Optimal Demand Side Bidding with Carbon Emission by Using MRS Strategy
Author(s) -
Kaustubh Dwivedi,
Brijesh Kumar,
Ganga Agnihotri
Publication year - 2014
Publication title -
chinese journal of engineering
Language(s) - English
Resource type - Journals
ISSN - 2314-8063
DOI - 10.1155/2014/746924
Subject(s) - bidding , algorithm , computer science , particle swarm optimization , machine learning , artificial intelligence , economics , microeconomics
A new moderate-random-search strategy (MRPSO) is used for an optimal bidding strategy of a supplier, considering linear bidding curve model with a precise model and emission as constraints, and who delivered electricity to end users in oligopolistic dynamic electricity is studied. Bidding strategy of a supplier is solved by MRPSO, where mean best position (mbest) boosts the diversity and the exploration ability of particle. The MRPSO adopts an attractor pd as the main moving direction of particles, which replaces the velocity update procedure in the particle swarm optimization. The effectiveness of the proposed approach is tested with linear bidding model and the results are compared with the solutions obtained using classical PSO. In this paper, a comparative study has been done by a competitive bidding model tested on IEEE 14- and IEEE 39-bus systems and results motivate the suppliers towards opting green technologies
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