Optimized Control Scheme for Frequency/Power Regulation of Microgrid for Fault Tolerant Operation

Abdel-hamed, Alaa M.; Ellissy, Abou El-Eyoun K. M.; El-Wakeel, Amged S.; Abdelaziz, Almoataz Y.

doi:10.1080/15325008.2016.1172282

Cited by 13 publications

(9 citation statements)

References 27 publications

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“…where P bat denotes the power output of the battery, the overall time and gain constants of the BESS system can be denoted by T bat and K bat , respectively [16]. The maximum charging and discharging power capacities of the battery considered in this study varies between ±0.5 pu.…”

Section: Batterymentioning

confidence: 99%

Application of micro pump hydro energy storage for reliable operation of microgrid system

Dhundhara

Verma

2020

IET Renewable Power Generation

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The energy storage system is the backbone of an isolated microgrid (MG), which helps to provide a secure and reliable power supply. The operation of the MG systems operating without storage is affected highly due to intermittent generation and sudden load demand fluctuations. This study investigates the operational behaviour of an isolated MG system in terms of frequency and power balance by incorporating the Micro Pump Hydro Energy Storage (MPHES) system. The investigated MG system consists of biodiesel, solar and wind-based generating units with MPHES and battery as energy storage systems. The realistic data for solar and wind resources have been used to consider the practical scenario of any area. The recently developed coyote-optimisation algorithm is employed for optimal tuning of the proportional-integral controller using the integral of time multiplied absolute error criterion. The simulation studies have been conducted to investigate the performance of the MG system by incorporating the MPHES system for a typical day (36 h) under various operating conditions. The analysis reveals that the MG system exhibits smoother and consistent dynamic performance by including the MPHES unit and efficiently utilises renewable power.

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Section: Batterymentioning

confidence: 99%

Application of micro pump hydro energy storage for reliable operation of microgrid system

Dhundhara

Verma

2020

IET Renewable Power Generation

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“…The GA can also be used to train other algorithms like ANN, FL, and PSO to enhance their searching capabilities. For example, GA was used to optimize the FLC parameters in [63]. It was used for the selection of optimal control rules and membership functions for the FLC.…”

Section: Ga For Dynamic Response Enhancement Of Mgsmentioning

confidence: 99%

Computational Intelligence-Based Optimization Methods for Power Quality and Dynamic Response Enhancement of ac Microgrids

et al. 2020

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The penetration of distributed generators (DGs) in the existing power system has brought some real challenges regarding the power quality and dynamic response of the power systems. To overcome the above-mentioned issues, the researchers around the world have tried and tested different control methods among which the computational intelligence (CI) based methods have been found as most effective in mitigating the power quality and transient response problems intuitively. The significance of the mentioned optimization approaches in contemporary ac Microgrid (MG) controls can be observed from the increasing number of published articles and book chapters in the recent past. However, literature related to this important subject is scattered with no comprehensive review that provides detailed insight information on this substantial development. As such, this research work provides a detailed overview of four of the most extensively used CI-based optimization techniques, namely, artificial neural network (ANN), fuzzy logic (FL), adaptive neuro-fuzzy inference system (ANFIS) and genetic algorithm (GA) as applied in ac MG controls from 42 research articles along with their basic working mechanism, merits, and limitations. Due to space and scope constraints, this study excludes the applications of swarm intelligence-based optimization methods in the studied field of research. Each of the mentioned CI algorithms is explored for three major MG control applications i.e., reactive power compensation and power quality, MPPT and MG’s voltage, frequency, and power regulation. In addition, this work provides a classification of the mentioned CI-based optimization studies based on various categories such as key study objective, optimization method applied, DGs utilized, studied MG operating mode, and considered operating conditions in order to ease the searchability and selectivity of the articles for the readers. Hence, it is envisaged that this comprehensive review will provide a valuable one-stop source of knowledge to the researchers working in the field of CI-based ac MG control architectures.

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“…Similarly, each power resource has a control signal for adjusting the output power in a manner that is proportional to the frequency oscillations, which is called frequency bias (β). Nowadays, many papers have presented the dynamic modeling of islanded microgrids [15][16][17][18][19][20]. In Abazari et al [16], a new load frequency control (LFC) model for an independent hybrid microgrid with RERs was presented and the dynamic models for the resources were introduced.…”

Section: Introductionmentioning

confidence: 99%

“…In addition, their participation in frequency control studies was considered. In A-Hamed et al [18], the performance of a microgrid in the presence of a new control method was evaluated. The proposed microgrid had various power generation resources, including photovoltaic, wind, diesel generator, fuel cell and electrolyzer, and battery resources.…”

Section: Introductionmentioning

confidence: 99%

Dynamic Modeling of Multiple Microgrid Clusters Using Regional Demand Response Programs

et al. 2020

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Preserving the frequency stability of multiple microgrid clusters is a serious challenge. This work presents a dynamic model of multiple microgrid clusters with different types of distributed energy resources (DERs) and energy storage systems (ESSs) that was used to examine the load frequency control (LFC) of microgrids. The classical proportional integral derivative (PID) controllers were designed to tune the frequency of microgrids. Furthermore, an imperialist competitive algorithm (ICA) was proposed to investigate the frequency deviations of microgrids by considering renewable energy resources (RERs) and their load uncertainties. The simulation results confirmed the performance of the optimized PID controllers under different disturbances. Furthermore, the frequency control of the microgrids was evaluated by applying regional demand response programs (RDRPs). The simulation results showed that applying the RDRPs caused the damping of frequency fluctuations.

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Optimized Control Scheme for Frequency/Power Regulation of Microgrid for Fault Tolerant Operation

Cited by 13 publications

References 27 publications

Application of micro pump hydro energy storage for reliable operation of microgrid system

Application of micro pump hydro energy storage for reliable operation of microgrid system

Computational Intelligence-Based Optimization Methods for Power Quality and Dynamic Response Enhancement of ac Microgrids

Dynamic Modeling of Multiple Microgrid Clusters Using Regional Demand Response Programs

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