Hassan Haes Alhelou

Monash University (Australia)

This paper proposes a novel, unknown input functional observer based optimal load frequency control approach for real world complex nonlinear power systems. In the proposed control approach, the control signal applied to each power plant is directly estimated via the well-designed functional observer. The proposed functional dynamic estimator is ab...

This paper proposes a novel, fully decentralized load frequency control (LFC) approach based on dynamic state estimation (DSE). The proposed approach employs an unknown input observer (UIO) for each power system area for tracking the dynamic states in real time operation. In order to achieve the fully decentralized control approach, the demand fluc...

Cyberattacks against measured variables and faulty metering devices are among the most important threats to modern systems that should be detected and isolated, and the control actions based on the measured variables should be appropriate in order to keep the power system security. This paper proposes a dynamic state estimation based cyberattack to...

The integration of modern power systems with information and communication technologies exposes them to various cyber threats. Load frequency control (LFC) is a communication-based automation in power systems that regulates the frequency of the grid. Its critical role makes it a highly attractive target for adversaries. This paper proposes a novel...

Using PMU data, the fault location algorithm has gradually been trended in the literature. Besides the optimality of the algorithm, the fault location application should directly receive the data of the faulty line from the PMU devices to have the best performance; using state estimation to create the input data of fault location algorithm not only...

The electricity generated from the present-day large capacity doubly fed induction generator (DFIG) installed wind farm is generally transmitted to utility grid via medium or high voltage transmission line (TL). Due to the restriction of building new TLs, series compensated TLs are some cases preferred for such applications. But, the nonlinear outp...

The purpose of this paper is to examine cyber security issues related to smart grids (SGs), such as prior cyber‐attacks, possible vulnerability issues, and enhanced cyber‐security procedures for SGs on a technical and management basis. When designing public policies for SGs, it is important to consider both the motivations and obstacles to cyber pr...

This book covers smart grid applications of various big data analytics, artificial intelligence, and machine learning technologies for demand prediction, decision-making processes, policy, and energy management. It delves into the new technologies such as the Internet of Things, blockchain, etc. for smart home solutions, and smart city solutions in...

Obtaining accurate solutions in an acceptable computation time for the problem of distribution systems reconfiguration is very important because the topology of real distribution systems needs to be changed several times a day in online applications. In this way, the processing time of reconfiguration models must be short enough for quick response...

Sensorless speed control of a brushless DC (BLDC) motor, basically a combined control‐observer design, plays a crucial role in several industries, including electrical and aerospace applications. The key idea is to use only electrical (current) sensors and the remaining mechanical states (speed and rotor position) to be estimated using square‐root...

In distributed networks, wind turbine generators (WTGs) are to be optimally sized and positioned for cost‐effective and efficient network service. Various meta‐heuristic algorithms have been proposed to allocate WTGs within microgrids. However, the ability of these optimizers might not be guaranteed with uncertainty loads and wind generations. This...

The emergence of micro-sources in the energy market to reduce carbon emissions and exploit more renewable generations increases the frequency oscillations of the system. Hence, this paper attempts to develop a robust nonlinear fractional order proportional integral derivative (NLFOPID) controller for frequency regulation of restructured energy syst...

p>This industry-oriented paper proposes a novel sophisticated frequency control system for the Australian National Electricity Market (NEM) power system considering the special design of its current automatic generation control system, which does not involve interconnectors between different power regions, resulting in technical challenges for both...

p>This industry-oriented paper proposes a novel sophisticated frequency control system for the Australian National Electricity Market (NEM) power system considering the special design of its current automatic generation control system, which does not involve interconnectors between different power regions, resulting in technical challenges for both...

p>This industry-oriented paper presents an overview and in-depth analysis of previous and current situations of power system frequency response and control in Australia. The evaluation of different services provided by different electricity market players under the supervision of the Australian Energy Market Operator (AEMO) as an independent system...

p>This industry-oriented paper presents an overview and in-depth analysis of previous and current situations of power system frequency response and control in Australia. The evaluation of different services provided by different electricity market players under the supervision of the Australian Energy Market Operator (AEMO) as an independent system...

In this paper, a decentralized load frequency control (LFC) is proposed for the frequency regulation of multi-area power systems applying optimized integral sliding mode control (OISMC) scheme. A modified particle swarm optimization (MPSO) algorithm is utilised to optimize the control variables of the proposed controller for improving the performan...

Over the past decade, energy storage in renewable energy-dominated systems has received increasing interest. Effective energy storage has the potential to enhance the global hosting capacity of renewable energy in power systems, accelerate the global energy transition, and reduce our reliance on fossil fuel-based generation. Pumped hydro storage (P...

