A5053278929- Optimal Power Flow Distribution
- Microgrid Control and Optimization
- Electric Power System Optimization
- Power System Reliability and Maintenance
- Power System Optimization and Stability
- HVDC Systems and Fault Protection
- Smart Grid Energy Management
- Energy Load and Power Forecasting
- Smart Grid Security and Resilience
- Energy and Environment Impacts
- Photovoltaic System Optimization Techniques
- Smart Grid and Power Systems
- Advanced Battery Technologies Research
- Solar Radiation and Photovoltaics
- Power Systems and Renewable Energy
- Global Energy Security and Policy
University of Da Nang
2018-2024
NSF National Center for Atmospheric Research
2020
Research Applications (United States)
2020
Politecnico di Milano
2015-2016
A modern renewable energy forecasting system blends physical models with artificial intelligence to aid in operation and grid integration. This paper describes such a being developed for the Shagaya Renewable Energy Park, which is by State of Kuwait. The park contains wind turbines, photovoltaic panels, concentrated solar technologies storage capabilities. fully operational Kuwait Prediction System (KREPS) employs (AI) multiple portions structure processes, both short-range (i.e., next six...
The penetration of renewable energy sources, particularly wind energy, into power systems has been rapidly increasing in recent years. However, the integration posed many challenges for system operation. For instance, this type source is relatively variable and unpredictable. installation might require grid to transmit at full capacity some transmission lines could become congested. As a result, operating conditions, be curtailed, which will drive up costs operators. One actions that can...
In this paper, we propose a new scheme for probabilistic power flow in networks with renewable generation by making use of data clustering technique. The proposed technique is based on the combination Principal Component Analysis and Differential Evolution algorithm to deal input random variables flow. Extensive testing modified IEEE-118 bus test system shows good performance approach terms significant reduction computation time compared traditional Monte Carlo simulation, while maintaining...
The inherently intermittent nature of wind power has posed challenges for the increasing integration this generation source into systems. A possibility mitigating difficulty is use large-scale energy storage systems (ESSs) such as battery (BES). ESSs could be used providing an economic utilization by displacing low cost during off-peak periods to more expensive peak periods. can also either reducing fluctuations from or alleviating transmission line congestions charging surplus at high and...
Renewable energy sources, such as wind and photovoltaic solar, have been increasingly integrated into electricity grids. They introduced additional uncertainty to power systems along with due stochastic nature of demand. Traditional deterministic flow does not provide sufficient information for the calculation analysis systems; therefore, manage uncertainties, probabilistic methodologies need be used. This paper presents a cumulant-based approach in which we develop technique deal various...
The penetration of renewable energy sources, particularly wind energy, into power systems has been rapidly increasing in recent years. This type sources is relatively variable and unpredictable. Wind could, for example, be available at low-load periods it may not committed to supply peak-load hours, which results a mismatch between generation load. One the actions that can taken support integration use Energy Storage Systems (ESSs). In this paper, we formulate an AC Optimal Power Flow (OPF)...
Renewable~resources have added additional uncertainty to power grids. Deterministic flow does not provide sufficient information for system calculation and analysis, since all sources of are taken into account. To handle uncertainties PPF has been introduced used as an efficient tool. In this paper, we present a cumulant-based approach that can account various in systems with renewable resources such wind photovoltaic energy. We also propose the use new methodology estimate probability...
Today, renewable energy sources (RESs) are increasingly being integrated into power systems. This means adding more of uncertainty to the system. To deal with input random variables (RVs) in system calculation and analysis problems, probabilistic flow (PPF) techniques have been introduced proven be effective. Currently, although there many proposed for solving PPF problem, Monte Carlo simulation (MCS) method is still considered as highest accuracy its results used a reference evaluation...
The increasing penetration of renewable energy sources has introduced great uncertainties and challenges into computation analysis electric power systems. To deal with uncertainties, probabilistic approaches need to be used. In this paper, we propose a new framework for assessment systems taking account from input random variables such as load demands sources. It is based on the cumulant-based Probabilistic Power Flow (PPF) in combination an improved clustering technique. technique also...
This paper proposes an optimal operation for coordinated Battery Energy Storage (BES) and wind generation in a day-ahead market under uncertainty. A comprehensive AC Optimal Power Flow (AC OPF) model was established to incorporate storage into power system. To take account forecast uncertainty, preprocessing technique, time series model, fast forward selection method were applied scenario reduction processes. Tests performed on modified IEEE 14-bus system the results show that use of BESs is...
Utility-scale Energy Storage Systems (ESSs) are increasingly employed with the rapid integration of wind energy to provide a more economic utilization this renewable source. They can displace low cost during off-peak periods expensive peak periods. This paper develops an AC Optimal Power Flow (OPF) model incorporation ESSs examine its combined operation generation in system multi-site farms. We illustrate and several tests on modified IEEE 57-bus 118-bus systems taking into account...
In this paper, an optimal power flow (OPF) model is developed to incorporate energy storage systems (ESSs) and renewables into systems. ESSs are utilized for peak shaving application. The aims at minimizing system generation cost while taking account limits ESS constraints. Tests carried out on modified IEEE 14-bus system. Simulation results show that the can effectively improve performance.
In this paper, we present an optimal capacity decision model for energy storage systems (ESSs) in combined operation with wind power systems. We use a two-stage stochastic programming approach to take into account both and load uncertainties. The planning problem is formulated as AC flow (OPF) the objective of minimizing ESS installation cost system cost. Stochastic inputs are generated from historical data using clustering technique. tested on IEEE 39-bus system.