Generating capacity adequacy evaluation of large-scale, grid-connected photovoltaic systems
Large-scale, grid-connected photovoltaic systems have become an essential part of modern electric power distribution systems. In this paper, a novel approach based on the Markov method has been proposed to investigate the effects of large-scale, grid-connected photovoltaic systems on the reliability...
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| Veröffentlicht in: | Frontiers in Energy 2016-09, Vol.10 (3), p.308-318 |
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| creator | AHADI, Amir MIRYOUSEFI AVAL, Seyed Mohsen HAYATI, Hosein |
| description | Large-scale, grid-connected photovoltaic systems have become an essential part of modern electric power distribution systems. In this paper, a novel approach based on the Markov method has been proposed to investigate the effects of large-scale, grid-connected photovoltaic systems on the reliability of bulk power systems. The proposed method serves as an applicable tool to estimate performance (e.g., energy yield and capacity) as well as reliability indices. The Markov method framework has been incorporated with the multi-state models to develop energy states of the photovoltaic systems in order to quantify the effects of the photovoltaic systems on the power system adequacy. Such analysis assists planners to make adequate decisions based on the economical expectations as well as to ensure the recovery of the investment costs over time. The failure states of the components of photovoltaic systems have been considered to evaluate the sensitivity analysis and the adequacy indices including loss of load expectation, and expected energy not supplied. Moreover, the impacts of transitions between failures on the reliability calculations as well as on the long- term operation of the photovoltaic systems have been illustrated. Simulation results on the Roy Billinton test system has been shown to illustrate the procedure of the proposed frame work and evaluate the reliability benefits of using large-scale, grid-connected photovoltaic system on the bulk electric power systems. The proposed method can be easily extended to estimate the operating and maintenance costs for the financial planning of the photovoltaic system projects. |
| doi_str_mv | 10.1007/s11708-016-0415-9 |
| format | Article |
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In this paper, a novel approach based on the Markov method has been proposed to investigate the effects of large-scale, grid-connected photovoltaic systems on the reliability of bulk power systems. The proposed method serves as an applicable tool to estimate performance (e.g., energy yield and capacity) as well as reliability indices. The Markov method framework has been incorporated with the multi-state models to develop energy states of the photovoltaic systems in order to quantify the effects of the photovoltaic systems on the power system adequacy. Such analysis assists planners to make adequate decisions based on the economical expectations as well as to ensure the recovery of the investment costs over time. The failure states of the components of photovoltaic systems have been considered to evaluate the sensitivity analysis and the adequacy indices including loss of load expectation, and expected energy not supplied. Moreover, the impacts of transitions between failures on the reliability calculations as well as on the long- term operation of the photovoltaic systems have been illustrated. Simulation results on the Roy Billinton test system has been shown to illustrate the procedure of the proposed frame work and evaluate the reliability benefits of using large-scale, grid-connected photovoltaic system on the bulk electric power systems. The proposed method can be easily extended to estimate the operating and maintenance costs for the financial planning of the photovoltaic system projects.