scholarly journals A Wind Power and Load Prediction Based Frequency Control Approach for Wind-Diesel-Battery Hybrid Power System

2015 ◽  
Vol 2015 ◽  
pp. 1-7 ◽  
Author(s):  
Chao Peng ◽  
Zhenzhen Zhang ◽  
Jia Wu

A frequency control approach based on wind power and load power prediction information is proposed for wind-diesel-battery hybrid power system (WDBHPS). To maintain the frequency stability by wind power and diesel generation as much as possible, a fuzzy control theory based wind and diesel power control module is designed according to wind power and load prediction information. To compensate frequency fluctuation in real time and enhance system disturbance rejection ability, a battery energy storage system real-time control module is designed based on ADRC (active disturbance rejection control). The simulation experiment results demonstrate that the proposed approach has a better disturbance rejection ability and frequency control performance compared with the traditional droop control approach.

2011 ◽  
Vol 26 (2) ◽  
pp. 559-571 ◽  
Author(s):  
M Datta ◽  
T Senjyu ◽  
A Yona ◽  
T Funabashi ◽  
Chul-Hwan Kim

Author(s):  
Issarachai Ngamroo

In an isolated wind-diesel hybrid power system, the variable power consumptions as well as the intermittent wind power may cause a large fluctuation of system frequency. If the system frequency can not be controlled and kept in the acceptable range, the system may lose stability. To reduce system frequency fluctuation, a superconducting magnetic energy storage (SMES) which is able to supply and absorb active power quickly, can be applied. In addition, variation of system parameters, unpredictable power demands and fluctuating wind power etc., cause various uncertainties in the system. A SMES controller which is designed without considering such uncertainties may lose control effect. To enhance the robustness of SMES controller, this paper focuses on a new robust control design of SMES for frequency control in a wind-diesel system. The coprime factorization is used to represent the unstructured uncertainties in a system modeling. The structure of a SMES controller is the practical first-order lead-lag compensator. To tune the controller parameters, the optimization problem is formulated based on loop shaping technique. The genetic algorithm is applied to solve the problem and achieve the control parameters. Simulation results confirm the high robustness of the proposed SMES controller with small power capacity against various disturbances and system uncertainties in comparison with SMES in the previous research.


2014 ◽  
Vol 0 (1) ◽  
Author(s):  
Heri Suryoatmojo ◽  
Adi Kurniawan ◽  
Feby Agung Pamuji ◽  
Nursalim ST MT ◽  
IGP Suta Wijaya ◽  
...  

Energies ◽  
2017 ◽  
Vol 10 (1) ◽  
pp. 80 ◽  
Author(s):  
Mohammed Lotfy ◽  
Tomonobu Senjyu ◽  
Mohammed Farahat ◽  
Amal Abdel-Gawad ◽  
Atsuhi Yona

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