Optimizing Hybrid Renewable Energy Systems: A Review

Ghofrani, M.; Hosseini, Negar Niromand

doi:10.5772/65971

Cited by 18 publications

(10 citation statements)

References 70 publications

(55 reference statements)

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“…NLP is used to solve mathematical optimization problems in which some of the constraints and objective functions are nonlinear 192,193 . In the NLP method, the minimized or maximized objective function can be expressed in the following form 194 :

Minimize or maximize f ((), x),

Subjected to g_{i} ((), x) \leq 0 italicfor each i ({}, 1 \dots \dots p),

h_{j} ((), x) = 0 italicfor each j ({}, 1 \dots \dots q),

x \in X,

where, x is a subset of R n ; and f, g i , h j are real valued functions with i = {1… p }, j = {1… q }, in which one of the real valued functions are nonlinear.…”

Section: Progress Of Dsm Optimization Models and Applications Of Algomentioning

confidence: 99%

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Progress on the demand side management in smart grid and optimization approaches

et al. 2020

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The integration of demand side management (DSM) with smart grid (SG) can facilitate residents' transfer into smart homes and sustainable cities by reducing the carbon emission. This manuscript reviews the recent works related to the application of DSM in SG through discussing the techniques and algorithms and their associated challenges for effective implementation. This paper also critically discusses the operation mode of DSM, the profile of energy production, storage and consumption, and finally the benefit obtained by the DSM implementation. Previous literature suggested that DSM practice reduced peak-to-average ratio, energy cost and carbon emission by approximately 10% to 65%, 5% to 50%, and 14%, respectively. The implementation of DSM in SG deals with a number of challenges such as security and privacy, tariff regulation, energy transmission, distribution, and effective utilization of energy resources. A number of international organizations have taken various measures and solutions to guarantee the security and privacy of the DSM in SG discussed. So far, a number of algorithms have been used as optimization approach to solve the DSM optimization problems; however hybrid algorithms have showed better performance than single algorithms due to their faster convergence speed. At the end, the paper presents the research gaps and future research directions.

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Minimize or maximize f ((), x),

Subjected to g_{i} ((), x) \leq 0 italicfor each i ({}, 1 \dots \dots p),

h_{j} ((), x) = 0 italicfor each j ({}, 1 \dots \dots q),

x \in X,

where, x is a subset of R n ; and f, g i , h j are real valued functions with i = {1… p }, j = {1… q }, in which one of the real valued functions are nonlinear.…”

Section: Progress Of Dsm Optimization Models and Applications Of Algomentioning

confidence: 99%

“…The DP method is a mathematical optimization method that divides the problem into smaller sub‐problems. This method can solve sequential or multi‐stage problems 193 . In the DP method, the mathematical expression of a multi‐stage decision process can be written as follows 199,200 …”

Section: Progress Of Dsm Optimization Models and Applications Of Algomentioning

confidence: 99%

Progress on the demand side management in smart grid and optimization approaches

et al. 2020

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“…Our nations are to implement even at community level [5]. [6] and [7] reviewed some optimized hybridized renewable energy resources and provide a progressive data on the status of renewable energy in the present markets. The emphasis was placed on the potentials of combining numerous sources of energy into a hybrid renewable energy system.…”

Section: Related Literaturesmentioning

confidence: 99%

The development of an Android Applications Model for the Smart Micro-Grid Power Pool System Monitoring and Control

Jack,

Dike,

Obichere

et al. 2020

IJEAT

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This paper presents the conceptual Android Applications Model for the Smart Micro-Grid Power Pool Monitoring and Control Scheme. The Rational for Energy Sustainability is the focus of this work. Several hybrid formations are utilized on either standalone or off grid basis without formidable measures to monitor and control the system against energy wastage remotely. This research work proposed smart micro-grid integrated scheme with android enable operated softtouch human machine interface for the remote monitoring and control of the hybrid power pool system with its load shedding capability for Energy Sustainability. The optimize hybridized renewable energy resources harvested from the abundant wind, sun, water and bio-resources with the grid and Generator sources from Afikpo Local Government Area of Ebonyi State was considered as a research focal point. Proteus was used in designing system circuitries for the control and monitoring of the power pool system to ascertain its functionability. Arduino IDE was used in developing, monitoring and control algorithm for the system operation. The sublime text enables HTML, JAVA and CSS program for the android application implementation. The design provides a remote operated touch screen Human Machine interface for the pool resources to be centrally manage or control thus, eliminating energy wastage. Five communities where selected for this demonstration. The results reveal that the android enable remote soft touch human machine interface facilitates optimal energy operation. Further research work should be tailored towards developing a similar scheme using same approach for up to 10 communities in the similar local government areas to face out energy sabotage.

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“…Our nations are to implement even at community level (Biskas et al, 2013). Ghofrani and Hosseini (2016) and Bhandari et al (2015) reviewed some optimized hybridized renewable energy resources and provide a progressive data on the status of renewable energy in the present markets. The emphasis was placed on the potentials of combining numerous sources of energy into a hybrid renewable energy system.…”

Section: Literature Reviewmentioning

confidence: 99%

The Development of an Android Applications Model for the Smart Micro-Grid Power Pool System Monitoring and Control

Jack¹,

Dike²,

Obichere³

et al. 2020

Int. J. Electr. Power Eng.

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This study presents the conceptual Android applications model for the smart micro-grid power pool monitoring and control scheme. The rational for energy sustainability is the focus of this research. Several hybrid formations are utilized on either standalone or off grid basis without formidable measures to monitor and control the system against energy wastage remotely. This research work proposed smart micro-grid integrated scheme with android enable operated soft-touch human machine interface for the remote monitoring and control of the hybrid power pool system with its load shedding capability for energy sustainability. The optimize hybridized renewable energy resources harvested from the abundant wind, sun, water and bio-resources with the grid and generator sources from afikpo local government area of Ebonyi state was considered as a research focal point. Proteus was used in designing system circuitries for the control and monitoring of the power pool system to ascertain its functionability. Arduino IDE was used in developing, monitoring and control algorithm for the system operation. The sublime text enables HTML, JAVA and CSS program for the android application implementation. The design provides a remote operated touch screen human machine interface for the pool resources to be centrally manage or control thus, eliminating energy wastage. Five communities where selected for this demonstration. The results reveal that the android enable remote soft touch human machine interface facilitates optimal energy operation. Further research work should be tailored towards developing a similar scheme using same approach for up to 10 communities in the similar local government areas to face out energy sabotage.

show abstract

Optimizing Hybrid Renewable Energy Systems: A Review

Cited by 18 publications

References 70 publications

Progress on the demand side management in smart grid and optimization approaches

Progress on the demand side management in smart grid and optimization approaches

The development of an Android Applications Model for the Smart Micro-Grid Power Pool System Monitoring and Control

The Development of an Android Applications Model for the Smart Micro-Grid Power Pool System Monitoring and Control

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