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New technique for Maximum Efficiency and Minimum Operating Cost of induction motors based on Particle Swarm Optmization (PSO)
This paper presents the application of PSO for losses and operating cost minimization control in the induction motor drives. In this paper, two strategies for induction motor speed control are proposed. Those two strategies are based on PSO and called maximum efficiency strategy and minimum operatin...
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creator | Hamid, R.H.A. Amin, A.M.A. Ahmed, R.S. El-Gammal, A.A.A. |
description | This paper presents the application of PSO for losses and operating cost minimization control in the induction motor drives. In this paper, two strategies for induction motor speed control are proposed. Those two strategies are based on PSO and called maximum efficiency strategy and minimum operating cost strategy. The proposed technique is based on the principle that the flux level in a machine can be adjusted to give the minimum amount of losses and minimum operating cost for a given value of speed and load torque. The main advantages of the proposed technique are; its simple structure and its straightforward maximization of induction motor efficiency and its operating cost for a given load torque. As will be demonstrated, PSO is so efficient in finding the optimum operating machines flux level. The optimum flux level is a function of the machine load and speed requirements. Simulation results show that a considerable energy and cost savings is achieved in comparison with the conventional method of operation under the condition of constant voltage to frequency ratio. |
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In this paper, two strategies for induction motor speed control are proposed. Those two strategies are based on PSO and called maximum efficiency strategy and minimum operating cost strategy. The proposed technique is based on the principle that the flux level in a machine can be adjusted to give the minimum amount of losses and minimum operating cost for a given value of speed and load torque. The main advantages of the proposed technique are; its simple structure and its straightforward maximization of induction motor efficiency and its operating cost for a given load torque. As will be demonstrated, PSO is so efficient in finding the optimum operating machines flux level. The optimum flux level is a function of the machine load and speed requirements. Simulation results show that a considerable energy and cost savings is achieved in comparison with the conventional method of operation under the condition of constant voltage to frequency ratio.</description><identifier>ISBN: 1424451116</identifier><identifier>ISBN: 9781424451111</identifier><language>eng</language><publisher>IEEE</publisher><subject>Air gaps ; Copper ; Core loss ; Costs ; Induction Motor ; Induction motors ; Iron ; Maximum Efficiency ; operating cost ; Particle swarm optimization ; Particle Swarm Optimization {PSO ; Rotors ; Stator cores ; Torque</subject><ispartof>2006 Eleventh International Middle East Power Systems Conference, 2006, Vol.2, p.416-420</ispartof><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/5372450$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>310,311,786,790,795,796,2071,55271</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/5372450$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Hamid, R.H.A.</creatorcontrib><creatorcontrib>Amin, A.M.A.</creatorcontrib><creatorcontrib>Ahmed, R.S.</creatorcontrib><creatorcontrib>El-Gammal, A.A.A.</creatorcontrib><title>New technique for Maximum Efficiency and Minimum Operating Cost of induction motors based on Particle Swarm Optmization (PSO)</title><title>2006 Eleventh International Middle East Power Systems Conference</title><addtitle>MEPCON</addtitle><description>This paper presents the application of PSO for losses and operating cost minimization control in the induction motor drives. In this paper, two strategies for induction motor speed control are proposed. Those two strategies are based on PSO and called maximum efficiency strategy and minimum operating cost strategy. The proposed technique is based on the principle that the flux level in a machine can be adjusted to give the minimum amount of losses and minimum operating cost for a given value of speed and load torque. The main advantages of the proposed technique are; its simple structure and its straightforward maximization of induction motor efficiency and its operating cost for a given load torque. As will be demonstrated, PSO is so efficient in finding the optimum operating machines flux level. The optimum flux level is a function of the machine load and speed requirements. Simulation results show that a considerable energy and cost savings is achieved in comparison with the conventional method of operation under the condition of constant voltage to frequency ratio.