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基于多时-空运行的光伏系统辅助服务对电网能效支撑机制研究。

Research on supporting mechanism of ancillary service of PV system to grid energy efficiency based on multi-time and space-time operation.

机构信息

School of Economics and Management, Hubei Polytechnic University, Huangshi, China.

School of Economics, Henan University, Kaifeng, China.

出版信息

PLoS One. 2022 May 13;17(5):e0268173. doi: 10.1371/journal.pone.0268173. eCollection 2022.

DOI:10.1371/journal.pone.0268173
PMID:35560152
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9106158/
Abstract

Under the background of high-energy penetration of new energy into the power grid, this paper takes the ancillary service capability of photovoltaic energy integrated into the grid as the starting point and builds a photovoltaic system reactive power service impact evaluation model on the grid energy efficiency. This is based on the multi-temporal and spatial scale operation mode, in order to study the supporting principles of photovoltaic system reactive power services on the energy efficiency of grid operation and the law of influence on system energy efficiency changes. In this way, the space for power system energy efficiency improvement and the reactive power service market value of renewable energy are explored to improve the renewable energy auxiliary services participation in the theoretical system of electric power spot market transactions. The research conclusions can provide a decision-making reference for system dynamic energy efficiency management and can assist relevant market entities to make optimal decisions in spot market transactions, and provide empirical data for improving the theory of renewable energy participation in auxiliary service market transactions.

摘要

在新能源高能量密度接入电网的背景下,本文以光伏并网的无功支撑能力为切入点,构建计及多时空尺度运行模式的光伏系统无功服务对电网能效影响评估模型,旨在研究光伏系统无功服务对电网运行能效的支撑原理和对系统能效变化的影响规律。以此拓展了电力系统能效提升空间和挖掘可再生能源无功服务市场价值,完善了新能源参与电力现货市场交易的理论体系。研究结论可为系统动态能效管理提供决策参考,辅助相关市场主体在现货市场交易中做出最优决策,为完善可再生能源参与辅助服务市场交易理论提供实证数据。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/50f0/9106158/e9b8b432f7c4/pone.0268173.g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/50f0/9106158/03996ebe2def/pone.0268173.g001.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/50f0/9106158/369400a74639/pone.0268173.g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/50f0/9106158/ea63e35bcd08/pone.0268173.g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/50f0/9106158/e485d8b6f60f/pone.0268173.g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/50f0/9106158/e9b8b432f7c4/pone.0268173.g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/50f0/9106158/03996ebe2def/pone.0268173.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/50f0/9106158/fb135f5d0a98/pone.0268173.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/50f0/9106158/769da3ab3fef/pone.0268173.g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/50f0/9106158/369400a74639/pone.0268173.g004.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/50f0/9106158/e485d8b6f60f/pone.0268173.g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/50f0/9106158/e9b8b432f7c4/pone.0268173.g007.jpg

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