With the uptake of advanced communication technologies, monitoring and operation of power systems have been experiencing a paradigm shift. Many centralized algorithms can now be implemented in a distributed scheme. For example, local decisions can make faster actions resulting in a resilient power grid. Despite these advantages, these communication...

Grid-Forming Power Inverters: Control and Applications is the first book dedicated to addressing the operation principles, grid codes, modelling and control of grid-forming power inverters. The book initially discusses the need for this technology due to the substantial annual integration of inverter-based renewable energy resources. The key differ...

Technological advances resulted in overwhelming usage of electronic gadgets across the world which further resulted in increased load demands. The obvious challenges are blackouts, overloads and voltage sags. One possible and trusted solution for these problems is Smart grid. A power network supported by digital communication technology is termed a...

Abstract Photovoltaic (PV) roof‐top systems in real‐time environments are highly susceptible to the commonly occurring scenario of partial shading that occurs due to unavoidable conditions such as the shadow of buildings and trees. The occurrence of partial shading creates a serious mismatch among the modules of PV arrays that results in severe une...

The Optimal Power Flow (OPF) is a primary tool in planning and installing power systems. It attempts to minimize the operating costs associated with generating and transmitting electrical power by modifying control parameters to satisfy environmental, economic, and operational constraints. Implementing an efficient and robust optimization algorithm...

A shared pool of grid-scale storage resources called Cloud Energy Storage (CES) can bring substantial benefits to the economical and reliable operation of MGs. However, the investment cost of CES may not be affordable for a single microgrid (MG). As a solution, we propose an approach in which neighboring microgrids in a distribution network collabo...

Due to the intermittent and hazardous nature of lightning impulse, researchers rely on artificial impulse generators to study it. The Tesla coil is a commonly used device to generate artificial lightning. This paper presents a parametric analysis of the primary side coil of the Tesla transformer. The analysis employs seven key electrical properties...

Battery storage units (BSUs) are usually used to perform a single function in most planning studies related to microgrids (MGs). This paper presents an effective methodology to use the BSUs to perform multi-function including supply/demand matching and energy arbitrage. This is done according to a system policy containing all possible scenarios to...

This paper suggests an alternate level enhancing algorithm to operate the nine-level cascaded multilevel inverter (CHBMLI) for a 31-level output, which involves an inventive selection of optimal asymmetrical voltage values in separate DC sources (SDCs) and a quarter-wave symmetry pulse pattern pulse width modulation (QSP-PWM). The symmetrical CHBML...

Load frequency control (LFC) is a crucial application in modern power systems as it ensures the system frequency remains within an acceptable range through demand control and active power generation. However, as information and communication technology (ICT) becomes more prevalent in power system, there are both opportunities for improved reliabili...

In this work, the proposed model is developed by employing a smart metre design which is done by controlling and monitoring the system frequency. This model estimates the changes in the frequency in accordance to the loading conditions of the power system, overload or under load‐conditions respectively. The estimated frequency is analysed by employ...

Photovoltaic energy source growth is significant in power generation field. Moreover, grid connected inverters strengthen this growth. Development of transformerless inverters with higher efficiency, low cost and size is competitive than the inverters with transformers. However, leakage current generation in transformerless inverters is a challenge...

The voltage source converters (VSCs) are used to interface and control the renewable energy resources that are integrated into the power grids. However, a weak grid connection raises a stability problem for grid synchronization of the grid-feeding current-controlled VSCs (CCVSCs). This paper handles modeling and controller design for stabilizing th...

This paper proposes a new methodology incorporated recent metaheuristic approach named wild horse optimizer (WHO) to construct the equivalent circuit of triple‐junction solar (TJS) panel. The proposed WHO is employed to identify the optimal parameters of the constructed circuit with the aid of experimental data, the target is minimizing the integra...

Feeder reconfiguration is an effective way to reduce power losses of distribution network. In this way, configuration of distribution system is changed in order to achieve possible minimum losses, while electricity demand of consumers has to be provided. Consumers' power demand has an important role in feeder reconfiguration because any change in d...

Multi-heterogeneous energy (MHE) system includes both energy systems: regional-level and park-level. Energy hub station (EHS) is the energy interaction hub between regional-level energy system and park-level energy users. In order to achieve the multi-energy optimal dispatching, it is very essential to properly coordinate the lean modeling and fast...

In this paper, an innovative fault section location method is introduced for enhancing the resilience of distribution systems. After analyzing the flaws in existing section location methods, it has been argued that certain types of distortion in some nodes can lead to misjudgment and overestimation of section location. In order to solve such a prob...

The hybrid model of the power system infrastructure is an essential part of the sophisticated technology of the electrical network. Generally, for the Optimal Power Flow (OPF) problem, a power system with only thermal generators to generate electricity is considered. In traditional OPF problems, the fuel cost required to produce electrical energy i...

