puts emphasis on the systematical structural framework, work process, design principal, and fundamental function of GCPDSS. The system has the module to analyze the cost, to forecast the demand of power, to construct the pricing strategies, to manage the pricing risk, and to dispatch giving the pricing strategies. The case study illustrates that the friendly window-based user interface of the system enables the user to take full advantage of the capabilities of the system in order to make effective real-time decisions.
Keywords:electricity market  cost analysis  pricing strategies  risk management  economic dispatch  intelligent decision support system (IDSS)
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