Distributed Optimal Coordination of a Virtual Power Plant with Residential Regenerative Electric Heating Systems

被引：0
作者：
Yang, Guixing [1 ,2 ]
Liu, Haoran [3 ]
Wang, Weiqing [1 ]
Chen, Junru [1 ]
Lei, Shunbo [3 ]
机构：
[1] Xinjiang Univ, Engn Res Ctr, Minist Educ Renewable Energy Generat & Grid Connec, Urumqi 830046, Peoples R China
[2] State Grid Xinjiang Elect Power Co Ltd, Urumqi 830002, Peoples R China
[3] Chinese Univ Hong Kong, Sch Sci & Engn, Shenzhen 518172, Peoples R China
来源：
ENERGIES | 2023年 / 16卷 / 11期
基金：
国家重点研发计划;
关键词：
virtual power plant; regenerative electric heating systems; ADMM; ENERGY MANAGEMENT; DEMAND; TIME; OPTIMIZATION; ALGORITHMS; RESOURCES; STRATEGY; DISPATCH; MODEL;
D O I：
10.3390/en16114314
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：
Renewable energy sources play a key role in the transition towards clean and affordable energy. However, grid integration of renewable energy sources faces many challenges due to its intermittent nature. The controllability of aggregated regenerative electric heating load provides a method for the consumption of renewable energy sources. Based on the concept of a virtual power plant (VPP), this paper considers the cooperative energy management of aggregated residential regenerative electric heating systems. First, considering physical constraints, network constraints, and user comfort, comprehensive modeling of a VPP is given to maximize its social benefits. In addition, this VPP is investigated as a participant in day-ahead energy and reserve markets. Then, to solve this problem, a distributed coordination approach based on an alternating direction method of multipliers (ADMM) is proposed, which can respect the independence of users and preserve their privacy. Finally, the simulation results illustrate the effectiveness of our algorithm.
引用
收藏
页数：15
相关论文
共 44 条
[21]   Using peer-to-peer energy-trading platforms to incentivize prosumers to form federated power plants [J].
Morstyn, Thomas ;
Farrell, Niall ;
Darby, Sarah J. ;
McCulloch, Malcolm D. .
NATURE ENERGY, 2018, 3 (02) :94-101
[22]   Double-Consensus-Based Distributed Energy Management in a Virtual Power Plant [J].
Naina, P. M. ;
Swarup, K. S. .
IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS, 2022, 58 (06) :7047-7056
[23]   Consumer demand for time of use electricity tariffs: A systematized review of the empirical evidence [J].
Nicolson, Moira L. ;
Fell, Michael J. ;
Huebner, Gesche M. .
RENEWABLE & SUSTAINABLE ENERGY REVIEWS, 2018, 97 :276-289
[24]   Electrical energy management in unbalanced distribution networks using virtual power plant concept [J].
Othman, Mahmoud M. ;
Hegazy, Y. G. ;
Abdelaziz, Almoataz Y. .
ELECTRIC POWER SYSTEMS RESEARCH, 2017, 145 :157-165
[25]   Offering model for a virtual power plant based on stochastic programming [J].
Pandzic, Hrvoje ;
Morales, Juan M. ;
Conejo, Antonio J. ;
Kuzle, Igor .
APPLIED ENERGY, 2013, 105 :282-292
[26]   Coordinated Scheduling of Residential Distributed Energy Resources to Optimize Smart Home Energy Services [J].
Pedrasa, Michael Angelo A. ;
Spooner, Ted D. ;
MacGill, Iain F. .
IEEE TRANSACTIONS ON SMART GRID, 2010, 1 (02) :134-143
[27]   Virtual power plant and system integration of distributed energy resources [J].
Pudjianto, D. ;
Ramsay, C. ;
Strbac, G. .
IET RENEWABLE POWER GENERATION, 2007, 1 (01) :10-16
[28]   A Direct Load Control Model for Virtual Power Plant Management [J].
Ruiz, Nerea ;
Cobelo, Inigo ;
Oyarzabal, Jose .
IEEE TRANSACTIONS ON POWER SYSTEMS, 2009, 24 (02) :959-966
[29]   Noncooperative Equilibrium-Seeking in Distributed Energy Systems Under AC Power Flow Nonlinear Constraints [J].
Scarabaggio, Paolo ;
Carli, Raffaele ;
Dotoli, Mariagrazia .
IEEE TRANSACTIONS ON CONTROL OF NETWORK SYSTEMS, 2022, 9 (04) :1731-1742
[30]   Advanced control framework of regenerative electric heating with renewable energy based on multi-agent cooperation [J].
Shen R. ;
Zhong S. ;
Zheng R. ;
Yang D. ;
Xu B. ;
Li Y. ;
Zhao J. .
Energy and Buildings, 2023, 281
12345