Optimum utilization of grid connected hybrid renewable energy sources using hybrid algorithm

Muthusamy, Suresh; Meenakumari, R.

doi:10.1177/0142331220913740

Cited by 25 publications

(11 citation statements)

References 47 publications

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“…Here, the proposed approach was the combination of both the modified-elephant herding optimization algorithm with Tabu search algorithm named as MEHOTSA. Suresh and Meenakumari 27 have provided an optimal utilization of smart grid connected hybrid renewable energy sources. The hybrid technique was the combination of recurrent neural network and adaptive whale optimization algorithm plus Tabu search, called AWOTS.…”

Section: Recent Research Work: a Brief Reviewmentioning

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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Section: Recent Research Work: a Brief Reviewmentioning

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

View full text Add to dashboard Cite

show abstract

“…To solve the optimization scheduling problem, the authors proposed an ant colony algorithm [19]. In [20], the authors applied a combination of Tabu search (TS) and the particle swarm optimization (PSO) algorithm to solve a planning problem. In [21], the authors used general algebraic modeling system (GAMS) software to model the stochastic problem and, by implementing a mixed-integer linear program, achieved all of the optimal solutions.…”

Section: Introductionmentioning

confidence: 99%

Optimal Techno-Economic Planning of a Smart Parking Lot—Combined Heat, Hydrogen, and Power (SPL-CHHP)-Based Microgrid in the Active Distribution Network

2021

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By installing distributed generation (DG) sources in a distribution system, there is a change from the inactive state, accompanied by one-way power flow, to the active state, with the possibility of bilateral power flow. Authorities involved in the electricity industry manage the consumption side by bringing in particular programs called demand response programs. To implement these programs, it is crucial to create infrastructure, including the installation of smart measuring units in the consumption sector. In this paper, we investigate the optimal design of smart meters and combined hydrogen, heat, and power in the active distribution system to provide two functions aimed at reducing voltage drop and minimizing the total planning costs by taking different scenarios into account. In the combined hydrogen, heat, and power (CHHP)-based DGs, due to the low efficiency of the electrolyzer, its power is supplied by a smart parking lot (including wind turbines, photovoltaic systems, and batteries). To model the unit’s uncertainties, a long short-time memory (LSTM) model is employed. Utilizing the technique for order preference by similarity to ideal solution (TOPSIS), a state that enhances both functions is acquired from different scenarios. All of the simulations are carried out in two 33-bus systems.

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“…However, SGs should cover a wide spectrum of demands, for example, user engagement/empowerment [4], renewable energy trading support [5], building renovations [6], optimum utilisation techniques [7] and resiliency (integration, and cyber and physical risks).…”

Section: Introductionmentioning

confidence: 99%

An Innovative Smart Grid Framework for Integration and Trading

Silva

O’Regan

2021

E3S Web Conf.

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Smart Grids (SGs) are at the forefront of the renewable resources transformative change for power generation. Due to its decentralised energy generation approach and potential reduction of the cost of power, its relevance for the energy sector is insurmountable. However, new business models and processes are necessary, and they come with integration, implementation, and operation-specific challenges. This work offers a broad analysis of SG’ main architectural aspects concerning security issues, integration bottlenecks and standardisation shortcomings in the development of an efficient platform for local energy (generation and storage) surplus trading. Through a multi-layered smart grid architecture description, this work develops an in-depth depiction of the interoperability between these layers (from top business layer passing through information and communications layers, and down to generation and storage layers). Therefore, this paper encompasses a comprehensive framework to address central smart grids design aspects and suggests a path to integrate the smart grid components into a cohesive and manageable trading platform. Finally, this work demonstrates how the proposed framework can be applied to real market study cases to highlight its solutions, provide a critical evaluation of potential implementation pitfalls, and identify opportunities for further stateof-the-art research.

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Optimum utilization of grid connected hybrid renewable energy sources using hybrid algorithm

Cited by 25 publications

References 47 publications

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

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

Optimal Techno-Economic Planning of a Smart Parking Lot—Combined Heat, Hydrogen, and Power (SPL-CHHP)-Based Microgrid in the Active Distribution Network

An Innovative Smart Grid Framework for Integration and Trading

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