Please wait a minute...
FITEE
Front. Inform. Technol. Electron. Eng.  2013, Vol. 14 Issue (12): 966-976    DOI: 10.1631/jzus.C1300008
    
Modeling the effects of demand response on generation expansion planning in restructured power systems
Mahdi Samadi, Mohammad Hossein Javidi, Mohammad Sadegh Ghazizadeh
Department of Electrical Engineering, Ferdowsi University of Mashhad, Mashhad, Iran; Department of Electrical Engineering, Power and Water University of Technology, Tehran, Iran
Modeling the effects of demand response on generation expansion planning in restructured power systems
Mahdi Samadi, Mohammad Hossein Javidi, Mohammad Sadegh Ghazizadeh
Department of Electrical Engineering, Ferdowsi University of Mashhad, Mashhad, Iran; Department of Electrical Engineering, Power and Water University of Technology, Tehran, Iran
 全文: PDF 
摘要： 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.
关键词： Demand response;  Generation expansion planning;  Responsive demand    
Abstract: 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
收稿日期: 2013-01-08 出版日期: 2013-12-06
CLC:  TM715  
服务　　
把本文推荐给朋友
加入引用管理器
E-mail Alert
RSS
作者相关文章　　
Mahdi Samadi
Mohammad Hossein Javidi
Mohammad Sadegh Ghazizadeh

引用本文:

Mahdi Samadi, Mohammad Hossein Javidi, Mohammad Sadegh Ghazizadeh. Modeling the effects of demand response on generation expansion planning in restructured power systems. Front. Inform. Technol. Electron. Eng., 2013, 14(12): 966-976.

链接本文:

http://www.zjujournals.com/xueshu/fitee/CN/10.1631/jzus.C1300008    或    http://www.zjujournals.com/xueshu/fitee/CN/Y2013/V14/I12/966

[1] Rongrit Chatthaworn, Surachai Chaitusaney. 一种评估间歇式可再生能源对输电网扩展规划影响的方法[J]. Front. Inform. Technol. Electron. Eng., 2015, 16(10): 871-882.
[2] J. A. Laghari, H. Mokhlis, M. Karimi, A. H. A. Bakar, Hasmaini Mohamad. 一种微型水电站分布式电网的新型孤岛操作技术[J]. Front. Inform. Technol. Electron. Eng., 2015, 16(5): 418-427.
[3] Shan Cheng, Min-you Chen, Rong-jong Wai, Fang-zong Wang. 基于改进多目标粒子群优化算法的分布式发电在配电网中的优化配置[J]. Front. Inform. Technol. Electron. Eng., 2014, 15(4): 300-311.