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Ahmadreza Abazari
Department of Information and Systems Engineering, Concordia University, Montreal, QC H3G 1M8, Canada

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Journal article
Published: 01 July 2021 in Electronics
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The continuous stability of hybrid microgrids (MGs) has been recently proposed as a critical topic, due to the ever-increasing growth of renewable energy sources (RESs) in low-inertia power systems. However, the stochastic and intermittent nature of RESs poses serious challenges for the stability and frequency regulation of MGs. In this regard, frequency control ancillary services (FCAS) can be introduced to alleviate the transient effects during substantial variations in the operating point and the separation from main power grids. In this paper, an efficient scheme is introduced to create a coordination among distributed energy resources (DERs), including combined heat and power, diesel engine generator, wind turbine generators, and photovoltaic panels. In this scheme, the frequency regulation signal is assigned to DERs based on several distribution coefficients, which are calculated through conducting a multi-objective optimization problem in the MATLAB environment. A meta-heuristic approach, known as the artificial bee colony algorithm, is deployed to determine optimal solutions. To prove the efficiency of the proposed scheme, the design is implemented on a hybrid MG. Various operational conditions which render the system prone to experience frequency fluctuation, including switching operation, load disturbance, and reduction in the total inertia of hybrid microgrids, are studied in PSCAD software. Simulation results demonstrate that this optimal control scheme can yield a more satisfactory performance in the presence of grid-following and grid-forming resources during different operational conditions.

ACS Style

Mohsen Arzani; Ahmadreza Abazari; Arman Oshnoei; Mohsen Ghafouri; S. Muyeen. Optimal Distribution Coefficients of Energy Resources in Frequency Stability of Hybrid Microgrids Connected to the Power System. Electronics 2021, 10, 1591 .

AMA Style

Mohsen Arzani, Ahmadreza Abazari, Arman Oshnoei, Mohsen Ghafouri, S. Muyeen. Optimal Distribution Coefficients of Energy Resources in Frequency Stability of Hybrid Microgrids Connected to the Power System. Electronics. 2021; 10 (13):1591.

Chicago/Turabian Style

Mohsen Arzani; Ahmadreza Abazari; Arman Oshnoei; Mohsen Ghafouri; S. Muyeen. 2021. "Optimal Distribution Coefficients of Energy Resources in Frequency Stability of Hybrid Microgrids Connected to the Power System." Electronics 10, no. 13: 1591.

Journal article
Published: 06 August 2020 in IET Generation, Transmission & Distribution
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Using inverter-based topologies and lack of rotational masses can lead to a noticeable reduction in the inertia of modern systems and have detrimental effects on the resiliency, stability and strengths of microgrids. Effective frequency control ancillary services and modern adaptive control mechanisms can be proposed to resolve the mentioned challenges practically. From this perspective, several flexible and intelligent control approaches have been recently introduced to create a balance between generation and load demand during various operational conditions in low-inertia power systems. This study suggests a supportive collaboration between two distributed generations including virtual inertia of wind turbine generator and fast speed micro-turbine based on an adaptive optimal model predictive control (AOMPC). To demonstrate the effectiveness of the proposed framework, the results are compared with the previous controllers like optimal proportional–integral, optimal fractional order proportional–integral–derivative (PID), optimal fuzzy PID, the optimised membership function of fuzzy and adaptive MPC controller during multiple load variations, changes in the weather patterns, unwanted time-varying uncertainties and collapse of power generation units.

ACS Style

Ahmadreza Abazari; Mohammad Mahdi Soleymani; Masoud Babaei; Mohsen Ghafouri; Hassan Monsef; Mohammad T. H. Beheshti. High penetrated renewable energy sources‐based AOMPC for microgrid's frequency regulation during weather changes, time‐varying parameters and generation unit collapse. IET Generation, Transmission & Distribution 2020, 14, 5164 -5182.

AMA Style

Ahmadreza Abazari, Mohammad Mahdi Soleymani, Masoud Babaei, Mohsen Ghafouri, Hassan Monsef, Mohammad T. H. Beheshti. High penetrated renewable energy sources‐based AOMPC for microgrid's frequency regulation during weather changes, time‐varying parameters and generation unit collapse. IET Generation, Transmission & Distribution. 2020; 14 (22):5164-5182.

Chicago/Turabian Style

Ahmadreza Abazari; Mohammad Mahdi Soleymani; Masoud Babaei; Mohsen Ghafouri; Hassan Monsef; Mohammad T. H. Beheshti. 2020. "High penetrated renewable energy sources‐based AOMPC for microgrid's frequency regulation during weather changes, time‐varying parameters and generation unit collapse." IET Generation, Transmission & Distribution 14, no. 22: 5164-5182.

Journal article
Published: 16 April 2020 in Applied Sciences
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In recent years, taking advantage of renewable energy sources (RESs) has increased considerably due to their unique capabilities, such as a flexible nature and sustainable energy production. Prosumers, who are defined as proactive users of RESs and energy storage systems (ESSs), are deploying economic opportunities related to RESs in the electricity market. The prosumers are contracted to provide specific power for consumers in a neighborhood during daytime. This study presents optimal scheduling and operation of a prosumer owns RESs and two different types of ESSs, namely stationary battery (SB) and plugged-in electric vehicle (PHEV). Due to the intermittent nature of RESs and their dependency on weather conditions, this study introduces a weather prediction module in the energy management system (EMS) by the use of a feed-forward artificial neural network (FF-ANN). Linear regression results for predicted and real weather data have achieved 0.96, 0.988, and 0.230 for solar irradiance, temperature, and wind speed, respectively. Besides, this study considers the depreciation cost of ESSs in an objective function based on the depth of charge (DOD) reduction. To investigate the effectiveness of the proposed strategy, predicted output and the real power of RESs are deployed, and a mixed-integer linear programming (MILP) model is used to solve the presented day-ahead optimization problem. Based on the obtained results, the predicted output of RESs yields a desirable operation cost with a minor difference (US$0.031) compared to the operation cost of the system using real weather data, which shows the effectiveness of the proposed EMS in this study. Furthermore, optimum scheduling with regard to ESSs depreciation term has resulted in the reduction of operation cost of the prosumer and depreciation cost of ESS in the objective function has improved the daily operation cost of the prosumer by $0.8647.

