The economic dispatch (ED) problem is one of the important optimization problems in power system operation. Recently the power system has stressed the need for reliable, nonpolluting, and economic operation. Hence, 3 conflicting functions of reliability, emission, and fuel cost are considered in the objective function of the proposed ED problem. The problem is formulated as a nonsmooth and nonconvex problem when the valve-point effects of thermal units are considered in the proposed reliable emission and economic dispatch (REED) problem. This paper presents a multiobjective optimization methodology for solving the newly developed REED problem using a fuzzified artificial bee colony algorithm. The artificial bee colony algorithm is used to schedule the optimal dispatch and fuzzy membership approach is used to find the best compromise solution from the Pareto optimal set. The methodology is validated on an IEEE 30-bus system and 3-, 6-, 10-, 26-, and 40-unit systems and the results are compared with the existing literature. The results clearly show that the proposed method is able to produce well-distributed Pareto optimal solutions when compared with other methods reported in the literature.
Artificial bee colony algorithm, reliable emission and economic dispatch problem, fuzzy set theory
KOODALSAMY, CHANDRASEKARAN and SIMON, SISHAJ PULIKOTTIL
"Fuzzified artificial bee colony algorithm for nonsmooth and nonconvex multiobjective economic dispatch problem,"
Turkish Journal of Electrical Engineering and Computer Sciences: Vol. 21:
7, Article 14.
Available at: https://journals.tubitak.gov.tr/elektrik/vol21/iss7/14