Aazim Rasool

North China Electric Power University

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Haaris Rasool

Vrije Universiteit Brussel

Xiangwu Yan

North China Electric Power University

Urfa Rasool

Indus University

Farukh Abbas

Shanghai Jiao Tong University

Mohsin Jamil

Memorial University of Newfoundland

Muhammad Numan

National University of Sciences and Technology

Hongxia Guo

North China University of Science and Technology

Salman Habib

King Fahd University of Petroleum and Minerals

Noor Farooq Asran

Pakistan Institute of Engineering and Applied Sciences

Mansoor Asif

King Fahd University of Petroleum and Minerals

Cooperative Institutions

North China Electric Power University

National University of Sciences and Technology

Shanghai Jiao Tong University

University of the Sciences

Ministry of Education of the People's Republic of China

National University of Computer and Emerging Sciences

Zhejiang University

Hainan University

UNSW Sydney

King Fahd University of Petroleum and Minerals

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Research on novel var compensator based on dual-rotary phase-shifting transformers and its control strategy

International Journal of Electrical Power & Energy Systems (2022)

Xiangwu Yan Wanjun Deng Guanghua Wang Aazim Rasool Shaomeng Qi

Decoupling (probability)

Overcurrent

10.1016/j.ijepes.2022.108632

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Citations (4)

Resilient Power Sharing through Adaptive Configurations of Coordinated VSGs

Aazim Rasool Xiangwu Yan Haaris Rasool Hongxia Guo

The coordination of multiple VSGs connected in parallel to form a microgrid is the main concern nowadays. In this paper, the relation between the two VSGs is formed; one is operating as a source, whereas other as a load. This correlation defines the maximum power that can be delivered to the VSG controlled energy storage system (ESS), the influence of a load (static), and the effect of contingency (dynamic) on both VSGs. Furthermore, a unique control is presented to draw the constant maximum power from renewable energy source (RES) by interlinking it with the stable parallel-VSG; without compromising the ability of transient stability to dampen any disturbance. The results are illustrated through power and angular frequency graphs.

Microgrid

Maximum power principle

Constant (computer programming)

10.1109/epec.2018.8598426

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Citations (2)

MPPT based ASBC controller and solar panel monitoring system

Haaris Rasool Abdul Mutal Aazim Rasool Waqar Ahmad Ataul Aziz Ikram

The simulation work presented in this paper was carried out on microcontroller based Automated Solar Battery Charge Controller (ASBCC) for controlling the overcharging and deep discharging of a battery. The purpose of ASBCC is switching with help of programmed controller. Battery Charge Circuit (BCC) regulates the solar power to charge the battery to maximum specific level. Equipment's monitoring has always been essential. Software based Graphical User Interface (GUI) shows the digital values of output voltage, current, temperature and power of solar panel and battery charged status. These data is stored into the computer data base. GUI also indicates battery charging, discharging and load connected to panel. Maximum Power Point Tracking (MPPT) is used to extract the maximum power from Solar panel and force the panel to operate at required power.

Charge controller

Maximum power principle

Graphical user interface

10.1109/icesp.2014.7347002

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Citations (10)

Correlation Between Multiple VSG Sources for Enhancing the Power Allocation in Microgrid

Aazim Rasool Xiangwu Yan Haaris Rasool Hongxia Guo

The different variants of droop controls for the multiple Virtual Synchronous Generator (VSG) sources to form an island microgrid is discussed in this paper. The droop control ω-P is basically a decentralized control that defines the frequency variation of a microgrid on the increase in load. The control equation for the equivalent ω-P slope for two VSGs is derived to see the effect of a load on the overall system's frequency. In the parallel VSG system, the power distribution among the multiple VSGs is dependent on the droop control. The correlation of multiple VSGs is presented in this paper that can bring the firm coordination between the different sources in stabilizing the system; by finding the dependency of each VSG on a microgrid. Furthermore, the master-slave control is introduced to acquire the maximum power of one VSG (e.g. solar) by following the instant frequency of a system as a reference, instead of constant reference frequency. Following controls are verified by performing the experiments on an island microgrid system and the results are shown through graphs.

