Optimal Demand Response and Real-Time Pricing by a Sequential Distributed Consensus-Based ADMM Approach

被引:56
作者
Dinh Hoa Nguyen [1 ,2 ]
Narikiyo, Tatsuo [3 ]
Kawanishi, Michihro [3 ]
机构
[1] Kyushu Univ, Int Inst Carbon Neutral Energy Res, Fukuoka 8190395, Japan
[2] Kyushu Univ, Inst Math Ind, Fukuoka 8190395, Japan
[3] Thyota Technol Inst, Dept Adv Sci & Technol, Nagoya, Aichi 4688511, Japan
关键词
SIDE MANAGEMENT; OPTIMIZATION; ALGORITHM;
D O I
10.1109/TSG.2017.2676179
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
This paper proposes a novel optimization model and a novel approach to derive new demand response (DR) and realtime pricing schemes for smart grid in which renewable energy and power losses are taken into account. In our proposed optimization model, a time-varying load constraint is introduced to better capture the consumption variation of customers and hence gives our approach an adaptive feature as well as facilitates DR. Then our approach enables all generation and demand units to actively collaborate in a distributed manner to obtain the optimal electric price and their optimal power updates in real-time while achieving their best profits. To do so, the total welfare in the grid is maximized and the optimization problem is analytically solved using the alternating direction method of multipliers and consensus theory for multi-agent systems. Moreover, the power balance constraint is guaranteed in every iteration of the proposed algorithm. Next, the effects of renewable energy to conventional generation, consumer consumption, and electric price are theoretically revealed which show the essential role of renewable energy for peak load shifting. Finally, simulations on the IEEE 39-bus system are introduced to illustrate the effectiveness of the proposed approach.
引用
收藏
页码:4964 / 4974
页数:11
相关论文
共 22 条
[1]  
[Anonymous], FOUND TRENDS MACH LE
[2]  
[Anonymous], 2009, SMART GRID INTR
[3]  
[Anonymous], 2006, BENEFITS DEMAND RESP
[4]  
Boyd L., 2004, CONVEX OPTIMIZATION
[5]  
Bzura J. J., 1991, DE91002168 OFF SCI T, P2
[6]   Energy-Efficient Information and Communication Infrastructures in the Smart Grid: A Survey on Interactions and Open Issues [J].
Erol-Kantarci, Melike ;
Mouftah, Hussein T. .
IEEE COMMUNICATIONS SURVEYS AND TUTORIALS, 2015, 17 (01) :179-197
[7]   A survey on residential Demand Side Management architecture, approaches, optimization models and methods [J].
Esther, B. Priya ;
Kumar, K. Sathish .
RENEWABLE & SUSTAINABLE ENERGY REVIEWS, 2016, 59 :342-351
[8]   A demand side management based simulation platform incorporating heuristic optimization for management of household appliances [J].
Gudi, Nikhil ;
Wang, Lingfeng ;
Devabhaktuni, Vijay .
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 2012, 43 (01) :185-193
[9]   Demand side management in a day-ahead wholesale market: A comparison of industrial & social welfare approaches [J].
Jiang, Bo ;
Farid, Amro M. ;
Youcef-Toumi, Kamal .
APPLIED ENERGY, 2015, 156 :642-654
[10]  
Li N., 2011, P IEEE POW EN SOC GE, P1, DOI DOI 10.1109/PES.2011.6039082