Optimal Control of Wind Power Generation

• Autorzy: Pijarski Paweł , Wydra Michał , Kacejko Piotr

Identyfikatory

DOI

10.12913/22998624/81448

• Języki publikacji: EN

Abstrakty

EN

Power system control is a complex task, which is strongly related to the number and kind of generating units as well as to the applied technologies, such as conventional coal fired power plants or wind and photovoltaic farms. Fast development of wind generation that is considered as unstable generation sets new strong requirements concerning remote control and data hubs cooperating with SCADA systems. Considering specific nature of the wind power generation, the authors analyze the problem of optimal control for wind power generation in farms located over a selected remote-controlled part of the Operator grid under advantageous wind conditions. This article presents an original stepwise method for tracing power flows that makes possible to eliminate current (power) overloading of power grid branches. Its core idea is to consider the discussed problem as an optimization task.

Słowa kluczowe

EN

optimization; estimation; wind farms; SCADA; power generation reduction; overloading

PL

optymalizacja; szacowanie; farmy wiatrowe; SCADA; redukcja wytwarzania energii; przeciążenie

• Wydawca: Lublin University of Technology ; Polish Society of Ecological Engineering (PTIE), Branch of PTIE in Lublin
• Czasopismo: Advances in Science and Technology. Research Journal
• Rocznik: 2018
• Tom: Vol. 12, no 1
• Strony: 9--18
• Opis fizyczny: Bibliogr. 10 poz., fig., tab.

Twórcy

autor

Pijarski Paweł

• Lublin University of Technology, Nadbystrzycka 38A, 20-618 Lublin, Poland

autor

Wydra Michał

• Lublin University of Technology, Nadbystrzycka 38A, 20-618 Lublin, Poland

autor

Kacejko Piotr

• Lublin University of Technology, Nadbystrzycka 38A, 20-618 Lublin, Poland

Bibliografia

• 1. Abur A., Exposito A., Power System State Estimation. Theory and Implementation, Marcel Dekker, 2004.
• 2. Białek J.W., Tracing the flow of electricity, IEE Proc.–Gener. Transm. Distrib., July 1996, Vol. 143, 313–320.
• 3. Bose A., Clements K., Real-Time Modeling of Power Networks, IEEE Transactions on Power Systems. Vol. 75, No. 12, December 1987, 1607–1622.
• 4. Castillo E., Conejo A., Pruneda R., Observability Analysis in State Estimation – A Unified Numerical Approach, IEEE Transactions on Power Systems Vol. 21, No. 2, May 2006.
• 5. Crow M. L., Computational Methods for Electric Power Systems, CRC Press Taylor & Francis Group, Boca Raton, FL, 2010, pp. 223.
• 6. Kacejko P., Wydra M, Rzepecki A., Pijarski P., Jędrychowksi R., Adamek S., Miller P., Wancerz M., A system of optimal wind farm power control in the conditions of limited transmission capacity of a power network system. Final report from research project N R01 0021 06 funded by National Centre for Research and Development.
• 7. Kacejko P., Wydra M., Jedrychowski R., Optimal control of wind farm group using the WindEx system and external computing modules, Zeszyty Naukowe Wydziału Elektrotechniki i Automatyki Politechniki Gdańskiej, APE’13, Gdańsk 2013.
• 8. Monticelli A., Electric Power system State Estimation, IEEE Transactions on Power Systems. Vol. 88, NO. 2, February 2000, 262–282.
• 9. Pijarski P., Dynamic Fitting of Generation Level to Transmission Capacity of Overhead Lines, doctoral thesis, Lublin University of Technology 2011.
• 10. Ziemianek S., Mathematical models of transmission loss allocation by active and reactive power flow tracing methods, Warsaw University of Technology, Prace Naukowe Elektryka, Vol. 127, Oficyna Wydawnicza Politechniki Warszawskiej, Warsaw 2003.

Uwagi

PL

Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2018).