Consumers' preference based optimal price determination model for P2P energy trading

被引:26
|
作者
Amin, Waqas [1 ]
Huang, Qi [1 ]
Afzal, M. [1 ]
Khan, Abdullah Aman [1 ]
Zhang, Zhenyuan [1 ]
Umer, Khalid [1 ]
Ahmed, Syed Adrees [1 ]
机构
[1] Univ Elect Sci & Technol China, Sch Mech & Elect Engn, Sichuan Prov Key Lab Power Syst Wide Area Measure, Chengdu 611731, Peoples R China
关键词
Energy trading; P2P Energy market; Trading price; Energy allocation policy; Social welfare; Uniform pricing; PEER-TO-PEER; MARKET;
D O I
10.1016/j.epsr.2020.106488
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
With the increase in energy demand and the integration of renewable energy resources, price determination of energy trading in the P2P energy market became more challenging. Participants need a fair mechanism that ensures the basic energy-related objectives i.e. savings on energy bills for consumers and profitability for the seller. To achieve these goals, this paper presents a uniform pricing scheme for energy trading along with energy allocation policy for P2P energy trading market. Based on consumer preferences, a novel method for determining energy trading price is proposed which ensures the increase in utility for consumers (saving in energy bill) and sellers profitability. Considering the fluctuating supply of energy in the P2P energy market, due to the sporadic nature of renewable energy resources, an effective scheme for energy allocation is proposed. The proposed method promotes competition among sellers and brings fairness in the energy market by selecting an optimal price. False declaration from the participants leads to a decrease in utilities. The proposed method provides the necessary information for assessing the consumers' requirements and increase the social welfare of the consumers by reducing the trading prices. Extensive experiments were performed and the results show the effectiveness of the proposed method as the method helps to reduce the energy bills of the consumers and increases the satisfaction level as compared to previously proposed methods.
引用
收藏
页数:12
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