A Refined Short-term Scheduling Method Considering the Difference of Peak-shaving Performance of Hydropower Stations

The scale of regulated hydropower in the power grid and the demand for refined dispatch continue to expand.How to carry out refined peak-shaving considering the differences in the regulatory performance of different power stations,which makes thermal power run smoothly and reduces the depth of parti...

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Main Authors: HUANG Kui, CHENG Ruixiang, HU Jiaqiu, LI Xiangyang, ZHU Yunke, WU Xinyu
Format: Article
Language:zho
Published: Editorial Office of Pearl River 2024-01-01
Series:Renmin Zhujiang
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Online Access:http://www.renminzhujiang.cn/thesisDetails#10.3969/j.issn.1001-9235.2024.01.014
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author HUANG Kui
CHENG Ruixiang
HU Jiaqiu
LI Xiangyang
ZHU Yunke
WU Xinyu
author_facet HUANG Kui
CHENG Ruixiang
HU Jiaqiu
LI Xiangyang
ZHU Yunke
WU Xinyu
author_sort HUANG Kui
collection DOAJ
description The scale of regulated hydropower in the power grid and the demand for refined dispatch continue to expand.How to carry out refined peak-shaving considering the differences in the regulatory performance of different power stations,which makes thermal power run smoothly and reduces the depth of participation in peak shaving,is the key problem to be solved in short-term hydropower dispatch of the power grid.To deal with the refined short-term scheduling of some provincial power grids,this paper proposes a peak-shaving optimization model of hydropower station groups considering peak-shaving performance differences.The model makes the short-term scheduling plan more accurate and reasonable and can better use hydropower regulation capacity.According to the different regulatory performance of the hydropower stations under the power grid,the paper conducts differentiated constraint processing to the weak peak-load station,the peak-load station,and the balanced power station.In addition,the successive associated search method is applied to solve the differentiated peak load optimization model.A total of 37 hydropower stations in Guangxi power grid are selected for the case study.The results show that compared with the traditional model,the differential peak-shaving optimization model takes into account the difference in regulation performance of different hydropower stations.It further reduces the peak-valley difference of the residual load of the system,smooths the fluctuation of the residual load of the system,and levels the small and frequent fluctuations of the system load,which is a fine scheduling method to meet the actual engineering requirements.
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institution Kabale University
issn 1001-9235
language zho
publishDate 2024-01-01
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series Renmin Zhujiang
spelling doaj-art-a33ef7a179f44ae7bbdb4248785552462025-01-15T03:00:27ZzhoEditorial Office of Pearl RiverRenmin Zhujiang1001-92352024-01-014548612920A Refined Short-term Scheduling Method Considering the Difference of Peak-shaving Performance of Hydropower StationsHUANG KuiCHENG RuixiangHU JiaqiuLI XiangyangZHU YunkeWU XinyuThe scale of regulated hydropower in the power grid and the demand for refined dispatch continue to expand.How to carry out refined peak-shaving considering the differences in the regulatory performance of different power stations,which makes thermal power run smoothly and reduces the depth of participation in peak shaving,is the key problem to be solved in short-term hydropower dispatch of the power grid.To deal with the refined short-term scheduling of some provincial power grids,this paper proposes a peak-shaving optimization model of hydropower station groups considering peak-shaving performance differences.The model makes the short-term scheduling plan more accurate and reasonable and can better use hydropower regulation capacity.According to the different regulatory performance of the hydropower stations under the power grid,the paper conducts differentiated constraint processing to the weak peak-load station,the peak-load station,and the balanced power station.In addition,the successive associated search method is applied to solve the differentiated peak load optimization model.A total of 37 hydropower stations in Guangxi power grid are selected for the case study.The results show that compared with the traditional model,the differential peak-shaving optimization model takes into account the difference in regulation performance of different hydropower stations.It further reduces the peak-valley difference of the residual load of the system,smooths the fluctuation of the residual load of the system,and levels the small and frequent fluctuations of the system load,which is a fine scheduling method to meet the actual engineering requirements.http://www.renminzhujiang.cn/thesisDetails#10.3969/j.issn.1001-9235.2024.01.014refined schedulingdifferential peak shavingshort-term schedulingcascaded hydropower stations
spellingShingle HUANG Kui
CHENG Ruixiang
HU Jiaqiu
LI Xiangyang
ZHU Yunke
WU Xinyu
A Refined Short-term Scheduling Method Considering the Difference of Peak-shaving Performance of Hydropower Stations
Renmin Zhujiang
refined scheduling
differential peak shaving
short-term scheduling
cascaded hydropower stations
title A Refined Short-term Scheduling Method Considering the Difference of Peak-shaving Performance of Hydropower Stations
title_full A Refined Short-term Scheduling Method Considering the Difference of Peak-shaving Performance of Hydropower Stations
title_fullStr A Refined Short-term Scheduling Method Considering the Difference of Peak-shaving Performance of Hydropower Stations
title_full_unstemmed A Refined Short-term Scheduling Method Considering the Difference of Peak-shaving Performance of Hydropower Stations
title_short A Refined Short-term Scheduling Method Considering the Difference of Peak-shaving Performance of Hydropower Stations
title_sort refined short term scheduling method considering the difference of peak shaving performance of hydropower stations
topic refined scheduling
differential peak shaving
short-term scheduling
cascaded hydropower stations
url http://www.renminzhujiang.cn/thesisDetails#10.3969/j.issn.1001-9235.2024.01.014
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