Proportional Load Sharing and Stability of DC Microgrid with Distributed Architecture Using SM Controller

Rashad, Muhammad; Raoof, Uzair; Ashraf, Muhammad; Ahmed, Bilal

doi:10.1155/2018/2717129

Cited by 19 publications

(11 citation statements)

References 47 publications

(92 reference statements)

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“…The DC microgrid stability, distributed architecture and load sharing is discussed in [27]. Stability is achieved with the help of sliding mode (SM) controller.…”

Section: Fig7: Hierachy Of Secondary Controlmentioning

confidence: 99%

An Anatomization of Microgrids

2020

IJRTE

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A microgrid is a set of loads that are connected with each other and distributed energy resources within distinctly designate electrical boundary in such a way, it behaves as a one unit in regard to the grid. A micro grid associated with distributed energy resources (DER) has proved alternate sources of electricity rather than the fossil fuels likecoal. The consequential comfort associated with microgrids has paved the way to extend their perforation in a network of electrical components. There are many challenges and issues in integrating the micro grid to the utility grid. Research activities are in progress to solve the issues like design of a microgrid, control techniques and operating modes such as grid connected or islanded mode. This paper extends an exploration of issues concerning microgrids and furnishes the details of solutions suggested by researchers in areas of microgrids, including microgrid architecture, operation and control, DER, microgrid controllers, converters, energy management, protection and challenges which are yet to be addressed.

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“…The DC microgrid stability, distributed architecture and load sharing is discussed in [27]. Stability is achieved with the help of sliding mode (SM) controller.…”

Section: Fig7: Hierachy Of Secondary Controlmentioning

confidence: 99%

An Anatomization of Microgrids

2020

IJRTE

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“…( ) Transversality Condition. It describes the controllability of the system ensuring that system dynamics are affected from the SM control [37]. It means that control variable should be in the derivative form of the sliding surface.…”

Section: Sliding Mode Controllermentioning

confidence: 99%

“…Condition. It describes the ability of the system to reach the sliding surface[37]. Control Condition.…”

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confidence: 99%

See 1 more Smart Citation

A Single‐Phase Buck‐Boost Matrix Converter with Low Switching Stresses

Ashraf

Izhar

Abbas

2019

Mathematical Problems in Engineering

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The suggested single-phase ac-to-ac matrix converter operated with inverting and noninverting characteristics may solve the grid voltage swell and sag problem in power distribution system, respectively. It is also employed as a direct frequency changer for domestic induction heating. The output voltage is regulated through duty cycle control of high frequency direct PWM (DPWM) and indirect PWM (IDPWM) switching devices. The DPWM control switches control the switching states of IDPWM switching devices. The inverting and noninverting characteristics are achieved with low voltage stresses and hence low dv/dt across the high and low frequency-controlled switches. This reduces their voltage rating and losses. The high voltage overshoot problem in frequency step-up operation is also analyzed. The sliding mode (SM) controller is employed to solve this problem. Pulse selective approach determines the power quality of load voltage. The validity of the mathematically computed values is carried out by modelling the proposed topology in MATLAB/Simulink environment and through hardware results.

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“…The study [4] proposed a coordinated control strategy based on fuzzy logic on batteries, to reduce the fluctuation of active power from the microgrid for network-connected operations and for island operations. The study results show that the proposed coordinated control is only able to reduce the fluctuation of active power in the microgrid for the control connected to the network, it is also seen that the SOC level of the battery greatly affects the load power.…”

Section: Introductionmentioning

confidence: 99%

Coordinated Control of Battery Energy Storage System Based on Fuzzy Logic for Microgrid with Modified AC Coupling Configuration

Kusmantoro¹

2021

IJIES

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Microgrid systems are an excellent solution to increasing demand for electricity and are a great way to incorporate renewable energy sources into the electrical energy distribution system. To overcome the fluctuation of renewable energy (PV) based generation, an energy storage system using a battery (BESS) can be used. This paper proposes power management with a modified AC coupling configuration, and a BESS coordinated control strategy based on fuzzy logic. The AC coupling configuration in the microgrid system generally uses batteries to store excess power from the PV. In the proposed AC coupling configuration, two batteries are used, battery 1 (BESS 1) is used to store excess power of the PV array 1 (PVA1) via the inverter battery, while battery 2 (BESS 2) is used to store energy from the PV array 2 (PVA2)). In this microgrid system, PVA1 is connected to the network, so that the power generated by PVA1 is sent to the AC bus grid using a solar inverter. For two-way power flow on the grid and BESS, inverter batteries are used. The main focus of this article is the analysis of the impact of fuzzy logic (FLC) control strategy and PI control on BESS. When the PV is connected to the grid, control fuzzy logic (FLC) produces an overshoot of 4.73% and a settling time of 14.04 seconds lower than the PI control, overshoot 55.14% and settling time 26.29 seconds. The THD of the voltage and current in this mode is 0.06% and 11.08%. When the microgrid is in island mode, FLC produces an overshoot of 0.54% and a settling time of 13.78, while control PI produces an overshoot of 68.78% and a settling time of 38.11 seconds. The THD of voltage and current in island mode are 0.8% and 11.35%. Therefore, modified AC coupling configuration with fuzzy logic control (FLC) strategy can be used to serve residential loads.

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Proportional Load Sharing and Stability of DC Microgrid with Distributed Architecture Using SM Controller

Cited by 19 publications

References 47 publications

An Anatomization of Microgrids

An Anatomization of Microgrids

A Single‐Phase Buck‐Boost Matrix Converter with Low Switching Stresses

Coordinated Control of Battery Energy Storage System Based on Fuzzy Logic for Microgrid with Modified AC Coupling Configuration

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