Hemanshu Roy Pota

The University of New South Wales Canberra

This paper introduces an enhanced framework for managing Battery Energy Storage Systems (BESS) in residential communities. The non-convex BESS control problem is first addressed using a gradient-based optimizer, providing a benchmark solution. Subsequently, the problem is tackled using multiple Deep Reinforcement Learning (DRL) agents, with a speci...

Nano helicopter unmanned air vehicles (NHUAVs) offer significant advantages due to their compact size, maneuverability , and cost-effectiveness, making them versatile and flexible platforms for various applications. Despite these merits, achieving full autonomy in NHUAV control presents challenges including multi-variable, strongly coupled nonlinea...

This study examines the utilization of digital twin technology as an effective tool for enhancing management and control strategies aimed at optimizing microgrid operations. Thereafter, this paper presents the design of a digital twin microgrid (DTMG) for its optimum operation with self-healing strategies. The design is carried out based on a compo...

Accurate fault detection and localization play a pivotal role in the reliable and optimal operation of electric power distribution networks. However, the integration of intermittent distributed generation (DG) brings distinctive challenges to traditional fault diagnosis schemes, requiring more robust approaches. This paper proposes an intelligent a...

Electricity outages can result in consequences for customers and cause disruptions that result in revenue loss, business productivity reduction, appliance damage, and compromised public safety. To minimize outage duration, locating faults quickly and accurately is crucial. Advanced fault management strategies leverage computational intelligence and...

Achieving optimal dynamic performance and effective filtering simultaneously presents a significant challenge in three-phase proportional-integral (PI)-phase-locked loop (PLL) systems. To address this challenge, the article introduces a novel approach by replacing the PI controller with a terminal sliding mode (TSM) controller within a synchronous...

This paper presents the importance of stakeholder-centric dynamic operating envelopes for integrating distributed energy resources (DERs) in distribution networks. Excessive power injections by the customers affect the distribution network performance, causing voltage imbalance, demonstrating the need for equitable and fair allocation of dynamic op...

A self-organising bidirectional fuzzy brain emotional learning (SO-BFBEL) controller is developed to control a quadcopter UAV in an uncertain environment. The proposed SO-BFBEL controller improves the performance of the existing BFBEL controller by generating more accurate fuzzy layers in real-time and removes the need to depend on expert knowledge...

To extract maximum power from the available wind energy, it is necessary that the doubly-fed induction generator (DFIG) based wind energy conversion system (WECS) outputs that maximum power at each instant of time for different wind speeds. This can be achieved by controlling the rotor voltage of the DFIG. To make it possible, a novel maximum power...

In practice, nonlinear electrical loads pose various power quality (PQ) challenges. Driven by these challenges, a parallel combination of a nonlinear load and a photovoltaic (PV) inverter with adaptive quantum normalized-least mean fourth (qXE-LMF) filter is proposed and experimentally validated to detect and compensate for the harmonics in harmon...

This paper proposes a novel framework to improve the prediction accuracy of very short-term (5-min) wind power generation. The framework consists of complete ensemble empirical mode decomposition with adaptive noise (CEEMDAN), monarch butterfly optimization (MBO) and long short-term memory (LSTM), called CEMOLS. The CEEMDAN is employed to extract c...

This paper introduces an energy management algorithm for a hybrid solar and biogas-based electric vehicle charging station (EVCS) that considers techno-economic and environmental factors. The proposed algorithm is designed for a 20-kW EVCS and uses a fuzzy inference system in MATLAB SIMULINK to manage power generation, EV power demand, charging per...

Federated Learning is a prominent machine learning paradigm which helps tackle data privacy issues by allowing clients to store their raw data locally and transfer only their local model parameters to an aggregator server to collaboratively train a shared global model. However, federated learning is vulnerable to inference attacks from dishonest ag...

A novel distributed real-time energy management strategy for inverter-based microgrids based on dynamic algorithms with a low computational burden and without the requirement of offline forecast or a central optimizer is presented in this paper. A dynamic economic dispatch problem is solved while a stability performance is guaranteed. The algorithm...

Due to fast response time and the ability to charge and discharge efficiently, the battery energy storage system (BESS) has become a promising option for ancillary services in low voltage networks. The BESS planning is more critical where only selected cost parameters were considered, and the sustainability aspects were ignored in most cases. In th...

