A compromised multi-objective solution using fuzzy mixed integer goal programming for market-based short-term unit commitment problem
When implementing, the solution of single-objective unit commitment models may be dissatisfactory or inapplicable. This might mainly be due to not considering the secondary conflicting objectives from the policy-making in internal/external environment of generation companies in the developed models....
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| Veröffentlicht in: | The Journal of the Operational Research Society 2014-01, Vol.65 (1), p.23-36 |
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| creator | Lotfi, M M Ghaderi, S F |
| description | When implementing, the solution of single-objective unit commitment models may be dissatisfactory or inapplicable. This might mainly be due to not considering the secondary conflicting objectives from the policy-making in internal/external environment of generation companies in the developed models. To attain a practical compromised multi-objective solution for the short-term unit commitment in the deregulated hybrid markets, a novel fuzzy mixed integer linear goal programme is developed in which several complementary objectives with lower relative importances are also incorporated. Non-linear characteristic curves of the generating units are approximated through the piece-wise linear functions. The fuzzy approach is proposed to handle the imprecise nature of the goals' target levels and priorities as well as some critical data. The critical aspects of power systems are considered in the model. The efficiency of the proposed approach is demonstrated using the experimental results inspired by a real case. The applicable nice feature of our model is that it can easily and efficiently be matched with a various line of unit commitment problems. |
| doi_str_mv | 10.1057/jors.2012.172 |
| format | Article |
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This might mainly be due to not considering the secondary conflicting objectives from the policy-making in internal/external environment of generation companies in the developed models. To attain a practical compromised multi-objective solution for the short-term unit commitment in the deregulated hybrid markets, a novel fuzzy mixed integer linear goal programme is developed in which several complementary objectives with lower relative importances are also incorporated. Non-linear characteristic curves of the generating units are approximated through the piece-wise linear functions. The fuzzy approach is proposed to handle the imprecise nature of the goals' target levels and priorities as well as some critical data. The critical aspects of power systems are considered in the model. The efficiency of the proposed approach is demonstrated using the experimental results inspired by a real case. The applicable nice feature of our model is that it can easily and efficiently be matched with a various line of unit commitment problems.</description><subject>Bilateral contracts</subject><subject>Business and Management</subject><subject>Competition</subject><subject>Costs</subject><subject>Decision making</subject><subject>Deregulation</subject><subject>Efficiency</subject><subject>Electric power</subject><subject>electricity</subject><subject>Electricity distribution</subject><subject>Emission allowances</subject><subject>fuzzy sets</subject><subject>General Paper</subject><subject>General Papers</subject><subject>Goal programming</subject><subject>Industrial plant emissions</subject><subject>Integer programming</subject><subject>Linear programming</subject><subject>Management</subject><subject>Market prices</subject><subject>Mathematical programming</subject><subject>Operations research</subject><subject>Operations Research/Decision 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compromised multi-objective solution using fuzzy mixed integer goal programming for market-based short-term unit commitment problem</title><author>Lotfi, M M ; Ghaderi, S F</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c375t-f415367308949a5bbe56b5feb4b1442d986797f1f0a0dea9e43e6f71f6ca52983</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2014</creationdate><topic>Bilateral contracts</topic><topic>Business and Management</topic><topic>Competition</topic><topic>Costs</topic><topic>Decision making</topic><topic>Deregulation</topic><topic>Efficiency</topic><topic>Electric power</topic><topic>electricity</topic><topic>Electricity distribution</topic><topic>Emission allowances</topic><topic>fuzzy sets</topic><topic>General Paper</topic><topic>General Papers</topic><topic>Goal programming</topic><topic>Industrial plant emissions</topic><topic>Integer programming</topic><topic>Linear 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Journal of the Operational Research Society</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Lotfi, M M</au><au>Ghaderi, S F</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A compromised multi-objective solution using fuzzy mixed integer goal programming for market-based short-term unit commitment problem</atitle><jtitle>The Journal of the Operational Research Society</jtitle><stitle>J Oper Res Soc</stitle><date>2014-01-01</date><risdate>2014</risdate><volume>65</volume><issue>1</issue><spage>23</spage><epage>36</epage><pages>23-36</pages><issn>0160-5682</issn><eissn>1476-9360</eissn><coden>OPRQAK</coden><abstract>When implementing, the solution of single-objective unit commitment models may be dissatisfactory or inapplicable. This might mainly be due to not considering the secondary conflicting objectives from the policy-making in internal/external environment of generation companies in the developed models. To attain a practical compromised multi-objective solution for the short-term unit commitment in the deregulated hybrid markets, a novel fuzzy mixed integer linear goal programme is developed in which several complementary objectives with lower relative importances are also incorporated. Non-linear characteristic curves of the generating units are approximated through the piece-wise linear functions. The fuzzy approach is proposed to handle the imprecise nature of the goals' target levels and priorities as well as some critical data. The critical aspects of power systems are considered in the model. The efficiency of the proposed approach is demonstrated using the experimental results inspired by a real case. The applicable nice feature of our model is that it can easily and efficiently be matched with a various line of unit commitment problems.</abstract><cop>London</cop><pub>Taylor & Francis</pub><doi>10.1057/jors.2012.172</doi><tpages>14</tpages></addata></record> |
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| identifier | ISSN: 0160-5682 |
| ispartof | The Journal of the Operational Research Society, 2014-01, Vol.65 (1), p.23-36 |
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| subjects | Bilateral contracts Business and Management Competition Costs Decision making Deregulation Efficiency Electric power electricity Electricity distribution Emission allowances fuzzy sets General Paper General Papers Goal programming Industrial plant emissions Integer programming Linear programming Management Market prices Mathematical programming Operations research Operations Research/Decision Theory planning Pollutant emissions Profits Scheduling Start up firms Startups Studies Total costs unit commitment |
| title | A compromised multi-objective solution using fuzzy mixed integer goal programming for market-based short-term unit commitment problem |
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