</description><identifier>ISSN: 2095-1701</identifier><identifier>EISSN: 2095-1698</identifier><identifier>DOI: 10.1007/s11708-016-0415-9</identifier><language>eng</language><publisher>Beijing: Higher Education Press</publisher><subject>Adequacy ; adequacy assessment ; Alternative energy ; Alternative energy sources ; Decisions ; Electric power ; Electric power distribution ; Electric power systems ; Electric utilities ; Electricity distribution ; Energy ; Energy storage ; Energy Systems ; Estimates ; Failure ; Financial planning ; Generating capacity ; large-scale grid-connected photovoltaic(PV) systems ; long-term operation ; Maintenance costs ; Markov method ; Mathematical analysis ; Operating costs ; Photovoltaic cells ; Photovoltaics ; Research Article ; Sensitivity analysis ; Solar cells ; Solar energy ; Stochastic models ; Studies ; Systems analysis ; 光伏发电系统 ; 光伏系统 ; 发电容量充裕性 ; 可靠性指标 ; 并网 ; 电力系统 ; 评估 ; 马尔可夫方法</subject><ispartof>Frontiers in Energy, 2016-09, Vol.10 (3), p.308-318</ispartof><rights>Copyright reserved, 2016, Higher Education Press and Springer-Verlag Berlin Heidelberg</rights><rights>Higher Education Press and Springer-Verlag Berlin Heidelberg 2016</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c458t-8fecda85102862814fc8d2e4975c15b65315dfa41cbde80f928c756f338f97de3</citedby><cites>FETCH-LOGICAL-c458t-8fecda85102862814fc8d2e4975c15b65315dfa41cbde80f928c756f338f97de3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Uhttp://image.cqvip.com/vip1000/qk/71239X/71239X.jpg</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s11708-016-0415-9$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s11708-016-0415-9$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,776,780,27901,27902,41464,42533,51294</link.rule.ids></links><search><creatorcontrib>AHADI, Amir</creatorcontrib><creatorcontrib>MIRYOUSEFI AVAL, Seyed Mohsen</creatorcontrib><creatorcontrib>HAYATI, Hosein</creatorcontrib><title>Generating capacity adequacy evaluation of large-scale, grid-connected photovoltaic systems</title><title>Frontiers in Energy</title><addtitle>Front. Energy</addtitle><addtitle>Frontiers in Energy</addtitle><description>Large-scale, grid-connected photovoltaic systems have become an essential part of modern electric power distribution systems. In this paper, a novel approach based on the Markov method has been proposed to investigate the effects of large-scale, grid-connected photovoltaic systems on the reliability of bulk power systems. The proposed method serves as an applicable tool to estimate performance (e.g., energy yield and capacity) as well as reliability indices. The Markov method framework has been incorporated with the multi-state models to develop energy states of the photovoltaic systems in order to quantify the effects of the photovoltaic systems on the power system adequacy. Such analysis assists planners to make adequate decisions based on the economical expectations as well as to ensure the recovery of the investment costs over time. The failure states of the components of photovoltaic systems have been considered to evaluate the sensitivity analysis and the adequacy indices including loss of load expectation, and expected energy not supplied. Moreover, the impacts of transitions between failures on the reliability calculations as well as on the long- term operation of the photovoltaic systems have been illustrated. Simulation results on the Roy Billinton test system has been shown to illustrate the procedure of the proposed frame work and evaluate the reliability benefits of using large-scale, grid-connected photovoltaic system on the bulk electric power systems. The proposed method can be easily extended to estimate the operating and maintenance costs for the financial planning of the photovoltaic system projects.</description><subject>Adequacy</subject><subject>adequacy assessment</subject><subject>Alternative energy</subject><subject>Alternative energy sources</subject><subject>Decisions</subject><subject>Electric power</subject><subject>Electric power distribution</subject><subject>Electric power systems</subject><subject>Electric utilities</subject><subject>Electricity distribution</subject><subject>Energy</subject><subject>Energy storage</subject><subject>Energy Systems</subject><subject>Estimates</subject><subject>Failure</subject><subject>Financial planning</subject><subject>Generating capacity</subject><subject>large-scale grid-connected photovoltaic(PV) systems</subject><subject>long-term operation</subject><subject>Maintenance costs</subject><subject>Markov method</subject><subject>Mathematical analysis</subject><subject>Operating costs</subject><subject>Photovoltaic cells</subject><subject>Photovoltaics</subject><subject>Research