Fuzzy economic dispatch and spinning reserve allocation using evolutionary programming
The objective of economic dispatch (ED) problem is minimizing the operating cost, and finding the point where the total output of the generations equals the total power that must be delivered. In that point the incremental cost of power generation is also equal for all generators. Considering the pr...
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| creator | Ahmadi-Khatir, A. Motamedi, A. Sadati, N. Fallahi, K. Fathi, B. |
| description | The objective of economic dispatch (ED) problem is minimizing the operating cost, and finding the point where the total output of the generations equals the total power that must be delivered. In that point the incremental cost of power generation is also equal for all generators. Considering the presence of uncertainty and inaccuracy in the data, fuzzy set theory is an appropriate method to solve the economic dispatch problems. In this paper, a modified fuzzy economic dispatch is formulated to solve the problem under the competitive electricity market uncertainties. Also, available spinning reserve is optimally allocated to market participants. The formulated optimization problem it then solved using the evolutionary programming (EP). The advantage of the proposed approach, in compression to classical method, is shown in one application example. |
| doi_str_mv | 10.1109/NAPS.2008.5307355 |
| format | Conference Proceeding |
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In that point the incremental cost of power generation is also equal for all generators. Considering the presence of uncertainty and inaccuracy in the data, fuzzy set theory is an appropriate method to solve the economic dispatch problems. In this paper, a modified fuzzy economic dispatch is formulated to solve the problem under the competitive electricity market uncertainties. Also, available spinning reserve is optimally allocated to market participants. The formulated optimization problem it then solved using the evolutionary programming (EP). 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In that point the incremental cost of power generation is also equal for all generators. Considering the presence of uncertainty and inaccuracy in the data, fuzzy set theory is an appropriate method to solve the economic dispatch problems. In this paper, a modified fuzzy economic dispatch is formulated to solve the problem under the competitive electricity market uncertainties. Also, available spinning reserve is optimally allocated to market participants. The formulated optimization problem it then solved using the evolutionary programming (EP). The advantage of the proposed approach, in compression to classical method, is shown in one application example.</description><subject>Costs</subject><subject>economic dispatchderegulation</subject><subject>Electricity supply industry</subject><subject>evolutionary programming (EP)</subject><subject>Fuzzy set theory</subject><subject>Genetic programming</subject><subject>Power generation</subject><subject>Power generation dispatch</subject><subject>Power generation economics</subject><subject>Power system economics</subject><subject>Spinning</subject><subject>spinning reserve capacity</subject><subject>Uncertainty</subject><isbn>1424442834</isbn><isbn>9781424442836</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2008</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNotj91KwzAcxQMiqHMPIN7kBVrzaZLLMZwOhgp-3I40_XdG2qQk7WB7ejvcuTkcfnA4B6E7SkpKiXl4Xbx_lIwQXUpOFJfyAt1QwYQQTHNxheY5_5JJQnJD2DX6Xo3H4wGDiyF23uHa594O7gfbUOPc-xB82OEEGdIesG3b6OzgY8BjPgHYx3Y8ZZsOuE9xl2zXTeAWXTa2zTA_-wx9rZ4-ly_F5u15vVxsCke5HgqpJQNpuTOM14o70kyTa2NVY6ByispKAwGjwVWUMm2ZerQgK8s0VaxqOJ-h-_9eDwDbPvluGrI9X-d_hZVRag</recordid><startdate>200809</startdate><enddate>200809</enddate><creator>Ahmadi-Khatir, A.</creator><creator>Motamedi, A.</creator><creator>Sadati, N.</creator><creator>Fallahi, K.</creator><creator>Fathi, B.</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>200809</creationdate><title>Fuzzy economic dispatch and spinning reserve allocation using evolutionary programming</title><author>Ahmadi-Khatir, A. ; Motamedi, A. ; Sadati, N. ; Fallahi, K. ; Fathi, B.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c138t-5852e5a3c923d73c0f735d9a7f9ebc715b8e0e98ecb1128a276ae5ba28172bf33</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2008</creationdate><topic>Costs</topic><topic>economic dispatchderegulation</topic><topic>Electricity supply industry</topic><topic>evolutionary programming (EP)</topic><topic>Fuzzy set theory</topic><topic>Genetic programming</topic><topic>Power generation</topic><topic>Power generation dispatch</topic><topic>Power generation economics</topic><topic>Power system economics</topic><topic>Spinning</topic><topic>spinning reserve capacity</topic><topic>Uncertainty</topic><toplevel>online_resources</toplevel><creatorcontrib>Ahmadi-Khatir, A.</creatorcontrib><creatorcontrib>Motamedi, A.</creatorcontrib><creatorcontrib>Sadati, N.</creatorcontrib><creatorcontrib>Fallahi, K.</creatorcontrib><creatorcontrib>Fathi, B.</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP All) 1998-Present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Ahmadi-Khatir, A.</au><au>Motamedi, A.</au><au>Sadati, N.</au><au>Fallahi, K.</au><au>Fathi, B.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Fuzzy economic dispatch and spinning reserve allocation using evolutionary programming</atitle><btitle>2008 40th North American Power Symposium</btitle><stitle>NAPS</stitle><date>2008-09</date><risdate>2008</risdate><spage>1</spage><epage>5</epage><pages>1-5</pages><isbn>1424442834</isbn><isbn>9781424442836</isbn><abstract>The objective of economic dispatch (ED) problem is minimizing the operating cost, and finding the point where the total output of the generations equals the total power that must be delivered. In that point the incremental cost of power generation is also equal for all generators. Considering the presence of uncertainty and inaccuracy in the data, fuzzy set theory is an appropriate method to solve the economic dispatch problems. In this paper, a modified fuzzy economic dispatch is formulated to solve the problem under the competitive electricity market uncertainties. Also, available spinning reserve is optimally allocated to market participants. The formulated optimization problem it then solved using the evolutionary programming (EP). The advantage of the proposed approach, in compression to classical method, is shown in one application example.</abstract><pub>IEEE</pub><doi>10.1109/NAPS.2008.5307355</doi><tpages>5</tpages></addata></record> |
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| language | eng |
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| source | IEEE Electronic Library (IEL) Conference Proceedings |
| subjects | Costs economic dispatchderegulation Electricity supply industry evolutionary programming (EP) Fuzzy set theory Genetic programming Power generation Power generation dispatch Power generation economics Power system economics Spinning spinning reserve capacity Uncertainty |
| title | Fuzzy economic dispatch and spinning reserve allocation using evolutionary programming |
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