This paper presents a solar dynamic voltage restorer for hybrid series‐connected solar‐wind farms to mitigate the power quality problems. The operating region of the proposed hybrid system is derived and studied through graphical analysis. Upon examination of the system's operation under various grid conditions, the feasibility of solar PV power in...

Recently several research papers mostly consigning towards multiphase induction motors (IM) drives outstanding to their several benefits compared to the three-phase motors in particular increasing the torque pulsations frequency and reducing the rotor harmonic current losses. Thus, designing a robust controller to ensure the proper operation of suc...

Induction heating (IH) applications aided power electronic control and becomes most attractive in recent years. Power control plays a vital role in any IH applications in which the stability of the converter is still a research hot spot due to variable frequency operation. In the proposed work, the stability of the converter is carried out based on...

Cloud computing is an environment where everything is provided as a service based on demand. It follows pay as per the used model in which the service consumer needs to pay for what they have consumed. Due to the increased dependence on digitalization, the number of consumers and providers tends to grow tremendously. The consumer who needs the serv...

A low‐cost battery‐less solar‐powered PMDC motor using an adaptive backstepping Chebyshev neural network controller to track the desired speed for any change in irradiance and load torque is proposed in this paper. The neural network is used for approximating the variable load torque because of its approximation property. The computational burden o...

The main aim of this book is to provide information on smart meters starting from their background, structure, and architectural requirements for their applications in smart grid, in different sectors. The book deals with data handling challenges, technologies used to mitigate this, and future applications of smart metering. The advanced architectu...

A compact DC-DC converter is required as an auxiliary power module in Electric Vehicles (EVs) to power the onboard electric motor and other auxiliaries. Most of the existing multi-port converters have limitations on duty ratio, charging currents of the inductor ( $\text{i}_{\mathrm {L1}}{>}\text{i}_{\mathrm {L2}}$ or $\text{i}_{\mathrm {L1}}{< }\...

The integration of various types of renewable energy sources and storage systems into power system increases the complexity of the conventional power system, necessitating a comprehensive optimal power flow analysis with multiple and/or competing objectives. From this viewpoint, the paper proposes optimal utilization of different power system entit...

A two-stage adaptive robust optimization is developed for pre-disturbance scheduling in microgrids (MGs) for handling uncertainties associated with electricity market prices, renewable generation, demand forecasts, and islanding events. The objective is to produce a reliable and optimal solution for MG operation that minimizes operational costs and...

Partial shading conditions (PSC) across the solar photovoltaic (PV) array reduce the overall power yield of the PV plant. Therefore, it is essential to decrease mismatch power loss (MPL) incurred under PSC. For this purpose, total‐cross‐tied (TCT)‐based ‘hybrid interconnection’ schemes of solar PV array are investigated in the present research work...

Iran is one of the most potent energy exporters and fastest‐growing energy consumers in the world. Its large amount of energy exported can directly impact the economy of importer countries. Iran's energy matrix mostly consists of hydrocarbons, while the remaining portion is compounded by a blend of biofuels, hydropower, wind, solar, and other renew...

The integration of large-scale wind farms creates significant uncertainty and remarkable technical challenges for power systems due to their intermittency. Comprehensive wind power dependence structure modeling is essential for uncertainty management in the optimal operation of modern power systems with many wind farms. This paper presents an effic...

A relative assessment on conventional and adaptive current controllers used in reduced sensor‐maximum power point tracking (MPPT) based photovoltaic (PV)‐grid tied inverter systems for the improvement of system power quality is suggested. The steady‐state and transients errors produced in the conventional PI and proportional resonant controllers, w...

The quality of power generation from various energy sources is essential for industrial and household applications. To achieve the quality of power by minimizing the total harmonic distortion (THD) through multi‐level inverters (MLIs) is an attractive solution. MLIs have tremendous performance against %THD and electromagnetic interference (EMI) iss...

Advances in technology and population growth are two factors responsible for increasing electricity consumption, which directly increases the production of electrical energy. Additionally, due to environmental, technical and economic constraints, it is challenging to meet demand at certain hours, such as peak hours. Therefore, it is necessary to ma...

The increase in penetration of large‐scale renewable generation significantly affects power system characteristics. Thus, it is necessary to assess the steady state and dynamic performance of a power system for different installing scenarios of renewable power plants such as photovoltaic (PV) ones. The paper specifically investigates the impacts of...

In this paper, a Data-Driven Adaptive Control (DDAC) technique is proposed for the Automatic Generation Control (AGC) problem of an interconnected power grid subject to Deception Attack (DA). The emergence of the Internet of Things (IoT) and the advancement of communication technologies have provided an opportunity for power system operators and de...