Mohammad Abusara
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View article: Centralised Control and Energy Management of Multiple Interconnected Standalone AC Microgrids
Centralised Control and Energy Management of Multiple Interconnected Standalone AC Microgrids Open
When microgrids operate autonomously, they must curtail the surplus of renewable energy sources (RES) while minimising reliance on gas. However, when interconnected, microgrids can collaboratively minimise RES curtailment and gas consumpti…
View article: A review of recent control techniques of drooped inverter‐based AC microgrids
A review of recent control techniques of drooped inverter‐based AC microgrids Open
As the penetration of distributed generation (DG) systems in the grid is increasing, the challenge of combining large numbers of DGs in the power systems has to be carefully clarified and managed. The control strategy and management concep…
View article: Prioritized experience replay based deep distributional reinforcement learning for battery operation in microgrids
Prioritized experience replay based deep distributional reinforcement learning for battery operation in microgrids Open
This is the author accepted manuscript. The final version is available on open access from Elsevier via the DOI in this record
View article: Power Flow Management of Interconnected AC Microgrids Using Back-to-Back Converters
Power Flow Management of Interconnected AC Microgrids Using Back-to-Back Converters Open
Microgrids have limited renewable energy source (RES) capacity, which can only supply a limited amount of load. Multiple microgrids can be interconnected to enhance power system availability, stability, reserve capacity, and control flexib…
View article: A Review of Recent Control Techniques of Drooped Inverter-Based AC Microgrids
A Review of Recent Control Techniques of Drooped Inverter-Based AC Microgrids Open
As the penetration of distributed generation (DG) systems in the grid is increasing, the challenge of combining large numbers of DGs in the power systems has to be carefully clarified and managed. The control strategy and management concep…
View article: A Review of Recent Control Techniques of Drooped Inverter-Based AC Microgrids
A Review of Recent Control Techniques of Drooped Inverter-Based AC Microgrids Open
As the penetration of distributed generation (DG) systems in the grid is increasing, the challenge of combining large numbers of DGs in the power systems has to be carefully clarified and managed. The control strategy and management concep…
View article: Dual-Layer Q-Learning Strategy for Energy Management of Battery Storage in Grid-Connected Microgrids
Dual-Layer Q-Learning Strategy for Energy Management of Battery Storage in Grid-Connected Microgrids Open
Real-time energy management of battery storage in grid-connected microgrids can be very challenging due to the intermittent nature of renewable energy sources (RES), load variations, and variable grid tariffs. Two reinforcement learning (R…
View article: Real-Time Economic Dispatch of CHP Systems with Battery Energy Storage for Behind-the-Meter Applications
Real-Time Economic Dispatch of CHP Systems with Battery Energy Storage for Behind-the-Meter Applications Open
The use of combined heat and power (CHP) systems has recently increased due to their high combined efficiency and low emissions. Using CHP systems in behind-the-meter applications, however, can introduce some challenges. Firstly, the CHP s…
View article: Assessment of supercapacitor performance in a hybrid energy storage system with an EMS based on the discrete wavelet transform
Assessment of supercapacitor performance in a hybrid energy storage system with an EMS based on the discrete wavelet transform Open
When battery and supercapacitor (SC) Energy Storage Systems (ESSs) coexist in electric vehicles, energy management is imperative to ensure efficient power distribution based on the strengths and weaknesses of each ESS.The decoupling of hig…
View article: Nanogrid Power Management Based on Fuzzy Logic Controller
Nanogrid Power Management Based on Fuzzy Logic Controller Open
The transport industry is undergoing unprecedented technological change. In the automotive sector, the voices of progress are, among other things, linked to the partial or total electrification of vehicles. Thanks to bi-directional chargin…
View article: An Energy Management System for the Control of Battery Storage in a Grid-Connected Microgrid Using Mixed Integer Linear Programming
An Energy Management System for the Control of Battery Storage in a Grid-Connected Microgrid Using Mixed Integer Linear Programming Open
This paper proposes an energy management system (EMS) for battery storage systems in grid-connected microgrids. The battery charging/discharging power is determined such that the overall energy consumption cost is minimized, considering th…
View article: Reinforcement Learning for Energy-Storage Systems in Grid-Connected Microgrids: An Investigation of Online vs. Offline Implementation
Reinforcement Learning for Energy-Storage Systems in Grid-Connected Microgrids: An Investigation of Online vs. Offline Implementation Open
