Optimum Resilient Operation and Control DC Microgrid Based Electric Vehicles Charging Station Powered by Renewable Energy Sources

Sayed, Khairy; Abo‐Khalil, Ahmed G.; Alghamdi, Ali S.

doi:10.3390/en12224240

Cited by 61 publications

(42 citation statements)

References 33 publications

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“…The mini-model was implemented as a wireless meter to measure the electrical power consumed in the home, which depends on the control of the Arduino micro-controllers, which is characterized by the speed of performance and accuracy in the results. [21] Due to the outstanding research progress in the area of the smart grid, and renewable energy, power electronics industries have gained a great interest. Energy storage systems (ESS) such as batteries and supercapacitors have an important role in ensuring continuous power supply for the most critical electric loads, This contributes greatly to the advantage in the rationalization of energy using modern electronic devices, which consumes less energy in operation, [22][23][24][25][26][27][28] The reader consists of a current transformer to measure the current value of the consumer current, The Arduino controller, the wireless communication panel, and the computer.…”

Section: This Work Is Licensed Under a Creative Commons Attribution 4mentioning

confidence: 99%

Untitled

2020

International Journal of Innovative Research in Electrical, Ele

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There are several solutions exist to save energy consumption in residential, commercial and industrial buildings. This paper presents a new model device to monitor the consumption of energy consumed in homes to rationalize energy consumption using a wireless meter using Arduino controller. The controller calculates the actual energy consumption at any moment and sends it to the computer using Wi-Fi module. The energy is digitally measured using Arduino and displayed graphically. An energy saving plan is proposed to save energy in residential loads. The recorded results are filtered to rationalize the consumption of energy to the extent required. To evaluate the performance of the proposed system, an experimental setup is conducted on residential apartments and rationalizing the consumption of electric energy by reducing the load without prejudice to the normal state of loads. The rate of rationalization in electric power is reached 25% of the value of total consumption. Therefore, the goal of controlling consumption and rationalization is achieved accurately and at the lowest cost possible and using advanced electronic elements to eliminate the inaccuracy in reading the meter home.

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Section: This Work Is Licensed Under a Creative Commons Attribution 4mentioning

confidence: 99%

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2020

International Journal of Innovative Research in Electrical, Ele

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“…The high gain nonisolated DC-DC circuits which are used in the implementation of converter circuits are studied [20][21][22][23]. Previous works have used soft-switching coupled inductors [24][25][26][27][28][29][30][31][32][33][34][35][36].…”

Section: Introductionmentioning

confidence: 99%

Novel Soft-Switching Integrated Boost DC-DC Converter for PV Power System

Sayed

Gronfula²,

Ziedan

2020

Energies

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This paper presents a novel soft-switching boost DC-DC converter, which uses an edge-resonant switch capacitor based on the pulse width modulation PWM technique. These converters have high gain voltage due to coupled inductors, which work as a transformer, while the boost converter works as a resonant inductor. Upon turning on, the studied soft switching circuit works at zero-current soft switching (ZCS), and upon turning off, it works at zero-voltage soft switching (ZVS) while using active semiconductor switches. High efficiency and low losses are obtained while using soft switching and auxiliary edge resonance to get a high step-up voltage ratio. A prototype model is implemented in the Power Electronics Laboratory, Assiut University, Egypt. Seventy-two-panel PV modules of 250 W each were used to simulate and execute the setup to examine the proposed boost converter.Energies 2020, 13, 749 2 of 17 achieved by adding an auxiliary circuit, as shown in Figure 1a, instead of a classical hard-switched converter [6]. Moreover, the auxiliary circuit has no additional complexity or cost.To reduce the weight and size, a higher switching frequency operation, i.e., in the range of more than 50 kHz, is utilized [7]. In traditional switching converters, the exemplary switching frequency is between 5 kHz and 20 kHz. The switching frequency generally cannot be increased because this results in increasing switching losses and stresses on semiconductor devices. A high frequency is utilized to reduce the volume and weight of passive devices. The dynamic performance is better in the case of higher frequencies. High-frequency switching speeds up the converter response time and reduces the output filter volume, cost, and size. A high switching frequency is desirable for the minimum output inductor size and maximum control loop bandwidth. Overall system size will be reduced due to the operation of switches at a high frequency, which will make the new converters more feasible.To overcome these problems, soft-switching schemes such as zero-voltage soft switching (ZVS) type or zero-current soft switching (ZCS) commutation should be utilized to reduce switching losses and the semiconductor device stresses. For power converters in a distributed PV system, a soft-switching technique is proposed [8][9][10][11][12]. The presented converter (see Figure 1b) has advantages of improved efficiency at a higher switching frequency, low leakage current, wide load range, reduced weight and size, and a maximum total efficiency of 97.1% at a switching frequency of 100 kHz.The problems of excessive electromagnetic interference EMI and low efficiency can be solved by using zero-voltage-transition (ZVT) converters by limiting the turning-off di/dt in the output-side rectifier. Various types of ZVT converters have been presented before [9,13], but these converters suffer from several drawbacks, such as the following.

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“…After an unexpected interruption, if a microgrid reacts to the new working conditions in order to restore the normal expectations of the users, it receives the name of resilient microgrid [6,7]. The use of combined battery-and-hydrogen ESS in resilient microgrids offers multiple advantages, like [8]:…”

Section: Introductionmentioning

confidence: 99%

Multi-Objective Fuzzy Logic-Based Energy Management System for Microgrids with Battery and Hydrogen Energy Storage System

et al. 2020

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This paper proposes a fuzzy logic-based energy management system (EMS) for microgrids with a combined battery and hydrogen energy storage system (ESS), which ensures the power balance according to the load demand at the time that it takes into account the improvement of the microgrid performance from a technical and economic point of view. As is known, renewable energy-based microgrids are receiving increasing interest in the research community, since they play a key role in the challenge of designing the next energy transition model. The integration of ESSs allows the absorption of the energy surplus in the microgrid to ensure power supply if the renewable resource is insufficient and the microgrid is isolated. If the microgrid can be connected to the main power grid, the freedom degrees increase and this allows, among other things, diminishment of the ESS size. Planning the operation of renewable sources-based microgrids requires both an efficient dispatching management between the available and the demanded energy and a reliable forecasting tool. The developed EMS is based on a fuzzy logic controller (FLC), which presents different advantages regarding other controllers: It is not necessary to know the model of the plant, and the linguistic rules that make up its inference engine are easily interpretable. These rules can incorporate expert knowledge, which simplifies the microgrid management, generally complex. The developed EMS has been subjected to a stress test that has demonstrated its excellent behavior. For that, a residential-type profile in an actual microgrid has been used. The developed fuzzy logic-based EMS, in addition to responding to the required load demand, can meet both technical (to prolong the devices’ lifespan) and economic (seeking the highest profitability and efficiency) established criteria, which can be introduced by the expert depending on the microgrid characteristic and profile demand to accomplish.

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Optimum Resilient Operation and Control DC Microgrid Based Electric Vehicles Charging Station Powered by Renewable Energy Sources

Cited by 61 publications

References 33 publications

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Novel Soft-Switching Integrated Boost DC-DC Converter for PV Power System

Multi-Objective Fuzzy Logic-Based Energy Management System for Microgrids with Battery and Hydrogen Energy Storage System

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