scholarly journals Bi-Level Model Predictive Control for Optimal Coordination of Multi-Area Automatic Generation Control Units under Wind Power Integration

Processes ◽  
2019 ◽  
Vol 7 (10) ◽  
pp. 669
Author(s):  
Xia ◽  
Liu

With the high degree of wind power penetration integrated into multi-area AC/DC interconnected power grids, the frequency regulation capacity of automatic generation control (AGC) units is not sufficient in the wind power-penetrated area, making it difficult to effectively suppress the frequency stability caused by the fluctuation of wind power. Therefore, a coordinated control strategy for AGC units across areas based on bi-level model predictive control is proposed in this paper to achieve resource sharing. The control scheme uses economic model predictive control to realize steady power optimal allocation of the AGC units across areas in the upper layer and distributed model predictive control to realize dynamic frequency optimization control of the multi-area AGC units in the lower layer. Taking a three-area AC/DC interconnected power grid with a wind farm as an example, the simulation results show that, compared with model predictive control using tie-line frequency bias control (TBC) mode, the proposed control strategy can not only effectively maintain tie-line safety and frequency stability, but can also reduce the regulation cost of multi-area AGC units.

2013 ◽  
Vol 860-863 ◽  
pp. 2017-2022
Author(s):  
Yi Xuan Weng ◽  
Chang Hong Deng ◽  
Lei Chen

As the continuous increase of wind power installed capacity in modern grid, its inherent randomness and fluctuation may cause a series of problems to power system frequency control. Since the dynamic characteristics of traditional automatic generation control (AGC) based on PI control cannot fully and effectively meet the interconnected power grids requirements for load frequency control. In this paper, a strategy based optimal control theory is proposed, and a new dynamic cost function is also presented. Compared to the conventional PI control method, the proposed strategy has better dynamic adaptability to interconnected power system with wind generation, and the optimal coordination among control areas can be realized more easily. Take the two-area interconnected power system with wind power model as an example, the simulation is carried out based on MATLAB/SIMULINK. The simulation results show that the control strategy can obviously suppress the fluctuation of system frequency and tie-line power, and its effectiveness is confirmed.


2014 ◽  
Vol 2014 (10) ◽  
pp. 538-545 ◽  
Author(s):  
Abdul Basit ◽  
Anca Daniela Hansen ◽  
Mufit Altin ◽  
Poul Sørensen ◽  
Mette Gamst

2018 ◽  
Vol 7 (3) ◽  
pp. 1446
Author(s):  
Ahmed Jasim Sultan ◽  
Falah Noori Saeed

In This research PIDF (Proportional Integral Derivative with Filter) is suggested to control the ACE (area control error) signal of automatic generation control circuit (AGC) for two-area multi units system under deregulated conditions, each area consist of two thermal reheat units with physical GRC (generating rate constrain). The parameters of the PIDF controller are tuned using PSO (particle swarm optimization) technique. To improve the system performance, Redox Flow Batteries (RFB) is presented in one area and one of FACTS components IPFC (Inter Line Power Flow Controller) is installed in tie line. The performance of the proposed controller is assessed under different working conditions of deregulated power market. Finally, a comparison will be made on the system response when testing with varying the load conditions and system parameter through MATLAB environment 2015Rb.  


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