Multi-area environmental economic dispatch with reserve constraints using enhanced particle swarm optimization

Show simple item record Jadoun, Vinay Kumar Gupta, Nikhil Niazi, Khaleequr Rehman Swarnkar, Anil Bansal, Ramesh C. 2016-06-10T08:03:16Z 2015-08
dc.description.abstract In this paper, the multi-area environmental economic dispatch (MAEED) problem with reserve constraints is solved by proposing an enhanced particle swarm optimization (EPSO) method. The objective of MAEED problem is to determine the optimal generating schedule of thermal units and inter-area power transactions in such a way that total fuel cost and emission are simultaneously optimized while satisfying tie-line, reserve, and other operational constraints. The spinning reserve requirements for reserve-sharing provisions are investigated by considering contingency and pooling spinning reserves. The control equation of the particle swarm optimization (PSO) is modified by improving the cognitive component of the particle's velocity using a new concept of a preceding experience. In addition, the operators of PSO are dynamically controlled to maintain a better balance between cognitive and social behavior of the swarm. The effectiveness of the proposed EPSO has been investigated on four areas, 16 generators and four areas, 40 generators test systems. The application results show that EPSO is very promising to solve the MAEED problem. en_ZA
dc.description.department Electrical, Electronic and Computer Engineering en_ZA
dc.description.embargo 2016-08-31
dc.description.librarian hb2016 en_ZA
dc.description.uri en_ZA
dc.identifier.citation Vinay Kumar Jadoun, Nikhil Gupta, Khaleequr Rehman Niazi, Anil Swarnkar & Ramesh C. Bansal (2015) Multi-area Environmental Economic Dispatch with Reserve Constraints Using Enhanced Particle Swarm Optimization, Electric Power Components and Systems, 43:14, 1667-1679, DOI:10.1080/15325008.2015.1044052. en_ZA
dc.identifier.issn 1532-5008 (print)
dc.identifier.issn 1532-5016 (online)
dc.identifier.other 10.1080/15325008.2015.1044052
dc.language.iso en en_ZA
dc.publisher Taylor and Francis en_ZA
dc.rights © Taylor & Francis Group, LLC. This is an electronic version of an article published in Electric Power Components and Systems, vol. 43, no.14, pp. 1667-1679, 2015. doi : 10.1080/15325008.2015.1044052. Electric Power Components and Systems is available online at : en_ZA
dc.subject Contingency spinning reserve en_ZA
dc.subject Multi-area economic-emission dispatch en_ZA
dc.subject Pooling spinning reserve en_ZA
dc.subject Tie-line capacity en_ZA
dc.subject Multi-area environmental economic dispatch (MAEED) en_ZA
dc.subject Enhanced particle swarm optimization (EPSO) en_ZA
dc.subject Particle swarm optimization (PSO) en_ZA
dc.title Multi-area environmental economic dispatch with reserve constraints using enhanced particle swarm optimization en_ZA
dc.type Postprint Article en_ZA

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