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ABSTRACT
This paper presents a novel emission/reliable/economic dispatch (ERED) problem using a newly developed multi-objective cuckoo search algorithm (CSA). Traditionally, electric power systems are operated in such a way that the total fuel cost is minimized regardless of the emission and reliability level of the system. Recently, the restructured power system stresses the need for non-polluting, reliable, and economic operation. Hence, three conflicting objective functions such as emission, reliability, and fuel cost functions are considered in the practical economic dispatch (ED) problem. The ERED problem is formulated as a non-smooth and non-convex multi-objective ED problem incorporating valve-point effects of thermal units. The CSA utilizes the breeding behaviour of cuckoos, where each individual searches the most suitable nest to lay an egg (compromise solution) in order to maximize the egg's survival rate and achieve the best habitat society. The fuzzy set theory is used to find a best compromise solution from the Pareto-optimal set. The effectiveness of the proposed methodology is tested on a benchmark of 6-unit test system, IEEE RTS 24 bus system, and IEEE 118 bus system. The results are validated and compared with the solution available in the existing literature.
Additional information
Notes on contributors
K. Chandrasekaran
K. Chandrasekaran was born in India and received his Bachelor's of Engineering (Electrical and Electronics Engineering) and Master's of Engineering (Power system) at Anna University, Chennai, India in the year 2005 and 2007. He obtained his PhD, (Power System Engineering) at National Institute of Technology (NIT), Tiruchirappalli, India in the year 2012. Currently he is an assistant professor in the Department of Electrical and Electronics Engineering at National Institute of Technology Puducherry (NITPy), Karaikal, India.
His research interest includes Deregulation of Power system and Power Systems Planning and Reliability, Application of Swarm Intelligence to power system, Renewable generation system.
E-mail: [email protected]
Sishaj P. Simon
Sishaj Pulikottil Simon was born in India and received his Bachelor's of Engineering (Electrical and Electronics Engineering) and Master's of Engineering (Applied Electronics) at Bharathiar University, Coimbatore, India in the year 1999 and 2001. He obtained his PhD, (Power System Engineering) at Indian Institute of Technology (IIT), Roorkee, India in the year 2006. Currently he is an assistant professor in the Department of Electrical and Electronics Engineering at National Institute of Technology (NIT) (formerly Regional Engineering College), Tiruchirappalli, Tamil nadu, India.
He has taught courses in Basic Electrical Engineering, Power Systems Planning and Reliability, Artificial Intelligence and Artificial Neural Networks. His field of interest is in the area of Deregulation of Power System, Power System Operations and Control, Application of Artificial Intelligence, and New Optimization Techniques to Power System.
E-mail: [email protected]
Narayana Prasad Padhy
Narayana Prasad Padhy, born in India, Senior Member (2009) IEEE, received his PhD, (Power Systems Engineering) from Anna University, Chennai, India in the year 1997. He is working as a professor in the Department of Electrical Engineering, Indian Institute of Technology (IIT) Roorkee, India. During 2005-06 he worked as a Research Fellow in the Department of Electronics and Electrical Engineering, University of Bath, UK, under the BOYSCAST Fellowship from the Govt. of India. He has been awarded the Humboldt Research Fellowship for Experienced Researchers in 2009 to carry out research at University Duisburg-Essen, Germany. His research interests are in power systems analysis, pricing, economics, optimization and AI.
E-mail: [email protected]