Strategic demand response framework for energy management in distribution system based on network loss sensitivity

被引:2
作者
Kumar, Sampath [1 ]
Sushama, M. [2 ]
机构
[1] BEC, Dept Elect & Elect Engn, Bapatla 522101, India
[2] JNTUH, Dept Elect & Elect Engn, Hyderabad, India
关键词
Demand response; network loss sensitivity; distribution system; loss minimization; voltage profile; PLACEMENT; MODEL; GENERATION; ALGORITHM;
D O I
10.1177/0958305X19893041
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
This paper discusses an energy management system-based demand response scheduling strategy in distribution system. The proposed strategy includes customer payment minimization and network loss minimization as responsive load scheduling objectives through centralized approach. Two types of optimization strategies each based on payment minimization and network loss sensitivity are discussed in this paper. Thus, the proposed scheduling strategy can effectively resolve the optimality issue between different objectives of the distribution system scheduling under demand response penetration. The demand response scheduling strategies are simulated using standard IEEE 37 bus distribution test system through different cases of scheduling and optimization scenarios. The simulation results are presented, discussed, and compared with the base test cases without demand response penetration and without optimization strategies under demand response penetration to demonstrate the effectiveness of network loss, sensitivity consideration and optimization strategies in carrying out distribution system scheduling. In addition, sensitivity analysis is performed. The variation of distribution network performance is analyzed for various test cases and scenarios at different penetration levels.
引用
收藏
页码:1385 / 1402
页数:18
相关论文
共 40 条
[1]   Optimal capacitor placement in distribution systems for power loss reduction and voltage profile improvement [J].
Abou El-Ela, Adel Ali ;
El-Sehiemy, Ragab A. ;
Kinawy, Abdel-Mohsen ;
Mouwafi, Mohamed Taha .
IET GENERATION TRANSMISSION & DISTRIBUTION, 2016, 10 (05) :1209-1221
[2]  
Atanackovic D., 2012, 2012 IEEE POW EN SOC, P1
[3]   System-Level Power Loss Sensitivity to Various Control Variables in Vector-Controlled Induction Motor Drives [J].
Bazzi, Ali M. ;
Buyukdegirmenci, Veysel T. ;
Krein, Philip T. .
IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS, 2013, 49 (03) :1367-1373
[4]   Optimal scheduling of power systems considering demand response [J].
Bie, Zhaohong ;
Xie, Haipeng ;
Hu, Guowei ;
Li, Gengfeng .
JOURNAL OF MODERN POWER SYSTEMS AND CLEAN ENERGY, 2016, 4 (02) :180-187
[5]  
Boyd S., 2004, CONVEX OPTIMIZATION, P127
[6]   The competitive model based on the demand response in the off-peak period for the Taipower system [J].
Chu, Wen-Chen ;
Chen, Yi-Ping ;
Lin, Tzu-Hao .
IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS, 2008, 44 (04) :1303-1307
[7]   Distributed Real-Time Demand Response in Multiseller-Multibuyer Smart Distribution Grid [J].
Deng, Ruilong ;
Yang, Zaiyue ;
Hou, Fen ;
Chow, Mo-Yuen ;
Chen, Jiming .
IEEE TRANSACTIONS ON POWER SYSTEMS, 2015, 30 (05) :2364-2374
[8]   Appliance Commitment for Household Load Scheduling [J].
Du, Pengwei ;
Lu, Ning .
IEEE TRANSACTIONS ON SMART GRID, 2011, 2 (02) :411-419
[9]   Analytical approach for placement and sizing of distributed generation on distribution systems [J].
Elsaiah, Salem ;
Benidris, Mohammed ;
Mitra, Joydeep .
IET GENERATION TRANSMISSION & DISTRIBUTION, 2014, 8 (06) :1039-1049
[10]   A review of residential demand response of smart grid [J].
Haider, Haider Tarish ;
See, Ong Hang ;
Elmenreich, Wilfried .
RENEWABLE & SUSTAINABLE ENERGY REVIEWS, 2016, 59 :166-178