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电力市场与电力系统交互动态仿真设计
引用本文:薛禹胜,彭慧敏,Q.H. WU.电力市场与电力系统交互动态仿真设计[J].电力系统自动化,2006,30(23):14-20.
作者姓名:薛禹胜  彭慧敏  Q.H. WU
作者单位:1. 国网南京自动化研究院/南京南瑞集团公司,江苏省,南京市,210003;东南大学电气工程系,江苏省,南京市,210096
2. The University of Liverpool,Liverpool,L69 3GJ UK
基金项目:国家重点基础研究发展计划(“973计划”)(2004CB217905);国家自然科学基金项目(50377007; 50595413);国家电网公司科技项目 (SGKJ[2004]392)
摘    要:分析了电力交易市场、投资市场与电力系统的功能关系及其数学描述。借鉴实验经济学方法,将电力市场中能用数学模型表达的环节表达为数学模型,而将参与者的主观行为、市场规则、市场监管行为作为数学模型的输入,在实验环境中动态地交互。定义失稳风险,将输电动态阻塞对交易的物理制约转化为经济上各交易应承担的输电风险。在此基础上,建立电力市场动态过程的仿真器平台,实现电力市场与电力系统动态仿真,并采用市场调节的预交易阻塞管理模式实现电力系统技术问题与电力市场经济问题的协调。

关 键 词:电力市场稳定性  输电阻塞  实验经济学  动态仿真  风险量化
收稿时间:2006-08-25
修稿时间:2006-08-25

Analysis and Simulation of Interaction Between Electricity Market and Power System Dynamics
XUE Yusheng,PENG Huimin,Q.H. WU.Analysis and Simulation of Interaction Between Electricity Market and Power System Dynamics[J].Automation of Electric Power Systems,2006,30(23):14-20.
Authors:XUE Yusheng  PENG Huimin  QH WU
Affiliation:1. Nanjing Automation Research Institute, Nanjing 210003, China; 2. Southeast University, Nanjing 210096, China;3. The University of Liverpool, Liverpool, L69 3GJ UK
Abstract:This paper presents the analysis of the interaction between dynamics of power market, investment market and power systems, and proposes a framework to enable the simulation study. Based on the methodology of experimental economics, on one hand, mathematical models are developed to describe the market structure and market rules, on the other hand, the strategy or decisions of power market participants and independent system operator (ISO) are acted as inputs of the mathematical models to analyse their interactions in the market place. An instability risk is defined to convert the power transmission congestion, applied on the power trading constraints, to the financial risk of the participants. The paper also proposes establishing a simulation platform to implement the simulation study on the interaction between power market and power system dynamics, and to coordinate the solutions to the technical issues of power market and power systems, via a predictive trade congestion management model for market control.
Keywords:power market stability  transmission congestion  experimental economics  dynamic simulation  risk quantification
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