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考虑用户满意度的需求侧管理价格决策模型 被引量:60

PRICE BASED DECISION MAKING FOR DEMAND SIDE MANAGEMENT CONSIDERING CUSTOMER SATISFACTION INDEX
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摘要 开放需求侧,引入需求侧的价格弹性,利用价格手段实现负荷调控,是电力市场发展的必由之路。作者在用电价格弹性的基础上,分析了不同类别负荷对电价变化的不同响应,建立了统一的用户反应度模型,从而客观地描述各时段负荷大小与整个计算周期内各时段电价之间的关系;通过对用户电力消费行为的分析,提出了一种用户满意度的量化方法;基于上述结果,建立了考虑用户满意度的DSM价格决策模型。文中通过一个具体算例,探讨了市场环境下利用价格手段进行负荷控制的可能性。 The retail market will be opened and demand elasticity should be considered in the further electricity market evolution. So that, the electric power loads should be controlled autonomously by consumers themselves according to price signals. After analyzing the price elasticity of power demands and the reaction of different types of load consumers to the electricity price, a new unified reaction model is proposed to formulate the relationship between load level and electricity price within the calculating periods. Then, a method is presented to calculate Customer Satisfaction Index (CSI), which is based on the analysis of the consumption behavior of load customers. Finally, a price based DSM optimization model is proposed in this paper, which takes CSI into consideration. The numeric example shows the feasibility and potential of applying the proposed models to manage load demands through price signals in market-based environment.
机构地区 清华大学电机系
出处 《电网技术》 EI CSCD 北大核心 2004年第23期1-6,共6页 Power System Technology
基金 国家自然科学基金资助项目(50377016)~~
关键词 价格决策 用户满意度 价格手段 用电价格 需求侧管理 电力市场 电力消费 负荷控制 时段 DSM Costs Customer satisfaction Decision making Electric industry Marketing Mathematical models
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参考文献4

  • 1Samuelson P A, Nordhau s W D. Microeconomics[M]. McGraw-hill Companies, 1998.
  • 2Chattopadhyay D, Banerjee R, Parikh J. Integrating demand side options in electric utility planning: a multi-objective approach[J]. IEEE Trans on Power Systems, 1995, 10(2): 657-663.
  • 3Panagiotis p, Psarras J. Market modeling for assessment of demand side programs using the marginal cost[J]. International Journal of Energy Research, 2000, 24(10): 887-900.
  • 4Alvarez Carlos, Gabaldon Antonio, Molina Angel. Assessment and simulation of the responsive demand potential in end-user facilities: Application to a university customer[J]. IEEE Transactions on Power Systems, 2004, 19(2): 1223-1231.

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