Please use this identifier to cite or link to this item: http://hdl.handle.net/2080/3782
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dc.contributor.authorSahoo, Manoranjan-
dc.contributor.authorRai, Shekha-
dc.contributor.authorDora, Bimal Kumar-
dc.date.accessioned2022-12-05T04:45:53Z-
dc.date.available2022-12-05T04:45:53Z-
dc.date.issued2022-11-
dc.identifier.citationIEEE 19th India Council International Conference (INDICON), Kochi, Kerala, 24th - 26th November 2022en_US
dc.identifier.urihttp://hdl.handle.net/2080/3782-
dc.descriptionCopyright belongs to proceeding publisheren_US
dc.description.abstractThis paper introduces a hybrid mutualism based pathfinder algorithm (mPFA) for solving the bid-based dynamic economic load dispatch (BBDED) problem by taking into consideration of various bidding strategies in a deregulated environment. In a deregulated environment BBDED problem is evolved to achieve different goals, such as resource scheduling, maximize social profits, and simultaneously to intend power system security. The IEEE-30 bus test system is considered, which contains 6-power generators and 2-consumers who are supposed to bid in two separate trading periods under various bidding strategies in a day-ahead electricity market. The market co-ordinator known as independent system operator (ISO) matches different bids received from supply and demand side participants and tries to maximize the social profit. In this work, a novel hybrid meta-heuristic algorithm, namely mPFA is proposed, which combines the Pathfinder algorithm (PFA) and the mutualism phase of the Symbiotic Organisms Search (SOS) algorithm. The proposed mPFA scheme avoids the slow and premature convergence of original PFA by exploration with PFA and exploitation with the mutualism phase of SOS. The proposed hybrid scheme was compared to different meta-heuristic algorithms, including Pathfinder algorithm (PFA), Differential Evolution (DE) algorithm, particle swarm optimizer (PSO), and Salp Swarm Algorithm (SSA). The simulation results show that mPFA has the capability and adequacy to solve BBDED.en_US
dc.subjectBid-based dynamic economic dispatchen_US
dc.subjectindependent system operatoren_US
dc.subjecthybrid mutualism based pathfinder algorithmen_US
dc.subjectPathfinder algorithmen_US
dc.subjectSymbiotic Organisms Searchen_US
dc.titleA Solution of Bid-based dynamic economic load dispatch using a hybrid Mutualism based Pathfinder algorithmen_US
dc.typeArticleen_US
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