Optimal dispatching of wind-PV-mine pumped storage power station: A case study in Lingxin Coal Mine in Ningxia Province, China

With the gradual transformation of global energy, photovoltaic power generation, wind power generation, and other renewable energy have attracted countries around the world. Western China has excellent wind and solar energy resources, which are highly vulnerable to external factors and have severe l...

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Veröffentlicht in:Energy (Oxford) 2022-03, Vol.243, p.123061, Article 123061
Hauptverfasser: Gao, Renbo, Wu, Fei, Zou, Quanle, Chen, Jie
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Zou, Quanle
Chen, Jie
description With the gradual transformation of global energy, photovoltaic power generation, wind power generation, and other renewable energy have attracted countries around the world. Western China has excellent wind and solar energy resources, which are highly vulnerable to external factors and have severe limitations. Considering the gradual maturity of storage and energy storage technology of abandoned mine reservoirs, the combination of storage and energy storage technology of abandoned coal mines and wind-solar power generation technology can realize the reasonable allocation of electric energy in the time dimension. This paper studies the regulation capability of the mine pumped-hydro energy storage system proposed by scholars and uses the wind-photoelectric field model to predict the output power of wind farms and solar power stations. Taking the Lingxin coal mine as an example, the optimization algorithm is used to optimize the dispatching ability of the entire PHS joint system. The results prove that the system proposed in this paper can significantly improve the instability of the generation power curve (In terms of variance, volatility decreases to 18.76%), and improve the overall system revenue to some extent (economic efficiency increased by 15.47%). This provides certain technical support for the better utilization of new energy in the future. •A energy dispatching system based on the underground reservoir of mine is presented.•The output power of the electric field is predicted based on proposed means.•GA-dog leg algorithm is used to optimize the system scheduling.•Discuss the robustness and rationality of the optimization method.
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Western China has excellent wind and solar energy resources, which are highly vulnerable to external factors and have severe limitations. Considering the gradual maturity of storage and energy storage technology of abandoned mine reservoirs, the combination of storage and energy storage technology of abandoned coal mines and wind-solar power generation technology can realize the reasonable allocation of electric energy in the time dimension. This paper studies the regulation capability of the mine pumped-hydro energy storage system proposed by scholars and uses the wind-photoelectric field model to predict the output power of wind farms and solar power stations. Taking the Lingxin coal mine as an example, the optimization algorithm is used to optimize the dispatching ability of the entire PHS joint system. The results prove that the system proposed in this paper can significantly improve the instability of the generation power curve (In terms of variance, volatility decreases to 18.76%), and improve the overall system revenue to some extent (economic efficiency increased by 15.47%). This provides certain technical support for the better utilization of new energy in the future. •A energy dispatching system based on the underground reservoir of mine is presented.•The output power of the electric field is predicted based on proposed means.•GA-dog leg algorithm is used to optimize the system scheduling.•Discuss the robustness and rationality of the optimization method.