Smarter Visual System of Generator Maintenance Scheduling Including Multi-Objective Functions by GA

摘要

Abstract: This paper proposes visualization system of generator maintenance scheduling considering various kinds of objective functions. The various kinds of objective functions include maximizing the reserve rate, maximizing probabilistic reliability and minimizing probabilistic production cost, minimizing CO 2 air pollution and maximizing satisfaction level of decision maker using fuzzy set theory. The probabilistic reliability objective includes LOLE (Loss of load expectation), EENS (Expected energy not served) and EIR(Energy index of reliability). Visualization of generator maintenance scheduling simulation systems is to compare each of the reliability, production cost and environmental according to each objective function. The practicality and effectiveness of the proposed approach are demonstrated in the simulation for a real-size power system model in Korea South-East Power CO. (KOSEP).