Differential Evolution with Parameter Adaptation Strategy for an Optimal Dispatch of Residential Distributed Energy Sources

Venkatakrishnan, G. R.; Rengaraj, R.

doi:10.1166/jctn.2017.7047

Cited by 5 publications

(6 citation statements)

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“…The universal speed of Ultrasonic wave at room conditions is 330 m/s. The circuitry inbuilt on the module will calculate the time taken for the wave to reflect and turns on the echo pin for that same particular amount of time, this way we can also know the time taken [12].…”

Section: Scaling and Measurement Of Valuesmentioning

confidence: 99%

“…The typical faults are open circuit, overheating, and winding faults. It is necessary to monitor its parameters and keep them under restricted values [12]. For the measurement of electrical parameters, MFM384-C meter is used, which has been explained in Section 2.3.1.…”

Section: Measurement Of Electrical Parametersmentioning

confidence: 99%

“…GSM module is often interfaced with the microcontroller (like PIC, AVR) through the level shifter IC Max232. The SIM card mounted GSM module receives digit command from any cell phone as SMS and sends the data to the microcontroller [12]. While the program for the microcontroller is executed, the GSM modem receives a "stop" command for developing an output at the microcontroller, whose contact point is used to disable the ignition switch [17].…”

Section: Sim 900a Gsmmentioning

confidence: 99%

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An Experimental Setup for Monitoring Distribution Transformer Health

Venkatakrishnan¹,

Rengaraj²,

Velumani³

2021

DGAEJ

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The Distribution transformers are the most expensive and important component which are used for transmission and distribution of electrical energy. It is imperative that the transformers function correctly without any faults, and should any faults occur, the same should be detected and corrected as soon as possible to prevent the failure of the power system to supply power. Health monitoring systems of distribution transformers are used to diagnose the distribution transformer and to deduce its working condition under the occurrence of incipient faults. This paper presents a model of a health monitoring system for distribution transformers in a laboratory environment. The proposed model ensures that faults do not disrupt the regular supply of power.

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Section: Scaling and Measurement Of Valuesmentioning

confidence: 99%

Section: Measurement Of Electrical Parametersmentioning

confidence: 99%

Section: Sim 900a Gsmmentioning

confidence: 99%

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An Experimental Setup for Monitoring Distribution Transformer Health

Venkatakrishnan¹,

Rengaraj²,

Velumani³

2021

DGAEJ

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“…But the success of DE algorithm depends on the choice of parameters like population size np, mutation rate Fand crossover rate CRvaries its performance (searching accuracy and convergence speed). Hence, in [22], an improved version of DE algorithm is implemented to solve the above complex non-linear problems. In this paper, that modified DE algorithm is being used to optimize the various parameters of the HRES system in [23], and the objective function is to minimize the final system cost.…”

Section: Introductionmentioning

confidence: 99%

Implementation of Modified Differential Evolution Algorithm for Hybrid Renewable Energy System

Venkatakrishnan¹,

Rengaraj²,

Sathish³

et al. 2021

J. Nig. Soc. Phys. Sci.

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A hybrid renewable energy system, which could provide a reliable energy alternative for conventional Battery systems is implemented in this paper. The primary requirement is that the hybrid energy system should be cost-effective while meeting the energy demand. The hybrid system is implemented to a area located in Uttarakhand, India using solar photovoltaic cells to supply power during hot and humid conditions and using wind turbine generators to supply power during windy conditions. The wind turbine generators and photovoltaic cells are used in a combined manner along with the diesel generators as in case if it fails to meet the demand. In order to meet the requirements, modified Differential Evolution (DE) Algorithm is being implemented. Moreover, the effectiveness of the performance is evaluated by comparing the results obtained from modified DE with other optimization algorithms. In comparison with other optimization algorithms, results indicate that the implementation of the modified DE algorithm helps in obtaining the best cost effective solution for the system along with meeting the energy demand.

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“…[24][25][26] Also, the coordinated operation technique is proposed to improve the convenience of electric vehicles and sustainable power source, where DS replaces the two-layer frame by customary layer serving conventional burdens and novel layer that interact to sustainable power source and electric vehicles. 27,28 Extraordinarily, a few researches consider the administration nature of EVCS incorporated to DS that is the basic for the backup program. To augment the utility of EVCS, the EVCS are associated with the DS by new queuing system model, and takes into account the EVCS nature of administration.…”

mentioning

confidence: 99%

Optimally manage the energy between electric vehicle charging stations and electricity distribution system: A hybrid technique

Venkatakrishnan

Rengaraj

Prakash³

2021

Int J Numerical Modelling

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In this manuscript, the energy trading model is proposed for investigating the cooperative benefits between several electric vehicle charging stations (EVCSs) and integrated energy systems (IES) based on hybrid system. The proposed hybrid system is combination of Radial‐Basis Function Neural Network (RBFNN) and artificial transgender longicorn algorithm (ATLA), hence it is called RBFNN‐ATLA technique. Initially, the RBFNN approach manages the energy between IES and EVCSs. After that, the original issue breaks down into the main energy trade and payment negotiation issue. The energy trading issue and payment negotiation problem can be solved using ATLA approach. This proposed structure may not only diminish the IES cost, however also enlarge the EVCS profit. The uncertainties in electricity and renewable energy prices are modeled using a robust optimization technique. Additionally, the integrated demand response is modeled for maximizing operational performance. The distributed algorithm depends on the proposed technique is evolved for solving the issue of energy trading, ensuring the privacy of players. The proposed algorithm may obtain the global optimal solutions devoid of adjusting the parameter compared with existing algorithm. The proposed system is performed by the matrix laboratory (MATLAB)/Simulink and the performance is evaluated with other existing methods. The RBFNN‐ATLA method reduces the cost up to 3.76%, 7.793%, 8.210% and 9.01% for independent and cooperative mode. The experimental outcomes demonstrate that the proposed system can accurately detect that optimal global solution.

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Differential Evolution with Parameter Adaptation Strategy for an Optimal Dispatch of Residential Distributed Energy Sources

Cited by 5 publications

References 0 publications

An Experimental Setup for Monitoring Distribution Transformer Health

An Experimental Setup for Monitoring Distribution Transformer Health

Implementation of Modified Differential Evolution Algorithm for Hybrid Renewable Energy System

Optimally manage the energy between electric vehicle charging stations and electricity distribution system: A hybrid technique

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