Spider Community Optimization Algorithm to Determine UPFC Optimal Size and Location for Improve Dynamic Stability

Sanjeevikumar, P.; Zand, Mohammad; Nasab, Morteza Azimi; Hanif, Mohammad; Bhaskar, Mahajan Sagar

doi:10.1109/ecce-asia49820.2021.9479149

Cited by 17 publications

(7 citation statements)

References 24 publications

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“…Here, there is an IEEE standard 33 bus system for modelling electric vehicles and finally the charging station, there are several uncertainties that are fully described in Chapter tow. In order to perform probabilistic functions, parameters related to probabilistic functions have been obtained from [5] and [6], which determine the probabilistic behaviour of vehicles and will be very effective in the final results. The parameters of these functions are according to Table 1.…”

Section: Problem Solving Algorithmmentioning

confidence: 99%

“…To calculate the values of alpha and beta in every hour, the standard deviation and the average of the sun's rays are needed, which are obtained according to the experimental data. These data are presented for each hour according to [5] in Tables 4 and 5.…”

Section: Problem Solving Algorithmmentioning

confidence: 99%

“…The price of energy per day is considered in Figure 3. It can be seen that in some middle hours of the day, energy prices are at their highest [5].…”

Section: Problem Solving Algorithmmentioning

confidence: 99%

“…FIGURE5 Location of elements in the network, charging stations (red), solar power plant (yellow), wind power plant (green), storage (purple), SVC (blue).…”

mentioning

confidence: 99%

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Optimal allocation of EVs parking lots and DG in micro grid using two‐stage GA‐PSO

Ahmadi

Rastgoo

Mahdavi

et al. 2023

The Journal of Engineering

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In this paper, the optimal allocation problem of the Electric Vehicles Parking Lots and DG in micro-grid is studied as a novel optimization problem. In the proposed problem, the different factors including the technical and the economic issues are considered for achieving a realistic solution. In addition, FACTS devices have been added to the network by considering the costs of installation, repair and maintenance, and their effecton the technical and economic parameters of the network has been investigated. Also, how to optimally charge and discharge storage devices and how to optimally inject active or reactive power by charging stations to improve energy management in the network has been studied. In order to evaluate the impact and reduce economic costs, the optimal number of distributed renewable energy, storage and FACTS equipment along with the optimal number of parking lots with Existence of different number of electric vehicles in the survey and microgrid network has been designed using a two-stage optimization method. The method is simulated on the standard IEEE 33 bus. The results show that the optimal power factor of parking lots can be determined during the unloading of vehicles in such a way that the technical parameter of the network is improved.

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Section: Problem Solving Algorithmmentioning

confidence: 99%

Section: Problem Solving Algorithmmentioning

confidence: 99%

“…The price of energy per day is considered in Figure 3. It can be seen that in some middle hours of the day, energy prices are at their highest [5].…”

Section: Problem Solving Algorithmmentioning

confidence: 99%

“…FIGURE5 Location of elements in the network, charging stations (red), solar power plant (yellow), wind power plant (green), storage (purple), SVC (blue).…”

mentioning

confidence: 99%

See 2 more Smart Citations

Optimal allocation of EVs parking lots and DG in micro grid using two‐stage GA‐PSO

Ahmadi

Rastgoo

Mahdavi

et al. 2023

The Journal of Engineering

Self Cite

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“…But in reference [18] there is a negative coupling which is high due to the discontinuous conduction regime, while all switching transitions take place in ZCS conditions. In reference [19], by adding an auxiliary circuit consisting of a control switch and a small capacitor in each phase, the zero‐voltage zero‐current switching conditions for the switches are provided. In fact, the main keys are turned on under ZCS and turned off under ZVS.…”

Section: Introductionmentioning

confidence: 99%

A hybrid scheme for optimal performance of photovoltaic system converters with multilayer structure

Zand

Nasab

Hanif

et al. 2022

The Journal of Engineering

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The interface of photovoltaic (PV) systems to the grid requires an efficient control strategy to operate, control, and improve power quality. The output voltage of the solar array, which may be accompanied by significant voltage variations, must be controlled and converted to a higher voltage for grid connection applications of photovoltaic system by a DC‐DC converter that commands more attention. Recently, due to the increasing use of renewable sources, multilayer structure with different structures and designs to provide power and stability has been researched because the output voltage of solar arrays is usually low, so it is increasing to DC‐to‐DC converters, needed with optimal interest and efficiency. In this paper, a method to improve the performance of DC–DC converter used in PV system by using a combined design of forward and fly‐back is presented. Due to the fact that isolated converters, flyback, and forward converters have a simple structure and are easy to control, but this converter is affected by high stress voltage. Therefore, this converter cannot be used for high power applications. To solve this problem, it has been improved in the proposed converter with the overlay and triple induction technique, which is a very good improvement on the voltage gain parameters in the short duty cycle. The voltage drop across the semiconductor switch is reduced. The investigations performed that the proposed DC/DC converter in Simulink MATLAB has been simulated. The results show that the suggested converter has an ideal efficiency of roughly 82.86% and provided higher voltage gain, decreased voltage stress, and reduced voltage jumps caused by disconnection.

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The Role of Internet of Things in Smart Homes

Padmanaban

Nasab

Shiri

et al. 2022

Artificial Intelligence‐based Smart Power Systems

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Spider Community Optimization Algorithm to Determine UPFC Optimal Size and Location for Improve Dynamic Stability

Cited by 17 publications

References 24 publications

Optimal allocation of EVs parking lots and DG in micro grid using two‐stage GA‐PSO

Optimal allocation of EVs parking lots and DG in micro grid using two‐stage GA‐PSO

A hybrid scheme for optimal performance of photovoltaic system converters with multilayer structure

The Role of Internet of Things in Smart Homes

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