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兼顾计划与市场环境的电力规划决策与评估系统
引用本文:周安石,杨高峰,洪元瑞,黄俊辉,张谦,康重庆.兼顾计划与市场环境的电力规划决策与评估系统[J].中国电力,2004,37(11):6-9.
作者姓名:周安石  杨高峰  洪元瑞  黄俊辉  张谦  康重庆
作者单位:1. 清华大学,电机系,北京,100084
2. 江苏省电力设计院,江苏,南京,210024
基金项目:国家自然科学基金资助项目(50377016) 清华大学基础研究基金资助课题(JC2002018)
摘    要:分析电力市场对规划决策与评估提出的新要求,提出兼顾计划与市场环境的电力规划决策与评估系统的总体方案和核心思想,设计了以日运行评估为基础的决策方法。采用高性能网络数据库作为后台数据支持,建立可集中管理历史与规划的电源、电网、负荷等技术与经济数据的软件平台,实现决策与评估。该系统适应电力系统规划在电力市场环境下的新要求,可为我国电力市场过渡期的规划决策,特别是目前缺电状况下的电源有序建设提供有力的支持工具。

关 键 词:电力系统规划  生产模拟  决策  评估
文章编号:1004-9649(2004)11-0006-04
修稿时间:2004年7月8日

Decision and evaluation platform of power system planning applicable for both regulated and deregulated environment
OU An-shi,YANG Gao-feng,HONG Yuan-rui,HUANG Jun-hui,ZHANG Qian,KANG Chong-qing.Decision and evaluation platform of power system planning applicable for both regulated and deregulated environment[J].Electric Power,2004,37(11):6-9.
Authors:OU An-shi  YANG Gao-feng  HONG Yuan-rui  HUANG Jun-hui  ZHANG Qian  KANG Chong-qing
Abstract:sed on the analysis of the new requirements involved in power system planning under market-oriented restructuring, power system planning decision-making and evaluation system is proposed and designed which is applicable for both the regulated and deregulated environments. The detailed evaluation process is presented based on daily optimal operation. High-performance network database is utilized as the background data support so that an integrated software platform is established which can manage the economical and technical data of generating units, power grid and system load. This is the basis of decision-making and evaluation. The system is applicable for the power system planning under the environment of power market. It can serve as an effective supporting tool for the decision-making during the transitional period towards power market. What is more important is that, it can help to guarantee the rationality of construction of electric power plant in current situation that is short of electricity. The system has been put into application in certain electrical department.
Keywords:wer system planning  production simulation  decision  evaluation
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