Syed Vasiyullah S F, Department of EEE, A.M.S College of Engineering, Chennai,Tamil Nadu, India.
Gopalakrishnan M, Department of EEE, Sri Venteshwara College of Engineering, Sriperumbudur, Tamil Nadu, India,
International Journal of Advanced Computing and Communication Systems
Received On :
Revised On :
Accepted On :
Published On :
Volume 05, Issue 03
Page No :005-010
This paper presents a methodology that solve Profit Based Unit Commitment problem for thermal unit integrated with solar and wind energy systems. The solar-wind energy is included due to low electricity cost and environment issues. The generation scheduling of solar- wind energy minimize the total thermal fuel cost and maximize their generators profit. In the competitive environment, GENCO’s run their units based on forecasted demand, reserve and price where the objective is to maximize individual GENCO’s profit rather than to satisfy power demand. This paper utilizes Improved Pre-prepared Power Demand (IPPD) table for Unit Commitment and Memory management Algorithm for Economic Dispatch. The proposed approach has been tested on ten generating units in conjunction with solar-wind energy generators.
Improved Pre-Prepared Power demand (IPPD) table, Generation Company (GENCO), Memory Management Algorithm (MMA), Profit Based Unit Commitment (PBUC).
Syed Vasiyullah S F and Gopalakrishnan M, “Profit Based Unit Commitment Scheduling With Renewable Energy System Using Memory Management Algorithm, ”International Journal of Advanced Computing and Communication Systems, pp. 001-008, November 2018.
© 2018 Syed Vasiyullah S F and Gopalakrishnan M. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
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