Synchrophasor based Controller Design for Frequency Stabilization of Interconnected Power System with Plug-In Electric Vehicles

Author(s):  
S. Dechanupaprittha ◽  
Y. Mitani
Energies ◽  
2021 ◽  
Vol 14 (8) ◽  
pp. 2288
Author(s):  
Zhenghao Wang ◽  
Yonghui Liu ◽  
Zihao Yang ◽  
Wanhao Yang

In recent years, wind power systems have been used extensively, which not only improve the efficiency of current conventional power generation systems, but also can save traditional fossil fuel resources. However, considering the instability of wind power, after being grid connected, it can easily cause an impact on the stability of the grid operation. Considering the above problems, this paper considers to make full use of the energy storage part of electric vehicles (EVs) to increase the stability of grid operation. Based on the mathematical model, this paper studies the load frequency control (LFC) problem of a multi-region interconnected power system with wind power and EVs. First, since the system states are difficult to be monitored, a state observer is designed to estimate the state. Based on this, the integral sliding mode controller (SMC) is designed to realize the LFC of the interconnected power system. Meanwhile, to obtain better control performance, this paper further analyzes and optimizes the controller parameters based on Lyapunov stability theory. At last, simulations are carried out for the power systems with two regions in Simulink. The results show that the designed controllers are effective to compensate the load demand disturbances. In addition, it is demonstrated that the battery storage of EVs can play the role of peak-shaving and valley-filling in LFC.


Author(s):  
Anand Kumar ◽  
Md Nishat Anwar ◽  
Shekhar Kumar

AbstractIn this paper, a Sliding mode controller design method for frequency regulation in an interconnected power system is presented. A sliding surface having four parameters has been selected for the load frequency control (LFC) system model. In order to achieve an optimal result, the parameter of the controller is obtained by grey wolf optimization (GWO) and particle swarm optimization (PSO) techniques. The objective function for optimization has been considered as the integral of square of error of deviation in frequency and tie-line power exchange. The method has been validated through simulation of a single area as well as a multi-area power system. The performance of the Sliding mode controller has also been analyzed for parametric variation and random loading patterns. The performance of the proposed method is better than recently reported methods. The performance of the proposed Sliding mode controller via GWO has 88.91% improvement in peak value of frequency deviation over the method of Anwar and Pan in case study 1 and similar improvement has been observed over different case studies taken from the literature.


2010 ◽  
Vol 5 (4) ◽  
pp. 428-438 ◽  
Author(s):  
Issarachai Ngamroo ◽  
Cuk Supriyadi Ali Nanda ◽  
Sanchai Dechanupaprittha ◽  
Masayuki Watanabe ◽  
Yasunori Mitani

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