Creating synthetic networks and datasets for power distribution network is challenging due to continuous expansion of networks, integration of new low carbon technologies and large penetration of renewable energy resources in network. In this paper, a practical approach for generating synthetic distribution networks and datasets using public databa...

Smart electricity meters as a prominent instance of the Internet of Things (IoT) have driven more efficient energy services in smart grids but also created growing concerns of consumer privacy. Homomorphic encryption of consumption data is a conventional solution for privacy protection, but it incurs a high computational burden to the resource-rest...

Most existing algorithms for electric vehicle charging station (EVCS) planning and scheduling of electric vehicles (EVs) do not consider the uncertain behavior of EVs and distribution networks, including the EV arrival and departure times, user driving needs, and realistic residential load and generation profiles. This paper proposes a bi-level pla...

Distribution networks are undergoing a transition due to the rapid increase in distributed energy resources (DERs). Concerns over revealing critical infrastructure information and breaching consumer privacy have significantly hindered their development. Many applications that require data sharing are still impractical due to the lack of sufficient...

In this paper, a novel adaptive finite-time sliding mode backstepping (AFSMBS) control scheme is suggested to control a type of high-order double-integrator systems with mismatched disturbances and uncertainties. A robust sliding mode backstepping control method, adaptive control method, and finite-time stability notion are incorporated to provide...

This article proposes a feedback linearized control scheme for a single-input two-output control problem of parallel-connected dc–dc voltage source converters in islanded dc microgrids. The designed current sharing controller can be reduced the voltage deviation in the islanded dc microgrids. In this control scheme, proportional-integral and propor...

Demographic factors, statistical information, and technological innovation are prominent factors shaping energy transitions in the residential sector. Explaining these energy transitions requires combining insights from the disciplines investigating these factors. The existing literature is not consistent in identifying these factors, nor in propos...

With the appearance of electric energy market deregulation, there exists a growing concern over the potential privacy leakage of commercial data among competing power companies where data sharing is essential in the applications such as smart grid state estimation. Most of the existing solutions are either perturbation-based or conventional cryptog...

A new way has been proposed in this paper to design a nonlinear feedback linearized controller for a single-input-two-output control problem of a multi-input multi-output system. An islanded AC microgrid linearized by the feedback linearization control scheme. The output voltages and currents are the control objectives to improve the voltage regula...

This Editorial Submission is for SS on Deep Learning and Data Analytics to Support the Smart Grid Operation with Renewable Energy. Out of 81 submissions in SS, only 12 have been finally accepted to be published in this Transactions.

This article presents a robust nonlinear controller for distributed fuel cell in the three-phase grid-connected system. A partial feedback linearization scheme is applied to linearize the grid-connected fuel cell system. The mismatches between the actual system and the dynamical model are considered uncertainties. The noise decoupling capability of...

In the last decade, there have been significant developments in the field of intelligent energy management systems (IEMSs), with various methods and new solutions proposed for managing the energy resources intelligently. An important issue related to finding the desired outcomes remains unexplored, i.e., how to determine key insights from the spars...

This paper presents a mixed-sensitivity-based robust H∞ loop-shaping partial feedback linearized control scheme to enhance the transient stability of a battery energy storage-associated standalone solar photovoltaic system. The proposed control scheme has been provided independent operating points for a generalized nonlinear dynamical model of DC m...

The advent of smart power grid which plays a vital role in the upcoming smart city era is accompanied with the implementation of a monitoring tool, called state estimation. For the case of the unbalanced residential distribution grid, the state estimating operation which is conducted at a regional scale is considered as an application of the edge c...

A novel bidirectional fuzzy brain emotional learning (BFBEL) controller is proposed to control a class of uncertain nonlinear systems such as the quadcopter unmanned aerial vehicle (QUAV). The proposed BFBEL controller is non-model based and has a simplified fuzzy neural network structure and a novel bidirectional brain emotional learning (BBEL) al...

Theme: In smart grid operation, the data exchange between grid components and data-driven solutions will help to enable optimized bi-directional power flow between utility grid and prosumers with renewable energy. The end user prosumers may be industrial, commercial or even residential, including electric vehicle (EVs)/plug-in hybrid EVs. The trans...

This letter presents experimental results showing significant enhancement in the dynamic performance of a novel piezoelectric micro-lens actuator using a robust feedback resonant controller. The design of the feedback controller is based on experimentally identified model of the micro-lens actuator. The stability of the closed-loop system is proven...