ACS Style

Jamal Faraji; Ahmadreza Abazari; Masoud Babaei; S. M. Muyeen; Mohamed Benbouzid. Day-Ahead Optimization of Prosumer Considering Battery Depreciation and Weather Prediction for Renewable Energy Sources. Applied Sciences 2020, 10, 2774 .

AMA Style

Jamal Faraji, Ahmadreza Abazari, Masoud Babaei, S. M. Muyeen, Mohamed Benbouzid. Day-Ahead Optimization of Prosumer Considering Battery Depreciation and Weather Prediction for Renewable Energy Sources. Applied Sciences. 2020; 10 (8):2774.

Chicago/Turabian Style

Jamal Faraji; Ahmadreza Abazari; Masoud Babaei; S. M. Muyeen; Mohamed Benbouzid. 2020. "Day-Ahead Optimization of Prosumer Considering Battery Depreciation and Weather Prediction for Renewable Energy Sources." Applied Sciences 10, no. 8: 2774.

Journal article
Published: 16 January 2020 in Energies
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In recent years, residential rate consumptions have increased due to modern appliances which require a high level of electricity demands. Although mentioned appliances can improve the quality of consumers’ lives to a certain extent, they suffer from various shortcomings including raising the electricity bill as well as serious technical issues such as lack of balance between electricity generation and load disturbances. This imbalance can generally lead to the frequency excursion which is a significant concern, especially for low-inertia microgrids with unpredictable parameters. This research proposes an intelligent combination of two approaches in order to alleviate challenges related to the frequency control mechanism. Firstly, a learning-based fractional-order proportional-integral-derivative (FOPID) controller is trained by recurrent adaptive neuro-fuzzy inference (RANFIS) in the generation side during various operational conditions and climatic changes. In the following, a decentralized demand response (DR) programming in the load side is introduced to minimize consumption rate through controllable appliances and energy storage systems (ESSs). Furthermore, parameters uncertainties and time delay, which are generally known as two main concerns of isolated microgrids, are regarded in the frequency plan of a low-inertia microgrid including renewable energy sources (RESs), and energy storage systems (ESSs). Simulation results are illustrated in three different case studies in order to compare the performance of the proposed two methods during various operational conditions. It is obvious that the frequency deviation of microgrid can be improved by taking advantage of intelligent combination of both DR program and modern control mechanism.

ACS Style

Masoud Babaei; Ahmadreza Abazari; S. M. Muyeen. Coordination between Demand Response Programming and Learning-Based FOPID Controller for Alleviation of Frequency Excursion of Hybrid Microgrid. Energies 2020, 13, 442 .

AMA Style

Masoud Babaei, Ahmadreza Abazari, S. M. Muyeen. Coordination between Demand Response Programming and Learning-Based FOPID Controller for Alleviation of Frequency Excursion of Hybrid Microgrid. Energies. 2020; 13 (2):442.

Chicago/Turabian Style

Masoud Babaei; Ahmadreza Abazari; S. M. Muyeen. 2020. "Coordination between Demand Response Programming and Learning-Based FOPID Controller for Alleviation of Frequency Excursion of Hybrid Microgrid." Energies 13, no. 2: 442.

Journal article
Published: 27 February 2019 in International Journal of Electrical Power & Energy Systems
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This paper presents a novel load frequency control (LFC) model for a stand-alone hybrid micro-grid in the presence of renewable energy resources. A perilous fact in operation of isolated micro-grid is to deal with a low-inertia system owing to the unpredictable structure and the intermittent fluctuation of RESs. In comparison to the conventional power system, the rate of change of frequency (RoCoF) is high in isolated micro-gird. Therefore, the need for fast frequency response provision delivered by existing distributed energy resources, which are inverter-connected technologies, arises. Some distributed energy resources (DERs) can be considered as potential reserves for active power injection in the load frequency control scheme. The simulation results depict that renewable energy resources like diesel engine generator (DEG), Fuel Cell (FC), Flywheel Energy Storage System (FESS) and Wind Turbine Generator (WTG) have the capability to improve frequency excursion during various operating conditions if comprehensive small-signal dynamic models for RESs are introduced in isolated micro-grid and proper contribution of them in load frequency control studies is considered.

ACS Style

Ahmadreza Abazari; Hassan Monsef; Bin Wu. Coordination strategies of distributed energy resources including FESS, DEG, FC and WTG in load frequency control (LFC) scheme of hybrid isolated micro-grid. International Journal of Electrical Power & Energy Systems 2019, 109, 535 -547.

AMA Style

Ahmadreza Abazari, Hassan Monsef, Bin Wu. Coordination strategies of distributed energy resources including FESS, DEG, FC and WTG in load frequency control (LFC) scheme of hybrid isolated micro-grid. International Journal of Electrical Power & Energy Systems. 2019; 109 ():535-547.

Chicago/Turabian Style

Ahmadreza Abazari; Hassan Monsef; Bin Wu. 2019. "Coordination strategies of distributed energy resources including FESS, DEG, FC and WTG in load frequency control (LFC) scheme of hybrid isolated micro-grid." International Journal of Electrical Power & Energy Systems 109, no. : 535-547.