Marine predators algorithm for load frequency control of modern interconnected power systems including renewable energy sources and energy storage units
Load frequency control (LFC) serves a critical purpose in modern power systems, controlling system frequency and tie-line power flow. Nowadays, the power systems are integrated with an effective contribution of renewable energy sources (RESs). This paper broaches a modern power grid paradigm includi...
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oai:doaj.org-article:d2f2e848afec44cbbddc87645cd568bc2021-11-22T04:23:10ZMarine predators algorithm for load frequency control of modern interconnected power systems including renewable energy sources and energy storage units2090-447910.1016/j.asej.2021.04.031https://doaj.org/article/d2f2e848afec44cbbddc87645cd568bc2021-12-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S2090447921002203https://doaj.org/toc/2090-4479Load frequency control (LFC) serves a critical purpose in modern power systems, controlling system frequency and tie-line power flow. Nowadays, the power systems are integrated with an effective contribution of renewable energy sources (RESs). This paper broaches a modern power grid paradigm including conventional generators considering non-linearities, in addition to RESs and energy storage (ES) units for the study of LFC issue. Three forms of RESs are involved in the study, which are wind, photovoltaic and solar thermal. Besides, the system paradigm contains two types of ES units which are superconducting magnetic energy storage (SMES) and battery energy storage (BES). The controllers used for the system model analysis are proportional-integral-derivative (PID) controllers. The optimum design of the controller is established using a novel optimization approach which is a Marine Predators Algorithm (MPA). To certify the realistic credibility of the proposed algorithm, real data are imported to the RESs. The efficacy of the applied MPA-tuned controller is contrasted with that tuned by other competing evolutionary algorithms. The simulation outcomes demonstrate the credibility of the suggested control scheme. Also, the results ensure the role of ES units in enhancing the time-domain transient responses. The simulation findings are acquired through MATLAB framework.Mohamed A. SobhyAlmoataz Y. AbdelazizHany M. HasanienMohamed EzzatElsevierarticleLoad frequency controlMPAEnergy storage systemsRenewable energy sourcesEngineering (General). Civil engineering (General)TA1-2040ENAin Shams Engineering Journal, Vol 12, Iss 4, Pp 3843-3857 (2021) |
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Load frequency control MPA Energy storage systems Renewable energy sources Engineering (General). Civil engineering (General) TA1-2040 |
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Load frequency control MPA Energy storage systems Renewable energy sources Engineering (General). Civil engineering (General) TA1-2040 Mohamed A. Sobhy Almoataz Y. Abdelaziz Hany M. Hasanien Mohamed Ezzat Marine predators algorithm for load frequency control of modern interconnected power systems including renewable energy sources and energy storage units |
description |
Load frequency control (LFC) serves a critical purpose in modern power systems, controlling system frequency and tie-line power flow. Nowadays, the power systems are integrated with an effective contribution of renewable energy sources (RESs). This paper broaches a modern power grid paradigm including conventional generators considering non-linearities, in addition to RESs and energy storage (ES) units for the study of LFC issue. Three forms of RESs are involved in the study, which are wind, photovoltaic and solar thermal. Besides, the system paradigm contains two types of ES units which are superconducting magnetic energy storage (SMES) and battery energy storage (BES). The controllers used for the system model analysis are proportional-integral-derivative (PID) controllers. The optimum design of the controller is established using a novel optimization approach which is a Marine Predators Algorithm (MPA). To certify the realistic credibility of the proposed algorithm, real data are imported to the RESs. The efficacy of the applied MPA-tuned controller is contrasted with that tuned by other competing evolutionary algorithms. The simulation outcomes demonstrate the credibility of the suggested control scheme. Also, the results ensure the role of ES units in enhancing the time-domain transient responses. The simulation findings are acquired through MATLAB framework. |
format |
article |
author |
Mohamed A. Sobhy Almoataz Y. Abdelaziz Hany M. Hasanien Mohamed Ezzat |
author_facet |
Mohamed A. Sobhy Almoataz Y. Abdelaziz Hany M. Hasanien Mohamed Ezzat |
author_sort |
Mohamed A. Sobhy |
title |
Marine predators algorithm for load frequency control of modern interconnected power systems including renewable energy sources and energy storage units |
title_short |
Marine predators algorithm for load frequency control of modern interconnected power systems including renewable energy sources and energy storage units |
title_full |
Marine predators algorithm for load frequency control of modern interconnected power systems including renewable energy sources and energy storage units |
title_fullStr |
Marine predators algorithm for load frequency control of modern interconnected power systems including renewable energy sources and energy storage units |
title_full_unstemmed |
Marine predators algorithm for load frequency control of modern interconnected power systems including renewable energy sources and energy storage units |
title_sort |
marine predators algorithm for load frequency control of modern interconnected power systems including renewable energy sources and energy storage units |
publisher |
Elsevier |
publishDate |
2021 |
url |
https://doaj.org/article/d2f2e848afec44cbbddc87645cd568bc |
work_keys_str_mv |
AT mohamedasobhy marinepredatorsalgorithmforloadfrequencycontrolofmoderninterconnectedpowersystemsincludingrenewableenergysourcesandenergystorageunits AT almoatazyabdelaziz marinepredatorsalgorithmforloadfrequencycontrolofmoderninterconnectedpowersystemsincludingrenewableenergysourcesandenergystorageunits AT hanymhasanien marinepredatorsalgorithmforloadfrequencycontrolofmoderninterconnectedpowersystemsincludingrenewableenergysourcesandenergystorageunits AT mohamedezzat marinepredatorsalgorithmforloadfrequencycontrolofmoderninterconnectedpowersystemsincludingrenewableenergysourcesandenergystorageunits |
_version_ |
1718418249997090816 |