Microgrid

10.1109/epec.2018.8598344

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Citations (11)

An Improved Optimal Forecasting Algorithm for Comprehensive Electric Vehicle Charging Allocation

Energy Technology (2019)

Farukh Abbas Donghan Feng Salman Habib Aazim Rasool Muhammad Numan

The anticipation of large‐scale electric vehicles (EVs) charging and discharging load can bring security and reliability challenges to the power system. As a smart load, EV requires an intelligently designed scheduling and pricing algorithm that takes into account the stochastic EVs’ user behavior, grid charging capacity, battery characteristics, and real‐time electricity price variations. Herein, a multiobjective comprehensive stand‐alone solution is proposed considering a dynamic pricing model to intelligently regulate EVs charging/discharging schedule. An improved optimal forecasting approach is utilized to precisely predict the load variations by utilizing historical load and weather data. The proposed alternative heuristic charging strategy optimally configures solution indices and provides a tradeoff between considered evaluation parameters taken from the perspective of both power suppliers and EV users, thus mitigating the effect of uncontrolled charging introduced by stochastic charge–discharge activities. The objective is to shift the peak hours’ load to nonpeak hours with a reduction in average‐to‐peak ratio, minimize charging cost, and maximize the availability of charging capacity for pledging traveling plans determined by EV users. Different EV penetrations are tested to validate the performance of the proposed solution under massive EV integration, with a driving pattern obtained from the Beijing National Travel Survey.

10.1002/ente.201900436

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Citations (18)

Mobilizing grid flexibility through optimal transmission switching for power systems with large‐scale renewable integration

International Transactions on Electrical Energy Systems (2019)

Muhammad Numan Donghan Feng Farukh Abbas Salman Habib Aazim Rasool

In order to cope with the challenge of reducing CO2 emissions concerning climate change, many countries are increasing their renewable energy sources (RES) shares in their power system networks. However, the existing transmission network is not planned to accommodate such a large-scale integration of RES. Therefore, the need for new transmission topologies to better utilize the existing transmission infrastructure is more demanding to be practically implemented. In this paper, optimal transmission switching (OTS) is incorporated in a generic two-stage stochastic unit commitment (SUC) problem with high penetration of wind power generation. The problem is modeled as a mixed integer programming problem (MIP). To reduce the computational complexity for solving the MIP, a warm-start strategy is proposed to assist CPLEX in finding the optimal solution in a reasonable amount of time. Numerical tests are conducted on the modified IEEE 6-bus and 118-bus systems to validate the effectiveness of the optimization problem incorporating OTS in SUC problem. Using the standard IEEE 118-bus system, an extensive economic and computational analysis is performed to characterize OTS effect on total system operating cost, sensitivity to variation in load, and transmission line congestion. Test results validate that system operating cost can be reduced up to 8% as compared with generic SUC problem without transmission switching.

Power system simulation

10.1002/2050-7038.12211

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Citations (11)

A Virtual Parallel Inductor Approach for Mitigating Reactive Power Sharing Error in a VSG Controlled Microgrid

IEEE Systems Journal (2022)

Aazim Rasool Shah Fahad Xiangwu Yan Jiaoxin Jia Haaziq Rasool

Virtual synchronous generators (VSGs) deployed into an islanded microgrid emulates the Q-V droop nature of a synchronous generator. Although the Q-V droop control of VSGs enhances the voltage stability, the installed distant VSGs have unequal line impedances due to their random location and rated capacity. The unequal line impedance hinders the proportional reactive power-sharing between VSGs. The proposed study is focused on minimizing the reactive power sharing error by introducing a virtual parallel inductor (VPI) concept. A mathematical model is proposed to create and exploit the analogous relation between the exponential behavior of the VPI and the controllable voltage source to mitigate the reactive power sharing error and simultaneously strengthen the voltage control accuracy. In addition, a droop within a droop strategy is introduced to enhance the reactive power sharing capability of the VSGs. Furthermore, a detailed eigenvalue analysis is conducted to evaluate the limitations of the proposed model. Finally, to test the superiority of the proposed model over the state-of-the-art methods, simulation and hardware experimental results are presented.

