A Novel Virtual Inertial Control Strategy for Double-Stage PV Generation

Author(s):  
Gangui Yan ◽  
Xuelian Zhang ◽  
Shanfeng Zhang ◽  
Huibiao Yang
2021 ◽  
Author(s):  
Chenguang Wang ◽  
Chongtao Li ◽  
Kehan Zeng ◽  
Yiping Chen ◽  
Liang Xiao ◽  
...  

2020 ◽  
Vol 24 (5) ◽  
pp. 173-183
Author(s):  
Han Min Htut ◽  
Wijarn Wangdee

This paper proposes the inverter control strategy for multiple solar PV generation sources based on the two-stage converters with a combination of the modified virtual oscillator control (VOC) and the cascaded sliding mode control (SMC). With this proposed control strategy, the load power-sharing in proportion to the inverter rating is guaranteed when the solar PV output satisfies the power-sharing requirement. On the other hand, the control algorithm autonomously forces the solar PV to operate at the maximum power point if the solar PV output is lower than the power-sharing requirement. Various operating scenarios have been simulated to appreciate the effectiveness of the proposed control scheme for ensuring the load-power sharing and maintaining the voltage and frequency stability of the islanded microgrid containing a 100% solar PV generation.


2016 ◽  
Vol 17 (2) ◽  
pp. 169-184
Author(s):  
Reza Noroozian ◽  
G. B. Gharehpetian

In this paper, the configuration of the PV generation system, the dynamic model for PV modules and its power electronic interfacing have been presented. A novel control strategy for the DC-DC converter has been developed in order to extract the maximum amount of power from the PV array. Also, a novel control strategy, which is based on d-q rotating reference frame, has been proposed for the DC-AC converter. The simulation results, based on PSCAD/EMTDC, show that the novel control scheme can transfer the DC energy from PV array, compensate the power factor of AC grid and improve the dynamic behavior of grid-connected PV system.


2019 ◽  
Vol 11 (15) ◽  
pp. 4241
Author(s):  
Mudan Li ◽  
Yinsong Wang

The traditional additional inertial control (T-AIC) strategy can provide frequency support for the directly-driven wind turbine with a permanent magnet synchronous generator (D-PMSG). However, due to the fixed control coefficients, the frequency modulation effect is poor under load and wind speed disturbances. In order to improve the frequency transient response of D-PMSG, a fuzzy adaptive additional inertial control strategy (FA-AIC) is proposed in this paper. A simplified D-PMSG model is established for the complexity and low calculation speed. A single-machine grid-connected system composed of a D-PMSG and an equivalent synchronous generator set (ESGS) is taken as the background and analysis of the principle of T-AIC. The proportional and derivative coefficient initial values in T-AIC are tuned by simulating the static characteristics and inertial response characteristics of the conventional synchronous generator set, and fuzzy control technology is introduced to adjust the proportional and derivative coefficients adaptively based on the frequency deviation and the frequency deviation change rate under load or wind speed disturbances. The simulation verification indicates that T-AIC, kinetic energy (KE)-based gain-AIC and FA-AIC all can utilize the D-PMSG additional inertial response to provide frequency support for grid-connected systems. Compared with T-AIC and KE-based gain-AIC, the proposed FA-AIC can not only provide more effective frequency support during load disturbances, but also suppress the frequency fluctuation caused by the wind speed variation and displays a better dynamic frequency regulation effect.


2015 ◽  
Vol 2015 ◽  
pp. 1-13 ◽  
Author(s):  
Guo Zhao ◽  
Xueliang Huang ◽  
Hao Qiang

Recently, the coordination of EVs’ charging and renewable energy has become a hot research all around the globe. Considering the requirements of EV owner and the influence of the PV output fluctuation on the power grid, a three-objective optimization model was established by controlling the EVs charging power during charging process. By integrating the meshing method into differential evolution cellular (DECell) genetic algorithm, an improved differential evolution cellular (IDECell) genetic algorithm was presented to solve the multiobjective optimization model. Compared to the NSGA-II and DECell, the IDECell algorithm showed better performance in the convergence and uniform distribution. Furthermore, the IDECell algorithm was applied to obtain the Pareto front of nondominated solutions. Followed by the normalized sorting of the nondominated solutions, the optimal solution was chosen to arrive at the optimized coordinated control strategy of PV generation and EVs charging. Compared to typical charging pattern, the optimized charging pattern could reduce the fluctuations of PV generation output power, satisfy the demand of EVs charging quantity, and save the total charging cost.


2020 ◽  
Author(s):  
Gabriel M. Coco ◽  
Lucas G. Scherer ◽  
Felipe B. Grigoletto ◽  
Robinson F. de Camargo

In distribution power generation, hybrid systems play an important role, mainly due its flexibility and reliability. This paper deals with the development of a control strategy for hybrid hydro-PV generation system employing a three-phase three-legs Split-Source Inverter (SSI) like a distribution synchronous static compensator (DSTATCOM). The SSI has the ability to feed ac loads with a boost characteristic. In addition, the proposed control strategy ensures regulation for balanced output ac voltages and load disturbance compensation of self excited induction generator (SEIG) based systems, providing the required active and reactive power. The modeling of the system and the design of the resonant controller are presented in detail. In addition, simulation results are presented to demonstrate the performance of the proposed control strategy.


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