</description><subject>Air gaps</subject><subject>Copper</subject><subject>Core loss</subject><subject>Costs</subject><subject>Induction Motor</subject><subject>Induction motors</subject><subject>Iron</subject><subject>Maximum Efficiency</subject><subject>operating cost</subject><subject>Particle swarm optimization</subject><subject>Particle Swarm Optimization {PSO</subject><subject>Rotors</subject><subject>Stator cores</subject><subject>Torque</subject><isbn>1424451116</isbn><isbn>9781424451111</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2006</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><recordid>eNotjE9PAjEUxDcxJiryCby8ox5Iut12W46G4J8EhATu5NG-6jNsF7sliInfXUTnMvlNZuasuCqVVEqXZVlfFP2uexdHKa1kbS6L7xfaQyb3FvljRxDaBFP85GbXwDgEdkzRHQCjhynHUzzbUsLM8RVGbZehDcDR71zmNkLT5jZ1sMaOPBx5jimz2xAs9ph-p7nhLzxVb-eL2d11cR5w01H_33vF8mG8HD0NJrPH59H9ZMBDkQfaSmmHxlqsa-ONDEPrKlfWQpNx1npfWk11EIjrIwpPVkkTjHAKq0oYXfWKm79bJqLVNnGD6bDSlZFKi-oHg35XRw</recordid><startdate>200612</startdate><enddate>200612</enddate><creator>Hamid, R.H.A.</creator><creator>Amin, A.M.A.</creator><creator>Ahmed, R.S.</creator><creator>El-Gammal, A.A.A.</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>200612</creationdate><title>New technique for Maximum Efficiency and Minimum Operating Cost of induction motors based on Particle Swarm Optmization (PSO)</title><author>Hamid, R.H.A. ; Amin, A.M.A. ; Ahmed, R.S. ; El-Gammal, A.A.A.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i90t-582289788a667d72f98c3c1605e7c88dd185e6f0aabc880de8427f70c4a330753</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2006</creationdate><topic>Air gaps</topic><topic>Copper</topic><topic>Core loss</topic><topic>Costs</topic><topic>Induction Motor</topic><topic>Induction motors</topic><topic>Iron</topic><topic>Maximum Efficiency</topic><topic>operating cost</topic><topic>Particle swarm optimization</topic><topic>Particle Swarm Optimization {PSO</topic><topic>Rotors</topic><topic>Stator cores</topic><topic>Torque</topic><toplevel>online_resources</toplevel><creatorcontrib>Hamid, R.H.A.</creatorcontrib><creatorcontrib>Amin, A.M.A.</creatorcontrib><creatorcontrib>Ahmed, R.S.</creatorcontrib><creatorcontrib>El-Gammal, A.A.A.</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 Xplore</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>Hamid, R.H.A.</au><au>Amin, A.M.A.</au><au>Ahmed, R.S.</au><au>El-Gammal, A.A.A.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>New technique for Maximum Efficiency and Minimum Operating Cost of induction motors based on Particle Swarm Optmization (PSO)</atitle><btitle>2006 Eleventh International Middle East Power Systems Conference</btitle><stitle>MEPCON</stitle><date>2006-12</date><risdate>2006</risdate><volume>2</volume><spage>416</spage><epage>420</epage><pages>416-420</pages><isbn>1424451116</isbn><isbn>9781424451111</isbn><abstract>This paper presents the application of PSO for losses and operating cost minimization control in the induction motor drives. In this paper, two strategies for induction motor speed control are proposed. Those two strategies are based on PSO and called maximum efficiency strategy and minimum operating cost strategy. The proposed technique is based on the principle that the flux level in a machine can be adjusted to give the minimum amount of losses and minimum operating cost for a given value of speed and load torque. The main advantages of the proposed technique are; its simple structure and its straightforward maximization of induction motor efficiency and its operating cost for a given load torque. As will be demonstrated, PSO is so efficient in finding the optimum operating machines flux level. The optimum flux level is a function of the machine load and speed requirements. Simulation results show that a considerable energy and cost savings is achieved in comparison with the conventional method of operation under the condition of constant voltage to frequency ratio.</abstract><pub>IEEE</pub><tpages>5</tpages></addata></record> |
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ispartof | 2006 Eleventh International Middle East Power Systems Conference, 2006, Vol.2, p.416-420 |
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language | eng |
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source | IEEE Electronic Library (IEL) Conference Proceedings |
subjects | Air gaps Copper Core loss Costs Induction Motor Induction motors Iron Maximum Efficiency operating cost Particle swarm optimization Particle Swarm Optimization {PSO Rotors Stator cores Torque |
title | New technique for Maximum Efficiency and Minimum Operating Cost of induction motors based on Particle Swarm Optmization (PSO) |
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