scholarly journals Peer-to-Peer Energy Trading in Microgrids and Local Energy Systems

2021 ◽  
Author(s):  
Yue Zhou ◽  
Jianzhong Wu
Keyword(s):  
Energy Systems ◽  
Economic Benefits ◽  
Peer To Peer ◽  
Local Energy ◽  
Energy Trading ◽  
General Evaluation ◽  
Trading Mechanisms ◽  
Ict Infrastructure ◽  
Trade And Exchange ◽  
Key Aspects

Peer-to-peer (P2P) energy trading is an innovative approach for managing increasing numbers of Distributed Energy Resources in microgrids or local energy systems. In P2P energy trading, prosumers and consumers directly trade and exchange power and energy with each other. The development of P2P energy trading is described in five key aspects, that is, market design, trading platforms, power and ICT infrastructure, regulation and policy, and from a social science perspective. A general multiagent framework is established to simulate the behaviour of and interaction between multiple entities in P2P energy trading. A general evaluation index hierarchy is proposed to assess various P2P energy trading mechanisms. Finally, a residential community that is set in the context of Great Britain is studied using multiagent simulation and hierarchical evaluation methods. Both the technical and economic benefits of P2P energy trading are demonstrated.

5G Wireless Networks in the Future Renewable Energy Systems

2021 ◽  
Vol 9 ◽  
Author(s):  
Wadim Strielkowski ◽  
Marek Dvořák ◽  
Patrik Rovný ◽  
Elena Tarkhanova ◽  
Natalia Baburina
Keyword(s):  
Wireless Networks ◽  
Renewable Energy ◽  
Energy Systems ◽  
Economic Benefits ◽  
Peer To Peer ◽  
Green Economy ◽  
Optimal Management ◽  
Demand Side ◽  
The Future ◽  
Demand Side Response

This paper focuses on the strategies that employ the fifth generation (5G) wireless networks in the optimal management of demand-side response in the future energy systems with the high penetration of renewable energy sources (RES). It also provides a comparison between advantages and challenges of 5G networks in demand-response renewable energy grids. Large-scale renewable energy integration always leads to a mismatch between generation and load demand in the short run due to the intermittency. It is often envisioned that 5G wireless networks that were recently launched and would most likely be fully deployed worldwide by 2035 would bring many technological and economic benefits for a plethora of the future high-renewables grids featuring electric transport and heating as well as prosumers generating renewable energy and trading it back to the grid (for example, in the vehicle-to-grid (V2G) framework) and among themselves using peer-to-peer (P2P) networks. Our paper offers a comprehensive analysis of 5G architecture with the perspectives of optimal management of demand-side response in the smart grids of the future. We show that the effective deployment of faster and more reliable wireless networks would allow faster data transfers and processing, including peer-to-peer (P2P) energy trade market, Internet of Vehicles (IoV) market, or faster smart metering, and thence open the path for the full-fledged Internet of Energy (IoE). Moreover, we show that 5G wireless networks might become in the future sustainable energy systems paving the road to even more advanced technologies and the new generations of networks. In addition, we demonstrate that for the effective management of energy demand-side response with a high share of renewables, certain forms of governments funding and incentives might be needed. These are required to strengthen the support of RES and helping to shift to the green economy.

Blockchain-based Fully Peer-to-Peer Energy Trading Strategies for Residential Energy Systems

2021 ◽  
pp. 1-1
Author(s):  
Tarek Alskaif ◽  
Jose Luis Crespo-Vazquez ◽  
Milos Sekuloski ◽  
Gijs van Leeuwen ◽  
Joao P. S. Catalao
Keyword(s):  
Energy Systems ◽  
Peer To Peer ◽  
Trading Strategies ◽  
Residential Energy ◽  
Energy Trading

scholarly journals Application of blockchain in integrated energy system transactions

2020 ◽  
Vol 165 ◽  
pp. 01014
Author(s):  
Jianhua Liu ◽  
Shengbo Sun ◽  
Zheng Chang ◽  
Bo Zhou ◽  
Yongli Wang ◽  
...  
Keyword(s):  
Energy Systems ◽  
Energy System ◽  
Peer To Peer ◽  
Energy Trading ◽  
Integrated Energy Systems ◽  
Blockchain Technology ◽  
Centralized Management ◽  
Trading Model ◽  
Integrated Energy System ◽  
Management Method

