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Conference Paper: Generation dispatch considering wind energy and system reliability

TitleGeneration dispatch considering wind energy and system reliability
Authors
KeywordsExpected energy not served
Loss of load probability
Operating reserve
Power generation dispatch
Q-function approximation
Wind incurred system cost
Wind power generation
Issue Date2010
PublisherIEEE
Citation
The IEEE Power and Energy Society (PES) General Meeting, Minneapolis, MN., 25-29 July 2010. In Proceedings of PES, 2010, p. 1-7 How to Cite?
AbstractThis paper attempts to address the issues of integrating wind generations with bulk power system while maintaining the efficiency and reliability of system operation. The stochastic output of wind generations increases the difficulty of balance total supply and load in a timely manner, and violates the system reliability indices such as EENS and LOLP. An efficient mean is to increase the operating reserve to compensate this additional unpredicted imbalance. To solve this problem, ideally the wind power, reserve and reliability cost should be concerned and optimized simultaneously. However the current dispatch and planning models with wind energy are mostly stochastic and solved by Monte Carlo simulation or heuristic methods. Those models and methods may not satisfy the requirements for mid-term and short term system operations, and further on-line applications. In this paper we propose an analytical EENS and LOLP indices contributed by wind power uncertainties with application of Q-function approximation. These reliability indices are considered in the co-optimization model of energy market and reserve market. In the model, conventional units and wind units are dispatched with optimal reserve and reliability costs. The wind power incurred system operating costs are proposed and formulated by the sensitivities in the optimization model. Finally the numerical example based on IEEE-39 system shows validity and effectiveness of the proposed model. ©2010 IEEE.
Persistent Identifierhttp://hdl.handle.net/10722/126178
ISSN
References

 

DC FieldValueLanguage
dc.contributor.authorLiu, Ken_HK
dc.contributor.authorZhong, Jen_HK
dc.date.accessioned2010-10-31T12:14:01Z-
dc.date.available2010-10-31T12:14:01Z-
dc.date.issued2010en_HK
dc.identifier.citationThe IEEE Power and Energy Society (PES) General Meeting, Minneapolis, MN., 25-29 July 2010. In Proceedings of PES, 2010, p. 1-7en_HK
dc.identifier.issn1944-9925-
dc.identifier.urihttp://hdl.handle.net/10722/126178-
dc.description.abstractThis paper attempts to address the issues of integrating wind generations with bulk power system while maintaining the efficiency and reliability of system operation. The stochastic output of wind generations increases the difficulty of balance total supply and load in a timely manner, and violates the system reliability indices such as EENS and LOLP. An efficient mean is to increase the operating reserve to compensate this additional unpredicted imbalance. To solve this problem, ideally the wind power, reserve and reliability cost should be concerned and optimized simultaneously. However the current dispatch and planning models with wind energy are mostly stochastic and solved by Monte Carlo simulation or heuristic methods. Those models and methods may not satisfy the requirements for mid-term and short term system operations, and further on-line applications. In this paper we propose an analytical EENS and LOLP indices contributed by wind power uncertainties with application of Q-function approximation. These reliability indices are considered in the co-optimization model of energy market and reserve market. In the model, conventional units and wind units are dispatched with optimal reserve and reliability costs. The wind power incurred system operating costs are proposed and formulated by the sensitivities in the optimization model. Finally the numerical example based on IEEE-39 system shows validity and effectiveness of the proposed model. ©2010 IEEE.en_HK
dc.languageengen_HK
dc.publisherIEEE-
dc.relation.ispartofProceedings of the IEEE Power and Energy Society General Meeting, PES 2010en_HK
dc.rightsCreative Commons: Attribution 3.0 Hong Kong License-
dc.subjectExpected energy not serveden_HK
dc.subjectLoss of load probabilityen_HK
dc.subjectOperating reserveen_HK
dc.subjectPower generation dispatchen_HK
dc.subjectQ-function approximationen_HK
dc.subjectWind incurred system costen_HK
dc.subjectWind power generationen_HK
dc.titleGeneration dispatch considering wind energy and system reliabilityen_HK
dc.typeConference_Paperen_HK
dc.identifier.openurlhttp://library.hku.hk:4550/resserv?sid=HKU:IR&issn=1944-9925&volume=&spage=1&epage=7&date=2010&atitle=Generation+dispatch+considering+wind+energy+and+system+reliability-
dc.identifier.emailZhong, J:jinzhong@hkucc.hku.hken_HK
dc.identifier.authorityZhong, J=rp00212en_HK
dc.description.naturepublished_or_final_version-
dc.identifier.doi10.1109/PES.2010.5590047en_HK
dc.identifier.scopuseid_2-s2.0-78649554258en_HK
dc.identifier.hkuros171905en_HK
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-78649554258&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.spage1-
dc.identifier.epage7-
dc.description.otherThe IEEE Power and Energy Society (PES) General Meeting, Minneapolis, MN., 25-29 July 2010. In Proceedings of PES, 2010, p. 1-7-
dc.identifier.scopusauthoridLiu, K=23009288400en_HK
dc.identifier.scopusauthoridZhong, J=13905948700en_HK

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