Optimal economic–emission power scheduling of RERs in MGs with uncertainty
This study proposes a framework for economic–emission dispatch problem (EEDP) in microgrids (MGs). The problem of EEDP aims at finding the optimal scheduling of renewable energy resources (RERs) in isolated and grid-connected MGs. The EEDP is formulated as a non-linear constrained multi-objective op...
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| Vydané v: | IET generation, transmission & distribution Ročník 14; číslo 1; s. 37 - 52 |
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| Hlavní autori: | , , , |
| Médium: | Journal Article |
| Jazyk: | English |
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The Institution of Engineering and Technology
01.01.2020
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| ISSN: | 1751-8687, 1751-8695 |
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| Abstract | This study proposes a framework for economic–emission dispatch problem (EEDP) in microgrids (MGs). The problem of EEDP aims at finding the optimal scheduling of renewable energy resources (RERs) in isolated and grid-connected MGs. The EEDP is formulated as a non-linear constrained multi-objective optimisation problem. It minimises the total cost and emission simultaneously. Simulation results in nine different cases are conducted to emulate the complexity of the EEDP. Also, the proposed scheduling procedure is tested under abnormal operation of MGs considering unexpected increase in power demand, shortage of battery storage and partial shedding of photovoltaic units. These cases reveal the capability of the proposed method. A multi-objective function is employed to increase the economic benefits and minimise emission issues. In this line, the simulation results are obtained using an enhanced moth-flame optimisation (EMFO) algorithm. The obtained results verified the effectiveness, robustness and global convergence for minimising emission and generation costs. These results are compared with several well-known techniques in the literature. Notable economic and environmental benefits are achieved using the EMFO that lead to flexible scheduling of RERs for MG operation under uncertainty. |
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| AbstractList | This study proposes a framework for economic–emission dispatch problem (EEDP) in microgrids (MGs). The problem of EEDP aims at finding the optimal scheduling of renewable energy resources (RERs) in isolated and grid-connected MGs. The EEDP is formulated as a non-linear constrained multi-objective optimisation problem. It minimises the total cost and emission simultaneously. Simulation results in nine different cases are conducted to emulate the complexity of the EEDP. Also, the proposed scheduling procedure is tested under abnormal operation of MGs considering unexpected increase in power demand, shortage of battery storage and partial shedding of photovoltaic units. These cases reveal the capability of the proposed method. A multi-objective function is employed to increase the economic benefits and minimise emission issues. In this line, the simulation results are obtained using an enhanced moth-flame optimisation (EMFO) algorithm. The obtained results verified the effectiveness, robustness and global convergence for minimising emission and generation costs. These results are compared with several well-known techniques in the literature. Notable economic and environmental benefits are achieved using the EMFO that lead to flexible scheduling of RERs for MG operation under uncertainty. |
| Author | Kaddah, Sahar S Elsaid, Mohammed I El-Sehiemy, Ragab A Elsakaan, Asmaa A |
| Author_xml | – sequence: 1 givenname: Asmaa A orcidid: 0000-0002-0274-5386 surname: Elsakaan fullname: Elsakaan, Asmaa A email: Asmaa_Alsagaan2012@kfs.edu.eg organization: 1Department of Electrical Engineering, Faculty of Engineering, Kafrelsheikh University, Kafrelsheikh, Egypt – sequence: 2 givenname: Ragab A orcidid: 0000-0002-3340-4031 surname: El-Sehiemy fullname: El-Sehiemy, Ragab A organization: 1Department of Electrical Engineering, Faculty of Engineering, Kafrelsheikh University, Kafrelsheikh, Egypt – sequence: 3 givenname: Sahar S surname: Kaddah fullname: Kaddah, Sahar S organization: 2Department of Electrical Engineering, Faculty of Engineering, Mansoura University, Mansoura, Egypt – sequence: 4 givenname: Mohammed I surname: Elsaid fullname: Elsaid, Mohammed I organization: 3Department of Communication and Electronics, Delta Higher Institute of Technology, Mansoura, Egypt |
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| Copyright | The Institution of Engineering and Technology 2020 The Authors. IET Generation, Transmission & Distribution published by John Wiley & Sons, Ltd. on behalf of The Institution of Engineering and Technology |
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| Keywords | multiobjective optimisation problem minimise emission issues distributed power generation load dispatching EEDP isolated grid-connected MGs nonlinear power generation economics optimisation generation costs scheduling economic–emission dispatch problem optimal scheduling renewable energy sources multiobjective function minimising emission power distribution economics renewable energy resources power generation dispatch flexible scheduling optimal economic–emission power scheduling RERs unexpected increase scheduling procedure environmental benefits enhanced moth-flame optimisation algorithm power demand notable economic benefits |
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| Snippet | This study proposes a framework for economic–emission dispatch problem (EEDP) in microgrids (MGs). The problem of EEDP aims at finding the optimal scheduling... |
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| SubjectTerms | distributed power generation economic–emission dispatch problem EEDP enhanced moth‐flame optimisation algorithm environmental benefits flexible scheduling generation costs isolated grid‐connected MGs load dispatching minimise emission issues minimising emission multiobjective function multiobjective optimisation problem nonlinear notable economic benefits optimal economic–emission power scheduling optimal scheduling optimisation power demand power distribution economics power generation dispatch power generation economics renewable energy resources renewable energy sources RERs Research Article scheduling scheduling procedure unexpected increase |
| Title | Optimal economic–emission power scheduling of RERs in MGs with uncertainty |
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