Reliable and Environmental Economic Dispatch in a Microgrid with Renewable Energy Sources

Hagh, Mehrdad Tarafdar; Pouyafar, Saeed; Sohrabi, Farnaz; Shaker, Ayda; Vahid-Ghavidel, Morteza; Catalão, João P. S.; Shafie-khah, Miadreza (2019-08-26)
 
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https://doi.org/10.1109/PTC.2019.8810462

Hagh, Mehrdad Tarafdar
Pouyafar, Saeed
Sohrabi, Farnaz
Shaker, Ayda
Vahid-Ghavidel, Morteza
Catalão, João P. S.
Shafie-khah, Miadreza
IEEE
26.08.2019
doi:10.1109/PTC.2019.8810462
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https://urn.fi/URN:NBN:fi-fe202102195380

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This paper contrasts the Genetic Algorithm (GA) strategies to solve the problem of Economic Dispatch (ED) in a Microgrid (MG). An environmental ED strategy for MG is proposed through maintaining the system reliability requirements at acceptable level. Two additional cost terms such as the CO 2 emission penalties and load curtailment charges are added to the traditional objective function of the ED problem. Also, cost and reserve supply of the network are considered. Since the load curtailment cost is highly dependent to the network reliability indices, specifically those determining network inability to supply demand, the Expected Energy Not Served (EENS) reliability index is used to calculate the curtailment costs. By illustrating the advantages of Inherit Based Genetic Algorithm (IBGA) over the other two strategies, namely Simple Genetic Algorithm (SGA) and 3-matrices Genetic Algorithm (3MGA), IBGA is used to solve the proposed Reliable, Environmental Economic Dispatch (REED) problem in a MG.
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