Blockchain technology is the underlying technology of Bitcoin, which is fair, transparent and decentralized. The integrated energy system has the characteristics of open interconnection, user-centered and distributed peer-to-peer sharing, and its energy trading model will also be developed centrally to distributed. The characteristics of blockchain technology make it naturally applicable to energy transactions in integrated energy systems. This article first analyzes the characteristics of the integrated energy system market and summarizes the participants in the market. Then, based on the existing research and analysis, a blockchain-based energy transaction architecture is designed, and a weakly centralized management method is introduced. finally, the problems and challenges faced by the application of blockchain in energy transactions are analyzed.

scholarly journals Optimal Configuration of Multi-type Energy Storage for Integrated Energy System Considering Multi-energy Trading With Load Substitution

2021 ◽  
Vol 237 ◽  
pp. 02016
Author(s):  
Jun Wang ◽  
Wei Du ◽  
Dongmei Yang ◽  
Guoxin He ◽  
Xiaochen Zhang
Keyword(s):  
Energy Storage ◽  
Energy Systems ◽  
Energy System ◽  
Economic Benefits ◽  
Optimal Configuration ◽  
Configuration Model ◽  
Energy Trading ◽  
Integrated Energy Systems ◽  
Integrated Energy System ◽  
The Impact

How to consider the impact of load substitution on user-side participating in multi-energy trading on system operation when configuring multi-type energy storage (MES) is an urgent problem that needs to be solved to improve the economics and energy efficiency of the integrated energy systems (IES). This paper presents an optimal configuration method of MES considering multi-energy trading with load substitution based on the characteristics of different energy supply seasons. Firstly, the multi-energy trading framework and MES configuration principle are proposed based on the structure of the IES. Secondly, a MES optimal configuration model for IES considering multi-energy trading with load substitution is established, then the IES trading strategies and MES planning schemes are solved. Finally, the proposed method is verified by an example. The results show that the proposed method reduces the MES configuration cost by 8.9%. It can be seen that the MES configuration method proposed in this paper is helpful to repair the limitations of energy storage configuration research in IES and improve the economic benefits of the system.

scholarly journals Multi-Agent Reinforcement Learning for Automated Peer-to-Peer Energy Trading in Double-Side Auction Market

2021 ◽  
Author(s):  
Dawei Qiu ◽  
Jianhong Wang ◽  
Junkai Wang ◽  
Goran Strbac
Keyword(s):  
Reinforcement Learning ◽  
Electricity Market ◽  
Smart Grids ◽  
Public Information ◽  
Economic Benefits ◽  
Peer To Peer ◽  
The Other ◽  
Energy Trading ◽  
Utility Company ◽  
Multi Agent

With increasing prosumers employed with distributed energy resources (DER), advanced energy management has become increasingly important. To this end, integrating demand-side DER into electricity market is a trend for future smart grids. The double-side auction (DA) market is viewed as a promising peer-to-peer (P2P) energy trading mechanism that enables interactions among prosumers in a distributed manner. To achieve the maximum profit in a dynamic electricity market, prosumers act as price makers to simultaneously optimize their operations and trading strategies. However, the traditional DA market is difficult to be explicitly modelled due to its complex clearing algorithm and the stochastic bidding behaviors of the participants. For this reason, in this paper we model this task as a multi-agent reinforcement learning (MARL) problem and propose an algorithm called DA-MADDPG that is modified based on MADDPG by abstracting the other agents’ observations and actions through the DA market public information for each agent’s critic. The experiments show that 1) prosumers obtain more economic benefits in P2P energy trading w.r.t. the conventional electricity market independently trading with the utility company; and 2) DA-MADDPG performs better than the traditional Zero Intelligence (ZI) strategy and the other MARL algorithms, e.g., IQL, IDDPG, IPPO and MADDPG.

Peer-To-Peer Decentralised Local Energy Trading Markets Using Blockchain

2021 ◽  
Author(s):  
Jayati Shrivastava ◽  
Srasti Sethi ◽  
Tanisha Sahu ◽  
Urjita Sharma ◽  
Gnana Lakshmi T C ◽  
...  
Keyword(s):  
Peer To Peer ◽  
Local Energy ◽  
Energy Trading
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