Multi-objective optimization and the effect of the economic factors on the design of the Microgrid hybrid system

Abstract The hybrid microgrid system is based principally on renewable energy resources to avoid problems encountered from the use of conventional energy sources. The paper deals with the sizing problem of the hybrid microgrid system that consists of multiple resources, otherwise, a method to compare the multi-objective algorithms is proposed based on the Six Sigma approach. Three multi-objective optimization algorithms, namely MOPSO, PESA II, and SPEA2 are applied to design the hybrid PV/wind/diesel/battery system. Furthermore, three objective functions are considered; the Net Present Cost, the penalty cost of emission and the quantity of the CO2 released into the atmosphere, subject to multiple constraints such as LPSP (system reliability), the availability and renewable fraction. Besides that, this paper evaluated the project feasibility by calculating the LCOE and the dumped energy quantity that will be consumed by a dump load. The results showed that the SPEA2 is the better algorithm using the probabilistic and statistical approach of Six Sigma with a hybrid power system of 24445 $ as NPC. It is observed that the microgrid design which respect the reliability and availability both has more credibility. However, the microgrid designed satisfied all constraints with a competitive cost of energy.