Cuckoo Search Algorithm for Emission Reliable Economic Multi-objective Dispatch Problem

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.