Muhammad Suhail Hussain Shaik
Email Address
dcsmshs@nus.edu.sg
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Publication Artificial Intelligence Based Intrusion Detection System for IEC 61850 Sampled Values under Symmetric and Asymmetric Faults(Institute of Electrical and Electronics Engineers Inc., 2021-01-01) Ustun, Taha Selim; Hussain, S. M. Suhail; Yavuz, Levent; Onen, Ahmet; DEPARTMENT OF COMPUTER SCIENCEModern power systems require increased connectivity to implement novel coordination and control schemes. Wide-spread use of information technology in smartgrid domain is an outcome of this need. IEC 61850-based communication solutions have become popular due to a myriad of reasons. Object-oriented modeling capability, interoperable connectivity and strong communication protocols are to name a few. However, power system communication infrastructure is not well-equipped with cybersecurity mechanisms for safe operation. Unlike online banking systems that have been running such security systems for decades, smartgrid cybersecurity is an emerging field. A recent publication aimed at equipping IEC 61850-based communication with cybersecurity features, i.e. IEC 62351, only focuses on communication layer security. To achieve security at all levels, operational technology-based security is also needed. To address this need, this paper develops an intrusion detection system for smartgrids utilizing IEC 61850's Sampled Value (SV) messages. The system is developed with machine learning and is able to monitor communication traffic of a given power system and distinguish normal data measurements from falsely injected data, i.e. attacks. The designed system is implemented and tested with realistic IEC 61850 SV message dataset. Tests are performed on a Modified IEEE 14-bus system with renewable energy-based generators where different fault are applied. The results show that the proposed system can successfully distinguish normal power system events from cyberattacks with high accuracy. This ensures that smartgrids have intrusion detection in addition to cybersecurity features attached to exchanged messages. © 2013 IEEE.Publication A review on fractional order (FO) controllers’ optimization for load frequency stabilization in power networks(Elsevier Ltd, 2021-11-01) Latif, Abdul; Hussain, S. M. Suhail; Das, Dulal Chandra; Ustun, Taha Selim; Iqbal, Atif; DEPARTMENT OF COMPUTER SCIENCEKeeping generation and demand balance is a fundamental requirement in power networks. It maintains frequency of the system within permissible limits. For microgrids, this balance is important to keep tie-line power below a certain threshold. Managing load frequency deviations is indispensable for microgrids and can be managed by coordinating generators, loads as well as other components such as energy storage devices and electric vehicles. Therefore, Load Frequency Stabilization (LFS) research has gained a lot of traction in this field. Building on the importance of this concept, this paper constructs different fractional order (FO) control stratagems which have been applied in different frequency response models. In order to achieve the targeted assignment, the impact of incremental control action of different FO controllers along with the system constraints has been considered for better system dynamics. Moreover, the current research work illustrates the structural control operation with transfer function analysis of different FO controllers considered for multiple single/multi-area power network. To optimally tune the existing FO controller parameters, application of several optimization techniques corresponding to the frequency regulation issues have been undertaken. Furthermore, a visualization of complete utilization of classified FO controllers and their corresponding optimization techniques have been analyzed. In order to make the performance elegant, a review has been performed on application of different existing error functions (J) and some recently developed modified error functions. Finally, the performance of modified J considering different FO controllers have been depicted. © 2021Publication Machine learning-based intrusion detection for achieving cybersecurity in smart grids using IEC 61850 GOOSE messages(MDPI AG, 2021-05-08) Ustun, Taha Selim; Suhail Hussain, S.M.; Ulutas, Ahsen; Onen, Ahmet; Roomi, Muhammad M.; Mashima, Daisuke; DEPARTMENT OF COMPUTER SCIENCEIncreased connectivity is required to implement novel coordination and control schemes. IEC 61850-based communication solutions have become popular due to many reasons—object-oriented modeling capability, interoperable connectivity and strong communication protocols, to name a few. However, communication infrastructure is not well-equipped with cybersecurity mechanisms for secure operation. Unlike online banking systems that have been running such security systems for decades, smart grid cybersecurity is an emerging field. To achieve security at all levels, operational technology-based security is also needed. To address this need, this paper develops an intrusion detection system for smart grids utilizing IEC 61850’s Generic Object-Oriented Substation Event (GOOSE) messages. The system is developed with machine learning and is able to monitor the communication traffic of a given power system and distinguish normal events from abnormal ones, i.e., attacks. The designed system is implemented and tested with a realistic IEC 61850 GOOSE message dataset under symmetric and asymmetric fault conditions in the power system. The results show that the proposed