Article</subject><subject>Sensitivity analysis</subject><subject>Solar cells</subject><subject>Solar energy</subject><subject>Stochastic models</subject><subject>Studies</subject><subject>Systems analysis</subject><subject>光伏发电系统</subject><subject>光伏系统</subject><subject>发电容量充裕性</subject><subject>可靠性指标</subject><subject>并网</subject><subject>电力系统</subject><subject>评估</subject><subject>马尔可夫方法</subject><issn>2095-1701</issn><issn>2095-1698</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2016</creationdate><recordtype>article</recordtype><sourceid>8G5</sourceid><sourceid>BENPR</sourceid><sourceid>GUQSH</sourceid><sourceid>M2O</sourceid><recordid>eNqNkcFq3DAQhk1pISHNA-Rm2ksPdTsjS5Z0LKFNC4FeklMPQpFHXgev5JXswL59FJyW0kMoOkgw3zcz4q-qC4RPCCA_Z0QJqgHsGuAoGv2qOmWgRYOdVq9_vyXgSXWe8z0AIIIAyU6rX1cUKNllDEPt7GzduBxr29Nhte5Y04Od1lKMoY6-nmwaqMnOTvSxHtLYNy6GQG6hvp53cYkPcVrs6Op8zAvt89vqjbdTpvPn-6y6_fb15vJ7c_3z6sfll-vGcaGWRnlyvVUCgamOKeTeqZ4R11I4FHedaFH03nJ0dz0p8JopJ0Xn21Z5LXtqz6oPW985xcNKeTH7MTuaJhsortmgKnOAc2z_A2VSt8CVKOj7f9D7uKZQPlKocjhwyQqFG-VSzDmRN3Ma9zYdDYJ5Csds4ZgSjnkKx-jisM3JhQ0Dpb86vyCpTdqNw44S9XOinI1PMSwjpZfVd8877mIYDmXknyW7TmvOWw7tIxzzrtQ</recordid><startdate>20160901</startdate><enddate>20160901</enddate><creator>AHADI, 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Hosein</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Generating capacity adequacy evaluation of large-scale, grid-connected photovoltaic systems</atitle><jtitle>Frontiers in Energy</jtitle><stitle>Front. Energy</stitle><addtitle>Frontiers in Energy</addtitle><date>2016-09-01</date><risdate>2016</risdate><volume>10</volume><issue>3</issue><spage>308</spage><epage>318</epage><pages>308-318</pages><issn>2095-1701</issn><eissn>2095-1698</eissn><abstract>Large-scale, grid-connected photovoltaic systems have become an essential part of modern electric power distribution systems. In this paper, a novel approach based on the Markov method has been proposed to investigate the effects of large-scale, grid-connected photovoltaic systems on the reliability of bulk power systems. The proposed method serves as an applicable tool to estimate performance (e.g., energy yield and capacity) as well as reliability indices. The Markov method framework has been incorporated with the multi-state models to develop energy states of the photovoltaic systems in order to quantify the effects of the photovoltaic systems on the power system adequacy. Such analysis assists planners to make adequate decisions based on the economical expectations as well as to ensure the recovery of the investment costs over time. The failure states of the components of photovoltaic systems have been considered to evaluate the sensitivity analysis and the adequacy indices including loss of load expectation, and expected energy not supplied. Moreover, the impacts of transitions between failures on the reliability calculations as well as on the long- term operation of the photovoltaic systems have been illustrated. Simulation results on the Roy Billinton test system has been shown to illustrate the procedure of the proposed frame work and evaluate the reliability benefits of using large-scale, grid-connected photovoltaic system on the bulk electric power systems. The proposed method can be easily extended to estimate the operating and maintenance costs for the financial planning of the photovoltaic system projects.</abstract><cop>Beijing</cop><pub>Higher Education Press</pub><doi>10.1007/s11708-016-0415-9</doi><tpages>11</tpages></addata></record> |
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| subjects | Adequacy adequacy assessment Alternative energy Alternative energy sources Decisions Electric power Electric power distribution Electric power systems Electric utilities Electricity distribution Energy Energy storage Energy Systems Estimates Failure Financial planning Generating capacity large-scale grid-connected photovoltaic(PV) systems long-term operation Maintenance costs Markov method Mathematical analysis Operating costs Photovoltaic cells Photovoltaics Research Article Sensitivity analysis Solar cells Solar energy Stochastic models Studies Systems analysis 光伏发电系统 光伏系统 发电容量充裕性 可靠性指标 并网 电力系统 评估 马尔可夫方法 |
| title | Generating capacity adequacy evaluation of large-scale, grid-connected photovoltaic systems |
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