Microgrid

10.1109/jsyst.2022.3180998

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Citations (8)

Enhanced control strategies of VSG for EV charging station under a low inertia microgrid

IET Power Electronics (2020)

Aazim Rasool Xiangwu Yan Urfa Rasool Farukh Abbas Muhammad Numan

The droop control strategies can realise an autonomous power allocation among virtual synchronous generators (VSGs) that can provide the recompenses of reduced system complexity and enhanced reliability. The stability of a low-inertia microgrid can be improved by implementing a VSG, designed for the coordination between multiple variable electric vehicle (EV) based charging loads. This study mainly investigates two control schemes. Firstly, the instantaneous contribution from EV charging control for any disturbance that can provide adequate damping and inertia to a low-inertia microgrid without degradation of the battery. Secondly, the adjustment of Q –V droop control is suggested by correcting the excitation voltage of a VSG. This method can reduce the influence of line impedances and power ratings on reactive power sharing in a multi-VSGs system. Additionally, four different active and reactive power control modes of VSG are discussed to emphasise EV charging and discharging control through the VSG controller. These modes are explained through circuit and vector diagrams in direct and quadratic coordinates. The efficacy of the proposed strategies and their influence on power sharing is theoretically demonstrated and analysed. Finally, the theoretical results are validated through extensive simulation and experimental verification.

Microgrid

10.1049/iet-pel.2019.1592

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Citations (15)

Optimal allocation of energy storage participating in peak shaving based on improved hybrid particle swarm optimization

2022 IEEE 5th International Electrical and Energy Conference (CIEEC) (2023)

Ziyang Zhang Jiaoxin Jia Junda Lu Aazim Rasool

With the increasing number of photovoltaic grid-connected in recent years, severe challenges are faced in the peak-shaving process of the power grid. Consequently, a rational optimization for allocating energy storage resources in the power grid has become a key and urgent issue to be studied. The economy and safety of energy storage involving in peak regulation is fully considered by this paper. Firstly, the objective function is obtained from the net income and average peak shaving difference function of the participating energy storages during peak shaving. The objective function is further normalized by combining the idea of matrix standardization using the Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS) with the linear weighting method. Secondly, the objective function is functioned with the constraints under three aspects: power constraint, the capacity of storaging the energy, maximum and minimum power constraints and energy storage SOC constraint. Thirdly, using the genetic algorithm augments the particle swarm optimization algorithm to improve its optimization speed and convergence. Finally, the simulation is implemented in MATLAB software, which verifies the proposed improved hybrid particle swarm optimization algorithm. The proposed method benefits in fast convergence speed and strong global optimization ability.

Peaking power plant

10.1109/cieec58067.2023.10166602

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Citations (1)

Analysis and Optimization of the Coordinated Multi-VSG Sources

Electronics (2018)

Xiangwu Yan Aazim Rasool Farukh Abbas Haaris Rasool Hongxia Guo

The penetration of renewable energy sources (RES) into a grid via inverters causes a stability issue due to the absence of an inertia. A virtual synchronous generator (VSG) is designed to provide an artificial inertia and droop control to the grid-connected inverters. The different power ratings of multiple VSGs create complications in the coordination due to unequal droop or damping coefficient ‘ D ’. The dependency of a factor ‘ D ’ on P − ω droop control under static state and a damping behavior during power oscillation under dynamic state is analyzed by considering three cases on multi-VSGs microgrid system and the equivalent equations of P − ω droop control are derived for all three cases to see the effect of a load on the overall system’s frequency. A master–slave configuration of a VSG is proposed to deliver maximum power during static state, but provides P − ω control during the dynamic state. Simulation results verify the improvement introduced by the proposed VSG control.

Microgrid

Oscillation (cell signaling)

10.3390/electronics8010028

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Citations (13)