</description><identifier>ISSN: 0360-5442</identifier><identifier>EISSN: 1873-6785</identifier><identifier>DOI: 10.1016/j.energy.2021.123061</identifier><language>eng</language><publisher>Oxford: Elsevier Ltd</publisher><subject>Abandoned mines ; Algorithms ; Alternative energy sources ; Coal ; Coal mines ; Coal mining ; Electric power generation ; Energy resources ; Energy sources ; Energy storage ; Optimization ; Photoelectricity ; Photovoltaic cells ; Photovoltaics ; Power plants ; Pumped storage ; Renewable energy ; Solar energy ; Solar power ; Solar power generation ; Technical services ; Technology ; Underground coal reservoirs ; Wind farms ; Wind power ; Wind power generation ; Wind-solar power generation</subject><ispartof>Energy (Oxford), 2022-03, Vol.243, p.123061, Article 123061</ispartof><rights>2022 Elsevier Ltd</rights><rights>Copyright Elsevier BV Mar 15, 2022</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c400t-dcf23dafe5c040aeedbab2cc64a4cdb399e03a88b630b88a88a5b3cd4239a81e3</citedby><cites>FETCH-LOGICAL-c400t-dcf23dafe5c040aeedbab2cc64a4cdb399e03a88b630b88a88a5b3cd4239a81e3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.1016/j.energy.2021.123061$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,780,784,3550,27924,27925,45995</link.rule.ids></links><search><creatorcontrib>Gao, Renbo</creatorcontrib><creatorcontrib>Wu, Fei</creatorcontrib><creatorcontrib>Zou, Quanle</creatorcontrib><creatorcontrib>Chen, Jie</creatorcontrib><title>Optimal dispatching of wind-PV-mine pumped storage power station: A case study in Lingxin Coal Mine in Ningxia Province, China</title><title>Energy (Oxford)</title><description>With the gradual transformation of global energy, photovoltaic power generation, wind power generation, and other renewable energy have attracted countries around the world. 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This provides certain technical support for the better utilization of new energy in the future. •A energy dispatching system based on the underground reservoir of mine is presented.•The output power of the electric field is predicted based on proposed means.•GA-dog leg algorithm is used to optimize the system scheduling.•Discuss the robustness and rationality of the optimization method.</description><subject>Abandoned mines</subject><subject>Algorithms</subject><subject>Alternative energy sources</subject><subject>Coal</subject><subject>Coal mines</subject><subject>Coal mining</subject><subject>Electric power generation</subject><subject>Energy resources</subject><subject>Energy sources</subject><subject>Energy storage</subject><subject>Optimization</subject><subject>Photoelectricity</subject><subject>Photovoltaic cells</subject><subject>Photovoltaics</subject><subject>Power plants</subject><subject>Pumped storage</subject><subject>Renewable energy</subject><subject>Solar energy</subject><subject>Solar power</subject><subject>Solar power generation</subject><subject>Technical services</subject><subject>Technology</subject><subject>Underground coal reservoirs</subject><subject>Wind farms</subject><subject>Wind power</subject><subject>Wind power generation</subject><subject>Wind-solar power generation</subject><issn>0360-5442</issn><issn>1873-6785</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><recordid>eNp9kElPwzAQhS0EEmX5BxwscSVlvCQkHJBQxSaV5QBcLceeFFc0DnZK6YXfjks4c5p5o3lvNB8hRwzGDFhxOh9ji2G2HnPgbMy4gIJtkRErz0RWnJX5NhmBKCDLpeS7ZC_GOQDkZVWNyPdj17uFfqfWxU735s21M-obunKtzZ5es4VrkXbLRYeWxt4HPUvSrzAkpXvn23N6SY2OmPTSrqlr6TRFfKU68Sn2fuNP4uF3qOlT8J-uNXhCJ-mUPiA7jX6PePhX98nL9dXz5DabPt7cTS6nmZEAfWZNw4XVDeYGJGhEW-uaG1NILY2tRVUhCF2WdSGgLsvU6bwWxkouKl0yFPvkeMjtgv9YYuzV3C9Dm04qXogKhJCcpS05bJngYwzYqC4kOGGtGKgNaTVXA2m1Ia0G0sl2MdgwffDpMKhoHKYnrQtoemW9-z_gB77Hiok</recordid><startdate>20220315</startdate><enddate>20220315</enddate><creator>Gao, Renbo</creator><creator>Wu, Fei</creator><creator>Zou, Quanle</creator><creator>Chen, Jie</creator><general>Elsevier Ltd</general><general>Elsevier BV</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7SP</scope><scope>7ST</scope><scope>7TB</scope><scope>8FD</scope><scope>C1K</scope><scope>F28</scope><scope>FR3</scope><scope>KR7</scope><scope>L7M</scope><scope>SOI</scope></search><sort><creationdate>20220315</creationdate><title>Optimal dispatching of wind-PV-mine pumped storage power station: A case study in Lingxin Coal Mine in Ningxia Province, China</title><author>Gao, Renbo ; 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source ScienceDirect Journals (5 years ago - present)
subjects Abandoned mines
Algorithms
Alternative energy sources
Coal
Coal mines
Coal mining
Electric power generation
Energy resources
Energy sources
Energy storage
Optimization
Photoelectricity
Photovoltaic cells
Photovoltaics
Power plants
Pumped storage
Renewable energy
Solar energy
Solar power
Solar power generation
Technical services
Technology
Underground coal reservoirs
Wind farms
Wind power
Wind power generation
Wind-solar power generation
title Optimal dispatching of wind-PV-mine pumped storage power station: A case study in Lingxin Coal Mine in Ningxia Province, China
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