The proportional power sharing is essential to guarantee reliability on the operation of an islanded microgrid. However, inaccurate reactive power sharing in scenarios with line impedance mismatches, and slow transient response remains important limitations of most of the conventional power sharing controllers. In this work, a novel method for powe...

The evolution of the traditional power system toward the modern smart grid has posed many new cybersecurity challenges to this critical infrastructure. One of the most dangerous cybersecurity threats is the false data injection (FDI) attack, especially when it is capable of completely bypassing the widely deployed bad data detector of state estimat...

A distribution network is one of the main parts of a power system that distributes power to customers. While there are various types of power distribution networks, a recently introduced novel structure of an aromatic network could begin a new era in the distribution levels of power systems and designs of microgrids or smart grids. In order to mini...

This paper proposes a new control scheme for a 3-dimensional (3D) overhead crane having simultaneous payload hoisting and persistent wind disturbance. Control of the 3D crane system under those effects is highly challenging as it results in a high unwanted payload sway and inaccurate payload positioning. The proposed control structure which combine...

With the recent rollout of smart meters, huge amount of data can be generated on hourly and daily basis. Researchers and industry persons can leverage from this big data to make intelligent decisions via deep learning (DL) algorithms. However, the performance of DL algorithms are heavily dependent on the proper selection of parameters. If the hyper...

Smart grid is equipped with various kinds of smart devices such as meters, sensors, and actuators, to name a few, and it can be characterized as the Internet of Things. The cyber domain of this cyber-physical system also has to deal with many cyber-threats, including the stealthy False Data Injection (FDI) attack. This man-in-the-middle data-driven...

The evolution of the traditional power system towards the modern smart grid has posed many new cybersecurity challenges to this critical infrastructure. One of the most dangerous cybersecurity threats is the False Data Injection (FDI) attack, especially when it is capable of completely bypassing the widely deployed Bad Data Detector of State Estima...

The typical layout of power systems is experiencing significant change, due to the high penetration of renewable energy sources (RESs). The ongoing evaluation of power systems is expecting more detailed and accurate mathematical modeling approaches for RESs which are dominated by power electronics. Although modeling techniques based on state–space...

This paper presents a robust nonlinear decentralized control scheme for islanded dc microgrids, where the main control objectives are to achieve the desired voltage at the common dc bus and to maintain the power balance. The proposed control scheme uses the partial feedback linearization scheme to simplify the dynamical models of different componen...

An efficient maximum power point tracking (MPPT) method plays an important role to improve the efficiency of a photovoltaic (PV) generation system. This study provides an extensive review of the current status of MPPT methods for PV systems which are classified into eight categories. The categorisation is based on the tracking characteristics of th...

In this paper, a robust controller for the positioning of a piezoelectric tube scanner (PTS) used in an atomic force microscope (AFM) is proposed. A minimax linear quadratic Gaussian (LQG) controller is designed based on an uncertain system model which is constructed by measuring modeling error between the measured and model frequency response. Thi...

A storage system is a key component of a microgrid. Over the last few years, research has been undertaken to determine optimal management of microgrid resources. Battery storage has a significant impact on the total operational cost as the lifetime of the battery reduces during charging and discharging cycles. In this paper, we propose optimal ener...

In modern power systems the increasing penetration of renewables and power electronics, particularly converter-based wind and solar power generation, is transforming system dynamics and bringing new stability concerns. One major issue that is currently attracting considerable attention is the wide range of power oscillations associated with renewab...

This paper proposes a Bidirectional Fuzzy Brain Emotional Learning (BFBEL) control system to control Aerial Robots. The proposed controller is based on the emotional and logical processing of the brain. The proposed control system merges fuzzy inference and a bidirectional brain emotional learning algorithm. The Bidirectional Fuzzy Brain Emotional...

There has been a considerable importance for the islanding detection due to the growing integration of distributed generations (DGs) in the modern power grids. This paper proposes a novel active islanding detection scheme for synchronous DGs, considering two additional compensators and a positive feedback for each of active and reactive power contr...

This paper presents an approach to design a nonlinear controller for grid-connected fuel cell (FC) systems in order to provide ancillary services to low or medium voltage power networks. In this paper, these ancillary services mainly refer to the delivery of both active and reactive power from the FC to the grid under different operating conditions...

A new method for the control of a battery energy storage system and its implementation on a solar system to compensate power intermittency and improve distribution grid power quality is presented in this paper. The novelty of the proposed method is to provide a systematic way to optimize the size of the battery capacity for the desired level of sol...