- Microgrid Control and Optimization
- Smart Grid Energy Management
- Islanding Detection in Power Systems
- Power Systems Fault Detection
- Integrated Energy Systems Optimization
- Optimal Power Flow Distribution
- Power System Optimization and Stability
- Energy Load and Power Forecasting
- Electric Vehicles and Infrastructure
- HVDC Systems and Fault Protection
- Smart Grid Security and Resilience
- Advanced Battery Technologies Research
- Power Systems and Renewable Energy
- Power System Reliability and Maintenance
- Multilevel Inverters and Converters
- Solar Radiation and Photovoltaics
- Hybrid Renewable Energy Systems
- Neural Networks and Applications
- Metaheuristic Optimization Algorithms Research
- Phytoplasmas and Hemiptera pathogens
- Power Line Communications and Noise
- Wind Turbine Control Systems
- Water-Energy-Food Nexus Studies
- Photovoltaic System Optimization Techniques
- Electric Power System Optimization
Griffith University
2019-2024
Baqiyatallah University of Medical Sciences
2024
University of Auckland
2018-2019
The University of Texas at Arlington
2017
Nanyang Technological University
2016-2017
Amirkabir University of Technology
2008-2016
University of Technology Malaysia
2014-2015
This paper presents a method to forecast the probability distribution function (PDF) of generated power PV systems based on higher order Markov chain (HMC). Since output system is highly influenced by ambient temperature and solar irradiance, they are used as important features classify different operating conditions system. The classification procedure carried out applying pattern discovery historical data mentioned variables. An HMC developed categorized in each point. 15-min ahead PDF...
Many methods have been proposed to determine the optimal location and capacities of distributed generation (DG) units reach lowest value for system losses. In this study, combination analytical genetic algorithm is used allocation multiple DGs in a distribution network minimise This guarantees convergence accuracy speed DG allocation. active power, power factor, are simultaneously considered during losses minimisation. The utility will dictate only maximum if installed by owner. However,...
This paper deals with a residential hybrid thermal/ electrical grid-connected home energy system, including fuel-cell combined heat and power (CHP) battery as storage system (ESS). A day-ahead scheduling algorithm for managing different resources is developed to generate an efficient look-up table that determines optimal operation schedule the distributed at each time interval, so cost of smart house minimized. The impact electricity tariff efficiency are considered when optimizing schedules.
A new objective function (OF) has been proposed for mathematical formulation of directional overcurrent (OC) relay coordination in interconnected networks. The fuzzy-based genetic algorithm (GA) is applied to optimize the OF optimal OC relays. defined fuzzy rules update weighting factors during simulation. miscoordination problem relays solved while decreasing operating time method implemented three different networks and simulation results have compared with previous studies order...
Due to their intermittency and unpredictability, increasing the penetration level of renewable energy (RE) resources power system leads difficulties in operation. Reliable operation requires a precise forecast generated by RE units. Photovoltaic (PV) wind units are significant portion integrated into system. This paper proposes method for PV achieve good prediction accuracy different weather conditions. Not only is relation between output modeled, but heat index (HI) also taken consideration...
Nowadays, residential households, including both consumers and emerging prosumers, have exhibited a growing demand for active/reactive power. This surge arises from activities such as charging electrical devices, leveraging flexible resources, integrating renewable energy sources. To meet this escalating effectively, operators must ensure the provision of an ample supply Achieving necessitates identification influential factors generation precise forecasts power demand. Hence, work proposes...
Electric Vehicles (EVs) may significantly affect the stability of microgrids. To incorporate EVs with Vehicle-to-Grid (V2G) capability into frequency control, existing approaches have primarily focused on charge level batteries to derive participation individual EVs. However, examining only State Charge (SoC) does not provide an effective evaluation measure distinguish between varying owner expectations. Furthermore, proliferation renewable energies, will be required participate in voltage...
Online optimal control of a multicarrier home energy system, including fuel cell (FC) with combined heat and power functionality, furnace, battery as an storage is presented in this paper. An appropriately defined objective function (OF) formulated to address the operation costs system by considering electrical time-of-use price time-varying thermal demand. To determine strategy FC, OF solved analytically reach closed-form solution for which results global optimum compared near-optimal point...
In modern power systems, conventional energy production units are being replaced by clean and environmentally friendly renewable resources (RESs). Integrating RESs into systems presents numerous challenges, notably the need for enhanced grid stability reliability. RES-dominated fail to meet sufficient demand due insufficient inertia responses. To address this issue, various virtual emulation techniques proposed bolster system amidst increased integration of sources grid. This review article...
Overcurrent relays should be coordinated for different operation conditions in interconnected networks. In addition, the time interval not reach under predefined threshold each pair of primary and backup faults occurring protection zone relay. An analytical approach is presented this paper to calculate impedance matrix network fault condition order determine critical point accurately. are by using instead close-in used previous studies. Simulation results show accuracy proposed method...
Abstract Economic profit is the main incentive for PV‐integrated residential prosumers, so energy management algorithms play a key role in these systems. The priority of conventional rule‐based systems (REMS) to supply demand. As result, total amount sold distribution network, and consequently user such systems, not considerable. This study proposes smart system (SEMS) optimal grid‐connected photovoltaic (PV) system, including battery as an storage unit. proposed method, which simulated by...
Abstract This article deals with the problem of economic dispatch smart home integrated energy system, including combined heat and power battery that is connected to utility. The effects electricity tariff are also considered in system operation costs. Test results indicate optimal scheduling proper routing different time intervals would decrease operating strategy for generation units storage devices listed tables, which can be used as lookup tables. Keywords: schedulingresidential...