A Survey on Energy Trading in Smart Grid

被引：0

作者：

Bayram, I. Safak ^{[1
]}

Shakir, Muhammad Z. ^{[1
]}

Abdallah, Mohamed ^{[1
]}

Qaraqe, Khalid ^{[1
]}

机构：

[1] Texas A&M Univ Qatar, Dept Elect & Comp Engn, Doha, Qatar

来源：

2014 IEEE GLOBAL CONFERENCE ON SIGNAL AND INFORMATION PROCESSING (GLOBALSIP) | 2014年

关键词：

MICROGRIDS; MANAGEMENT; NETWORK; STORAGE;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

As the distributed energy generation and storage technologies are becoming economically viable, energy trading is gradually becoming a profit making option for end-users. This trend is further supported by the regulators and the policy makers as it aids the efficiency of power grid operations, reduces power generation cost and the Green House Gas (GHG) emissions. To that end, in this paper we provide an overview of distributed energy trading concepts in smart grid. First, we identify the motivation and the desired outcomes of energy trading framework. Then we present the enabling technologies that are required to generate, store, and communicate with the trading agencies. Finally, we survey on the existing literature and present an array of mathematical frameworks employed.

引用

页码：258 / 262

页数：5

共 50 条

[31] Energy Trading in the Smart Grid: From End-user's Perspective
Chen, Shengbo
Shroff, Ness B.
Sinha, Prasun
[J]. 2013 ASILOMAR CONFERENCE ON SIGNALS, SYSTEMS AND COMPUTERS, 2013, : 327 - 331
[32] Energy Trading in Smart Grid: A Deep Reinforcement Learning-based Approach
Zhang, Feiye
Yang, Qingyu
[J]. PROCEEDINGS OF THE 32ND 2020 CHINESE CONTROL AND DECISION CONFERENCE (CCDC 2020), 2020, : 3677 - 3682
[33] Bidirectional Energy Trading and Residential Load Scheduling with Electric Vehicles in the Smart Grid
Kim, Byung-Gook
Ren, Shaolei
van der Schaar, Mihaela
Lee, Jang-Won
[J]. IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS, 2013, 31 (07) : 1219 - 1234
[34] RETINA: Distributed and secure trust management for smart grid applications and energy trading
Bolgouras, Vaios
Ioannidis, Thodoris
Politis, Ilias
Zarras, Apostolis
Xenakis, Christos
[J]. SUSTAINABLE ENERGY GRIDS & NETWORKS, 2024, 38
[35] ElectroBlocks: A blockchain-based energy trading scheme for smart grid systems
Tanwar, Sudeep
Kaneriya, Shriya
Kumar, Neeraj
Zeadally, Sherali
[J]. INTERNATIONAL JOURNAL OF COMMUNICATION SYSTEMS, 2020, 33 (15)
[36] Privacy-Preserving Energy Trading Using Consortium Blockchain in Smart Grid
Gai, Keke
Wu, Yulu
Zhu, Liehuang
Qiu, Meikang
Shen, Meng
[J]. IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2019, 15 (06) : 3548 - 3558
[37] ENTICE: Agent-based energy trading with incomplete information in the smart grid
Misra, Sudip
Bera, Samaresh
Ojha, Tamoghna
Zhou, Liang
[J]. JOURNAL OF NETWORK AND COMPUTER APPLICATIONS, 2015, 55 : 202 - 212
[38] Deep Reinforcement Learning Based Coalition Formation for Energy Trading in Smart Grid
Sadeghi, Mohammad
Erol-Kantarci, Melike
[J]. 2021 IEEE 4TH 5G WORLD FORUM (5GWF 2021), 2021, : 200 - 205
[39] Optimal Fuzzy Energy Trading System in a Fog-Enabled Smart Grid
Shahzad, Khuram
Iqbal, Sohail
Mukhtar, Hamid
[J]. ENERGIES, 2021, 14 (04)
[40] A Survey on Smart Grid
Cecilia, Arockia A.
Sudarsanan, K.
[J]. FIRST INTERNATIONAL CONFERENCE ON EMERGING TRENDS IN ENGINEERING, TECHNOLOGY AND SCIENCE - ICETETS 2016, 2016,

← 1 2 3 4 5 →