Projects / Programmes
| Code |
Science |
Field |
Subfield |
| 2.03.00 |
Engineering sciences and technologies |
Energy engineering |
|
| Code |
Science |
Field |
| T140 |
Technological sciences |
Energy research |
| T190 |
Technological sciences |
Electrical engineering |
| T125 |
Technological sciences |
Automation, robotics, control engineering |
Power engineering, power system security, voltage stability, supply reliability, distributed generation, renewable energy sources, electricity market, ancillary services, power system operation planning, power system control, protection systems, on-line transformer monitoring, partial discharges, load diagrams, energy efficiency.
Researchers (19)
Organisations (1)
Abstract
Energy markets within the power industry deregulation pushed operation of electric power systems (EPS) towards the limits, which may result in stability problems an in degradation of electric energy supply quality.
The voltage stability problems are highly nonlinear phenomena with no elegant solution. Power system control needs adequate methods not only for load management, frequency and voltage regulation but also for improving the voltage stability. Improved tools for security margins estimation are needed along with the assessment of adequate measures. The laboratory group focused its research activity on the simple methods of voltage stability assessment utilizing local measurements, decentralized secondary voltage control and power system security with an original approach.
Demand side management is one of important points in control of disturbances and cost minimization within the power system states. It relies on load reduction and voltage control at the consumers. The research group pursues an approach to load control via voltage regulation by under load tap changers using neural networks. A wide program of measurements in the distribution network is currently under way.
Liberalisation of electricity market brought a need to developed several different methods and tools necessary for its efficient monitoring. Due to many uncertainties specific for this market new methods and tools for decision support system and optimal bidding strategy selection are needed. Tools founded on uncertainties must be developed for efficient risk management on electricity market. Players on electricity market are forced to forecast certain stochastic phenomena, such as electricity prices, electricity demand, reservoir inflow, etc., that have significant impact on their financial performance. Field of expertise encompass also the development of tools for optimal power production management.
Procedures of fast estimation of a transformer state after a fault are developed. They are planned to evolve into an expert system.
Minimum cost operation of hydro- thermal power systems requires adequate models for fast estimation of bidding strategy in the energy market taking into account the market participants behavior. The group is developing an efficient model of hydro power plant scheduling based on artificial neural networks and combined methods of evolution and classical optimization. The models for power system optimization could be used within the integrated power system planing, which is lacking efficient methods. Stochastic nature of loads and unpredictability of energy market have to be observed in the model. The research group develops the models and algorithms for integrated power system operation planning under uncertainties.