system can successfully distinguish normal power system events from cyberattacks with high accuracy. This ensures that smart grids have intrusion detection in addition to cybersecurity features attached to exchanged messages. © 2021 by the authors. Licensee MDPI, Basel, Switzerland.Publication Simultaneous analysis of frequency and voltage control of the interconnected hybrid power system in presence of FACTS devices and demand response scheme(Elsevier Ltd, 2021-11-01) Ranjan, Sudhanshu; Latif, Abdul; Das, Dulal Chandra; Sinha, Nidul; Hussain, S. M. Suhail; Ustun, Taha Selim; Iqbal, Atif; DEPARTMENT OF COMPUTER SCIENCEThis work confers the simultaneous analysis of voltage and frequency control of the 3-area interconnected hybrid power system (IHPS) consisting of parabolic-trough solar power system (PSP), wind power system (WPS) and dish-stirling solar power system (DSP) under the paradigm of microgrid. The speculated result of the IHPS is presented and analyzed considering real and reactive power as the function of both voltage and frequency. 9The proposed IHPS under investigation has been mathematically modeled for direct coupling like active power–frequency and reactive power–voltage relationships and cross coupling like active power–voltage and reactive power–frequency? relationships. The system responses under different operating conditions have been investigated to see the cross-coupling behavior of the proposed IHPS in the presence of voltage compensating devices like dynamic voltage restorer (DVR) and Static Synchronous Compensator (STATCOM). Further, Demand Response Scheme (DRS) as a frequency control strategy has been considered to enhance the system stability. System responses have been critically analyzed under Mine Blast Algorithm (MBA) based proportional–integral–derivative (PID) controllers © 2021 The AuthorsPublication Price based demand response for optimal frequency stabilization in orc solar thermal based isolated hybrid microgrid under salp swarm technique(MDPI AG, 2020) Latif, A.; Paul, M.; Das, D.C.; Suhail Hussain, S.M.; Ustun, T.S.; DEPARTMENT OF COMPUTER SCIENCESmart grid technology enables active participation of the consumers to reschedule their energy consumption through demand response (DR). The price-based program in demand response indirectly induces consumers to dynamically vary their energy use patterns following different electricity prices. In this paper, a real-time price (RTP)-based demand response scheme is proposed for thermostatically controllable loads (TCLs) that contribute to a large portion of residential loads, such as air conditioners, refrigerators and heaters. Wind turbine generator (WTG) systems, solar thermal power systems (STPSs), diesel engine generators (DEGs), fuel cells (FCs) and aqua electrolyzers (AEs) are employed in a hybrid microgrid system to investigate the contribution of price-based demand response (PBDR) in frequency control. Simulation results show that the load frequency control scheme with dynamic PBDR improves the system’s stability and encourages economic operation of the system at both the consumer and generation level. Performance comparison of the genetic algorithm (GA) and salp swarm algorithm (SSA)-based controllers (proportional-integral (PI) or proportional integral derivative (PID)) is performed, and the hybrid energy system model with demand response shows the supremacy of SSA in terms of minimization of peak load and enhanced frequency stabilization of the system. © 2020 by the authors. Licensee MDPI, Basel, Switzerland.Publication Fractional order fuzzy based virtual inertia controller design for frequency stability in isolated hybrid power systems(MDPI AG, 2021-03-15) Mahto, Tarkeshwar; Kumar, Rakesh; Malik, Hasmat; Hussain, S. M. Suhail; Ustun, Taha Selim; DEPARTMENT OF COMPUTER SCIENCEIn the present era, electrical power system is evolving to an inverter-dominated system from a synchronous machine-based system, with the hybrid power systems (HPS) and renewable energy generators (REGs) increasing penetration. These inverters dominated HPS have no revolving body, therefore, diminishing the overall grid inertia. Such a low system inertia could create issues for HPS with REG (HPSREG) such as system instability and lack of resilience under disturbances. A control strategy, therefore, is required in order to manage this task besides benefitting from the full potential of the REGs. A virtual inertia control for an HPSREG system built with the principle of fractional order (FO) by incorporation of proportional-integral-derivative (PID) controller and fuzzy logic controller (FLC) has been projected. It is utilized by adding virtual inertia into HPSREG system control loop and referred to as FO based fuzzy PID controller for this study. Simulation outcomes states that the advocated FO based fuzzy PID controller has superior control in frequency of the system under frequent load variations. It has been noted that the proposed control scheme exhibits improved efficiency in maintaining specific reference frequency and power tracking as well as disturbance diminution than optimal classic and FO-based controller. It has been validated that, the developed controller effectively delivers preferred frequency and power provision to a low-inertia HPSREG system against high load demand perturbation. In the presented paper, analysis based on sensitivity has also been performed and it has been found that the HPSREG system’s is not effected by system parameter and load variations. © 2021 by the authors. Licensee MDPI, Basel, Switzerland.