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Microgrids have become a preferred source of energy for remote locations due to their relative reliability and minimal operational cost. In this work, the optimal operational dispatch of an islanded microgrid consisting of a Combined Heat and Power (CHP) generator and PV generator is considered. The power sources must satisfy the load and heat demand whilst simultaneously minimizing the daily operational...
This work proposes a new meta-heuristic called Grey Wolf Optimizer (GWO) which inspired by grey wolves (Canis lupus). The GWO algorithm mimics the leadership hierarchy and hunting mechanism of grey wolves in nature. Four types of grey wolves such as alpha, beta, delta, and omega are employed for simulating the leadership hierarchy. In addition, the three main steps of hunting, searching for prey,...
In this paper an Economic Emission Dispatch (EED) problem is proposed to investigate the emission control. The current energy consumption is weighing heavily on fossil fuels which account for about 70–90% of total energy used. These fossil fuels produce harmful gaseous emissions such as nitrogen oxides (NOx), sulphur dioxide (SO2) and carbon dioxide (CO2) which cause hazardous effects in the atmosphere...
The appropriate dispatch of Load Shifting Devices (LSD) and Renewable Energy Sources (RES) is still a challenging issue for the Remote Community (RC). This paper analyzes three techniques for the economic dispatch of a RC microgrid that implements RES and LSDs as in the case of Energy Storage Systems (ESS) to a diesel infrastructure. Two online or period-ahead techniques are compared to an offline...
This paper presents a fuzzy controlled parallel particle swarm optimization approach based decomposed network (FCP-PSO) to solving the large economic power dispatch with non-smooth cost fuel functions. The proposed approach combines practical experience extracted from global database formulated in fuzzy rules, the adaptive PSO executed in parallel based in decomposed network procedure as a local search...
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