Research on Real-Time Trading Mechanism of Photovoltaic Microgrid Based on the Consortium Blockchain

Author:

Wei Liangjiang1,Jian Wei1,Fu Baochuan1,Jiang Baoping1

Affiliation:

1. School of Electronic and Information Engineering, Suzhou University of Science and Technology, Suzhou 215009, China

Abstract

With the popularity of solar Photovoltaic (PV) power generation, the real-time interaction between distributed microgrids and large grids has become a new hotspot of concern. In distributed PV power trading, we aim to achieve a dynamic balance between PV users and the grid. This involves real-time power prediction for users, secure blockchain-based recording and protection of trading data, and efficient matching of microgrid and large-grid trading information, including pricing details. System simulations and experimental data analysis have demonstrated the benefits of this transaction model, including enhanced real-time interaction between microgrid and grid. For the buyer, the cost of purchasing electricity can be reduced by about 6%, and for the seller, the income from selling electricity is 1.5 times that of direct Internet access, which has positive significance in improving the income from selling electricity and reducing the cost of electricity for users.

Funder

National Natural Science Foundation

Publisher

MDPI AG

Subject

Energy (miscellaneous),Energy Engineering and Power Technology,Renewable Energy, Sustainability and the Environment,Electrical and Electronic Engineering,Control and Optimization,Engineering (miscellaneous),Building and Construction

Reference27 articles.

1. (2022). China’s grid-connected installed capacity of PV power generation has exceeded 300 million kilowatts, ranking first in the world for seven consecutive years. China Environ. Superv., 6, Available online: https://kns.cnki.net/kcms2/article/abstract?v=j6HAoO1nZAxdkHtNyiCGte-bN4bUjih2Tcd0Xx6XGS5joS5-pXszEakP0gdWkfFTPh03XDBc6nJot3Ac3dHo3qVm-ycJ1TH-Digobym-PL4lo1cZag6HWpwr3avMqXymRCSeoNvHyF1Bi8L_3I2WWQ==&uniplatform=NZKPT&language=CHS.

2. Research on game model of PV micro-grid trans action based on block chain;Lu;Electr. Meas. Instrum.,2020

3. Lucas, A., Geneiatakis, D., Soupionis, Y., Nai-Fovino, I., and Kotsakis, E. (2021). Blockchain Technology Applied to Energy Demand Response Service Tracking and Data Sharing. Energies, 14.

4. Microgrids energy management systems: A critical review on methods, solutions, and prospects;Zia;Appl. Energy,2018

5. He, Q., Wu, M., Sun, P., Guo, J., Chen, L., Jiang, L., and Zhang, Z. (2022). Research on a Charging Mechanism of Electric Vehicles for PV Nearby Consumption Strategy. Electronics, 11.

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3