Optimal energy management of a grid-connected micro-hydrokinetic with pumped hydro storage system

Koko, Sandile Phillip; Kusakana, K.; Vermaak, H.J.

doi:10.1016/j.est.2017.09.007

Cited by 20 publications

(11 citation statements)

References 20 publications

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“…The biggest number of researches can be covered under the cost minimization studies [94][95][96][97][98][99][100][101][102][103] using LP or nonlinear programming (NLP) method. Alharbi and Bhattacharya 94 studied the net present value of the storage systems with a stochastic and linear approaches combined.…”

Section: Studies With Economic Objectivesmentioning

confidence: 99%

“…Alharbi and Bhattacharya 94 studied the net present value of the storage systems with a stochastic and linear approaches combined. Kim et al 95 tried the total setup cost minimization for an islanded MG. Koko et al 96 was focused on cost minimization for an outstanding MG of a micro‐hydrokinetic system and a pumped hydro storage system.…”

Section: Reviewed Studies and Analysesmentioning

confidence: 99%

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Review and clustering of optimal energy management problem studies for industrial microgrids

Bektas

Kayakutlu

2020

Int J Energy Res

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The optimal energy management problem of microgrids is an agenda item for the energy field. Especially industrial microgrids, whose energy demand is high and uninterruptible, need to be managed by a holistic view of optimization. Technical researches in this field are to be enriched with the literature review that looks through various angles. In the scope of this paper, the research literature is reviewed deeply and analyzed with the aim of presenting the gaps. Articles written in English, in the period of 2010 to 2019 have been revised thoroughly. By eliminating the search results, 105 relevant articles have been determined. Objective(s), criteria for analysis, processes included, power source(s), storage system, other system components and methodology of each article have been studied. The literature has been summarized, it has been seen that solar, wind, and diesel sources are used in about 82%, 55%, and 16% of articles, respectively. Then, they have been clustered using self-organizing maps. Nine clusters have been obtained which separate the articles clearly. Especially, three of them which have fewer data have been analyzed. Clustering results have been interpreted and utilized to show the research openings. Achievements of this study will lead the scientific research that will fill in the gaps.

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Section: Studies With Economic Objectivesmentioning

confidence: 99%

Section: Reviewed Studies and Analysesmentioning

confidence: 99%

Review and clustering of optimal energy management problem studies for industrial microgrids

Bektas

Kayakutlu

2020

Int J Energy Res

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“…As already mentioned, electrical energy cannot be stored (at least in enormous quantities), so it is necessary to generate it at the same time as it is needed. This situation means that at the very moment when a dedicated appliance is turned on, there must be a power plant (or any other type of electricity generator) that produces the necessary electricity [39].…”

Section: Digital Substations Controlmentioning

confidence: 99%

Effectiveness and Comparison of Digital Substations Over Conventional Substations

Waleed¹,

Virk²,

Riaz³

et al. 2019

Adv. sci. technol. eng. syst. j.

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The entire electrical system is changing at an abrupt speed since its beginning. With the rapid advance of renewable energies (which are constantly subject to fluctuations), the electricity generation is distributed to countless locations. The traditional model of the unidirectional flow of electricity is leaning towards multidirectional flows. This situation needs significant changes in the transport infrastructure of the electrical power system and mode of operation. Technological advancements are making a smarter and more organized management system of electricity supply and demand. This development needs to incorporate modern communication, monitoring, and control capabilities, along with the intelligent transport, generation, and storage value chain. Digital substations integrate thousands of sensors by providing greater comfort, self-reliance, availability, and safety while at the same time reducing costs, risks, and environmental damage. Conventional power system lacks digital communication, remote monitoring & control, and consumer participation. Fiber-optic cabling in digital substations will attain not only real-time data transmission but also remote maintenance. The comparison between conventional and digital substations has also been presented in this work along with latest trends in smart protection. Electronic protection and control devices based on a microprocessor, communicating with cloud servers, will enhance the flexibility to control and monitor the digital substations. A significant amount of data generated by components in the electrical substations will allow greater sophistication of the monitoring, diagnostic, protection and optimization capabilities of the facilities. The goal for the review of said advancements is to have a smart electrical system with greater efficiency and better user experience.

