An integrated control method for a wind farm to reduce frequency deviations in a small power system
- 1. University of the Ryukyus, 1 Senbaru, Nishihara-cho, Nakagami, Okinawa 903-0213 (Japan)
Description
Output power of wind turbine generator (WTG) is not constant and fluctuates due to wind speed changes. To reduce the adverse effects of the power system introducing WTGs, there are several published reports on output power control of WTGs detailing various researches based on pitch angle control, variable speed wind turbines, energy storage systems, and so on. In this context, this paper presents an integrated control method for a WF to reduce frequency deviations in a small power system. In this study, the WF achieves the frequency control with two control schemes: load estimation and short-term ahead wind speed prediction. For load estimation in the small power system, a minimal-order observer is used as disturbance observer. The estimated load is utilized to determine the output power command of the WF. To regulate the output power command of the WF according to wind speed changing, short-term ahead wind speed is predicted by using least-squares method. The predicted wind speed adjusts the output power command of the WF as a multiplying factor with fuzzy reasoning. By means of the proposed method, the WF can operate according to the wind and load conditions. In the WF system, each output power of the WTGs is controlled by regulating each pitch angle. For increasing acquisition power of the WF, a dispatch control method also is proposed. In the pitch angle control system of each WTG, generalized predictive control (GPC) is applied to enhance the control performance. Effectiveness of the proposed method is verified by the numerical simulations.
Availability note (English)
Available from http://dx.doi.org/10.1016/j.apenergy.2010.09.024Additional details
Identifiers
- DOI
- 10.1016/j.apenergy.2010.09.024;
- PII
- S0306-2619(10)00389-2;
Publishing Information
- Journal Title
- Applied Energy
- Journal Volume
- 88
- Journal Issue
- 4
- Journal Page Range
- p. 1049-1058
- ISSN
- 0306-2619
- CODEN
- APENDX
INIS
- Country of Publication
- United Kingdom
- Country of Input or Organization
- International Atomic Energy Agency (IAEA)
- INIS RN
- 44113506
- Subject category
- S17: WIND ENERGY;
- Descriptors DEI
- COMPUTERIZED SIMULATION; CONTROL SYSTEMS; ENERGY STORAGE SYSTEMS; FREQUENCY CONTROL; FUZZY LOGIC; INCLINATION; LEAST SQUARE FIT; POWER SYSTEMS; VELOCITY; WIND TURBINE ARRAYS; WIND TURBINES
- Descriptors DEC
- CONTROL; ENERGY SYSTEMS; EQUIPMENT; MACHINERY; MATHEMATICAL LOGIC; MATHEMATICAL SOLUTIONS; MAXIMUM-LIKELIHOOD FIT; NUMERICAL SOLUTION; SIMULATION; TURBINES; TURBOMACHINERY
Optional Information
- Copyright
- Copyright (c) 2010 Elsevier Science B.V., Amsterdam, The Netherlands, All rights reserved.