Grid-connected microgrids consisting of renewable energy sources, battery storage, and load require an appropriate energy management system that controls the battery operation. Traditionally, the operation of the battery is optimised using…
View article: Design Optimisation of a Current-Fed Solid-State Transformer for MV Grid-Connected Applications
Design Optimisation of a Current-Fed Solid-State Transformer for MV Grid-Connected Applications Open
For integrating large batteries in the medium voltage grid, current fed solid-state transformers offer galvanic isolation and a significant weight and size reduction. While the power losses increase with frequency and flux density, the cor…
View article: Multi-Objective Reinforcement Learning based Multi-Microgrid System Optimisation Problem
Multi-Objective Reinforcement Learning based Multi-Microgrid System Optimisation Problem Open
Microgrids with energy storage systems and distributed renewable energy sources play a crucial role in reducing the consumption from traditional power sources and the emission of $CO_2$. Connecting multi microgrid to a distribution power g…
View article: Grid Island Energy Transition Scenarios Assessment Through Network Reliability and Power Flow Analysis
Grid Island Energy Transition Scenarios Assessment Through Network Reliability and Power Flow Analysis Open
This paper presents a methodology for the reliability and power flow analysis of islands or off-grid power networks for situations of scarce data and information. It offers a new and pragmatic approach to derive the required power network …
View article: Electric Water Heaters Management via Reinforcement Learning With Time-Delay in Isolated Microgrids
Electric Water Heaters Management via Reinforcement Learning With Time-Delay in Isolated Microgrids Open
Isolated microgrids powered by renewable energy sources, battery storage, and backup diesel generators need appropriate demand response to utilize available energy and reduce diesel consumption efficiently. However, real-time demand-side m…
View article: Towards Real-Time Reinforcement Learning Control of a Wave Energy Converter
Towards Real-Time Reinforcement Learning Control of a Wave Energy Converter Open
The levellised cost of energy of wave energy converters (WECs) is not competitive with fossil fuel-powered stations yet. To improve the feasibility of wave energy, it is necessary to develop effective control strategies that maximise energ…
View article: Stability Analysis and Control of a Microgrid against Circulating Power between Parallel Inverters
Stability Analysis and Control of a Microgrid against Circulating Power between Parallel Inverters Open
In grid-connected mode, the grid normally absorbs all the power generated by each inverter in a microgrid. Droop control-based microgrid power management employs the frequency as a wireless communication to determine the power outage. Howe…
View article: Control Strategy for Uninterrupted Microgrid Mode Transfer During Unintentional Islanding Scenarios
Control Strategy for Uninterrupted Microgrid Mode Transfer During Unintentional Islanding Scenarios Open
This paper presents a microgrid control strategy to unify the control topology for energy storage systems (ESS) and renewable energy sources (RES) inverters in an AC microgrid and to protect the microgrid reliability from unintentional isl…
View article: Smooth mode transfer in AC microgrids during unintentional islanding
Smooth mode transfer in AC microgrids during unintentional islanding Open
© 2017 The Authors. Published by Elsevier. This is an open access article available under a Creative Commons licence.
\nThe published version can be accessed at the following link on the publisher’s website: https://doi.org/10.1016/j.egyp…
View article: Reactive control of a two-body point absorber using reinforcement learning
Reactive control of a two-body point absorber using reinforcement learning Open
This is the author accepted manuscript. The final version is available from Elsevier via the DOI in this record.
View article: Hybrid, Multi-Megawatt HVDC Transformer Topology Comparison for Future Offshore Wind Farms
Hybrid, Multi-Megawatt HVDC Transformer Topology Comparison for Future Offshore Wind Farms Open
With the wind industry moving further offshore, High Voltage Direct Current (HVDC) transmission is becoming increasingly popular. HVDC transformer substations are not optimized for the offshore industry though, increasing costs and reducin…
View article: Control of a Realistic Wave Energy Converter Model Using Least-Squares Policy Iteration
Control of a Realistic Wave Energy Converter Model Using Least-Squares Policy Iteration Open
Published
View article: Control of a Point Absorber Using Reinforcement Learning
Control of a Point Absorber Using Reinforcement Learning Open
This work presents the application of reinforcement learning for the optimal resistive control of a point absorber. The model-free Q-learning algorithm is selected in order to maximise energy absorption in each sea state. Step changes are …