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“…This prompts the requirement for an ideal hybrid system energy management strategy. [7][8][9][10][11] Hydrokinetic innovation is a promising sustainable power source innovation that has been appeared to produce altogether preferred and less expensive electricity over solar and wind systems. 7,8 In contrast to conventional hydroelectric generation, hydrokinetics need not bother with a water charge to create electricity.…”

Section: Introductionmentioning

confidence: 99%

“…[12][13][14] It might deliver electricity when speed of streaming water assets extends between 0.50 m/s as well as higher. 9 It has been appeared for deliver power electricity all the more monetarily whenever utilized at mix with pumped hydroelectric storage (PHS) system rather than BESS. 12 PHS framework has demonstrated with generally solid, practical and productive vitality stockpiling framework.…”

Section: Introductionmentioning

confidence: 99%

Efficient energy management of hybrid renewable energy sources‐based smart‐grid system using a hybrid IDEA‐CFA technique

Kommula

Song

Liang

et al. 2021

Int Trans Electr Energ Syst

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A hybrid technique-based energy management scheme for optimal sizing of solar, wind, battery along the integral of pumped hydro storage (PHS) is presented in this paper. The suggested control scheme is the consolidated implementation of both Improved Dolphin Echolocation Algorithm (IDEA) and Cuttlefish Algorithm (CFA). Searching behavior of Dolphin Echolocation Algorithm (DEA) is changed through utilizing productive search capacities such as levy flight, so it is known as IDEA. The prominent intension of this work is the List of symbols and abbreviations: P rat , rated output power of solar PV; G h , hourly solar radiation (W/m 2 ); α p , temperature of power coefficient; T s , standard test conditions under PV cell temperature; s, scale factor along condition of r > 0 as well as s > 0; R, random variable of wind speed; v Rated , wind speed at rated; v o , cut-out speed of wind; R a , internal resistance; C i , incipient capacitance; R b , terminal ohmic resistance; C PV , C WT , C PHS , C BESS , annualized total cost of PV, WT, PHS, BESS; C gs , total price of electricity sold to the grid ($/yr) annually; C PHS AC rep ð Þ , annualized replacement cost of PHS; C MT Cap , initial capital cost of PHS; β, lifetime as years; y, lifetime of the PHS device in years; P HP , PHS nominal power; β j , externality cost of emission type; C i , fuel consumption rate of generating unit; M, emission types; P G , grid output power; P PV , output power of PV; P Ls , transmission losses; i, j, generator index; P max bc , P max bd , maximal power to charge as well as discharge the battery; P max l , upper limit of transmission power; P Gmax (l), maximum generating power of PHS unit; P Pmax (l), maximum pumping power of the PHS unit; Q Pmin (l), Q Pmax (l), minimum and maximum water discharge of PHS unit at pumping mode; V Umin (l), V Umax (l), PHS unit minimal and maximal volume of the upper reservoir; V U (l, t), V L (l, t), PHS unit upper and lower reservoir volume at hour t; V U0 (l), V L0 (l), initial volume of PHS unit upper as well as lower reservoir; M, load demand; f i (c), annualized capital cost; Φ ij , accumulative fitness; ⊕, entry-wise multiplications; R, random number between (0, 1); f, numbers of inputs; {C 13 , C 18 , C 30 }, from unselected costs, costs are randomly selected; IDEA, Improved Dolphin Echolocation Algorithm; DEA, Dolphin Echolocation Algorithm; CDF, cumulative distribution function; HRES, hybrid renewable energy sources; ANFIS-EHO, adaptive neuro fuzzy interference system with elephant herding optimization; PV, photovoltaic; BESS, battery energy storage system; f loss , loss factor of solar PV; G s , standard incident radiation (1000 W/m2); T c , current step time in the PV cell temperature; r, radio factor; v, wind speed; P Rated , rated output power of wind; v i , cut-in speed of wind; P w , wind output power; V oc , open circuit voltage; C p , polarization capacitance; AC, annualized cost of the system; C gp , total price ($/yr) of electricity purchased from grid annually; C PHS AC Cap ð Þ , annual...

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Optimal energy management of a grid-connected micro-hydrokinetic with pumped hydro storage system

Cited by 20 publications

References 20 publications

Review and clustering of optimal energy management problem studies for industrial microgrids

Review and clustering of optimal energy management problem studies for industrial microgrids

Effectiveness and Comparison of Digital Substations Over Conventional Substations

Efficient energy management of hybrid renewable energy sources‐based smart‐grid system using a hybrid IDEA‐CFA technique

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