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Modeling the effects of demand response on generation expansion planning in restructured power systems
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  • 作者:Mahdi Samadi ; Mohammad Hossein Javidi…
  • 关键词:Demand response ; Generation expansion planning ; Responsive demand ; TM715
  • 刊名:Frontiers of Information Technology & Electronic Engineering
  • 出版年:2013
  • 出版时间:December 2013
  • 年:2013
  • 卷:14
  • 期:12
  • 页码:966-976
  • 全文大小:619 KB
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  • 作者单位:Mahdi Samadi (1)
    Mohammad Hossein Javidi (1)
    Mohammad Sadegh Ghazizadeh (1) (2)

    1. Department of Electrical Engineering, Ferdowsi University of Mashhad, Mashhad, Iran
    2. Department of Electrical Engineering, Power and Water University of Technology, Tehran, Iran
  • 刊物类别:Computer Science, general; Electrical Engineering; Computer Hardware; Computer Systems Organization
  • 刊物主题:Computer Science, general; Electrical Engineering; Computer Hardware; Computer Systems Organization and Communication Networks; Electronics and Microelectronics, Instrumentation; Communications Engine
  • 出版者:Zhejiang University Press
  • ISSN:2095-9230
文摘
Demand response is becoming a promising field of study in operation and planning of restructured power systems. More attention has recently been paid to demand response programs. Customers can contribute to the operation of power systems by deployment demand response. The growth of customers-participation in such programs may affect the planning of power systems. Therefore, it seems necessary to consider the effects of demand response in planning approaches. In this paper, the impact of demand responsiveness on decision making in generation expansion planning is modeled. Avoidance or deferment in installation of new generating units is comprehensively investigated and evaluated by introducing a new simple index. The effects of demand responsiveness are studied from the points of view of both customers and generation companies. The proposed model has been applied to a modified IEEE 30-bus system and the results of the study are discussed. Simulation results show that reducing just 3% of the customers-demand (due to price elasticity) may result in a benefit of about 10% for customers in the long term. Key words Demand response Generation expansion planning Responsive demand

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