Programmable Device Circuits and Systems

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Unit Commitment Problem in Regulated and Deregulated Environment Using LR-GA


Affiliations
1 Electrical and Electronics from Kamaraj college of Engineering and Technology, Virudhunagar, Tamilnadu
2 Infant Jesus College of Engineering, Keelavallanadu, EEE Department, India
     

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This paper presents Unit Commitment (UC) problem solved in both regulated and deregulated environment using Lagrangian Relaxation (LR) and LR with Genetic Algorithm (GA) known as LR-GA method. In regulated environment the objective of UC is to minimize the total operating cost while satisfying system operating constraints, whereas in deregulated environment, the objective is to maximize the profit of generating companies (GENCO’s), while it is not mandatory to meet the demand constraint. The other constraints considered in this problem are demand, capacity limit and spinning reserve. The effectiveness of LR-GA method is tested with 3-unit 12-hour and 10-unit 24-hour test systems.

Keywords

Deregulation, Generating Companies, Genetic Algorithm, Lagrangian Relaxation and Unit Commitment.
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  • Unit Commitment Problem in Regulated and Deregulated Environment Using LR-GA

Abstract Views: 175  |  PDF Views: 1

Authors

K. Alagunarayanan
Electrical and Electronics from Kamaraj college of Engineering and Technology, Virudhunagar, Tamilnadu
L. Dhineshbabu
Infant Jesus College of Engineering, Keelavallanadu, EEE Department, India

Abstract


This paper presents Unit Commitment (UC) problem solved in both regulated and deregulated environment using Lagrangian Relaxation (LR) and LR with Genetic Algorithm (GA) known as LR-GA method. In regulated environment the objective of UC is to minimize the total operating cost while satisfying system operating constraints, whereas in deregulated environment, the objective is to maximize the profit of generating companies (GENCO’s), while it is not mandatory to meet the demand constraint. The other constraints considered in this problem are demand, capacity limit and spinning reserve. The effectiveness of LR-GA method is tested with 3-unit 12-hour and 10-unit 24-hour test systems.

Keywords


Deregulation, Generating Companies, Genetic Algorithm, Lagrangian Relaxation and Unit Commitment.