Demand response modeling considering Interruptible/Curtailable loads and capacity market programs

被引:556
|
作者
Aalami, H. A. [1 ]
Moghaddam, M. Parsa [1 ]
Yousefi, G. R. [1 ]
机构
[1] TMU, Dept Elect Engn, Tehran, Iran
关键词
Elasticity; Demand response; Interruptible/Curtailable service; Capacity market program;
D O I
10.1016/j.apenergy.2009.05.041
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
Recently, a massive focus has been made on demand response (DR) programs, aimed to electricity price reduction, transmission lines congestion resolving, security enhancement and improvement of market liquidity. Basically, demand response programs are divided into two main categories namely, incentive-based programs and time-based programs. The focus of this paper is on Interruptible/Curtailable service (I/C) and capacity market programs (CAP), which are incentive-based demand response programs including penalties for customers in case of no responding to load reduction. First, by using the concept of price elasticity of demand and customer benefit function, economic model of above mentioned programs is developed. The proposed model helps the independent system operator (ISO) to identify and employ relevant DR program which both improves the characteristics of the load curve and also be welcome by customers. To evaluate the performance of the model. simulation study has been conducted using the load curve of the peak day of the Iranian power system grid in 2007. In the numerical study section, the impact of these programs on load shape and load level, and benefit of customers as well as reduction of energy consumption are shown. In addition, by using strategy success indices the results of simulation studies for different scenarios are analyzed and investigated for determination of the scenarios priority. (C) 2009 Elsevier Ltd. All rights reserved.
引用
收藏
页码:243 / 250
页数:8
相关论文
共 50 条
  • [41] Coupled active and reactive market in smart distribution system considering renewable distributed energy resources and demand response programs
    Samimi, Abouzar
    Nikzad, Mehdi
    Kazemi, Ahad
    INTERNATIONAL TRANSACTIONS ON ELECTRICAL ENERGY SYSTEMS, 2017, 27 (04):
  • [42] Smart microgrid operational planning considering multiple demand response programs
    Zakariazadeh, Alireza
    Jadid, Shahram
    JOURNAL OF RENEWABLE AND SUSTAINABLE ENERGY, 2014, 6 (01)
  • [43] Market modeling for assessment of demand side programs using the marginal cost
    Papastamatiou, P
    Psarras, J
    INTERNATIONAL JOURNAL OF ENERGY RESEARCH, 2000, 24 (10) : 887 - 900
  • [44] Modeling of Demand Response in California ISO Market Systems
    Li, Kenny, Sr.
    IEEE POWER AND ENERGY SOCIETY GENERAL MEETING 2010, 2010,
  • [45] Hierarchical and multi-level demand response programme considering the flexibility of loads
    Rajabi, Firouzeh
    Salami, Abolfazl
    Azimi, Maryam
    IET GENERATION TRANSMISSION & DISTRIBUTION, 2020, 14 (06) : 1051 - 1061
  • [46] Research on the impact of demand response programs in day ahead market on the oligarchs in the electricity market
    Gu, Huijie
    Hu, Rong
    He, Xiqi
    Zhou, Huafeng
    2020 ASIA CONFERENCE ON GEOLOGICAL RESEARCH AND ENVIRONMENTAL TECHNOLOGY, 2021, 632
  • [47] Demand response method considering multiple types of flexible loads in industrial parks
    Cui, Jia
    Gao, Mingze
    Zhou, Xiaoming
    Li, Yang
    Liu, Wei
    Tian, Jiazheng
    Zhang, Ximing
    ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE, 2023, 122
  • [48] Intelligent Energy Management of Industrial Loads Considering Participation in Demand Response Program
    Shi J.
    Wen F.
    Cui P.
    Sun L.
    Shang J.
    He Y.
    Dianli Xitong Zidonghue, 14 (45-53): : 45 - 53
  • [49] A Phase Model Based Control of Periodic Deferrable Loads in Demand Response Programs
    Bomela, Walter
    Zlotnik, Anatoly
    Li, Jr-Shin
    2018 IEEE CONFERENCE ON DECISION AND CONTROL (CDC), 2018, : 6507 - 6513
  • [50] Data-Driven Identification of Consumers With Deferrable Loads for Demand Response Programs
    Afzalan, Milad
    Jazizadeh, Farrokh
    IEEE EMBEDDED SYSTEMS LETTERS, 2020, 12 (02) : 54 - 57