Intelligent current controller for an HVDC transmission link

Optimal coordinated control of hybrid AC/VSC-HVDC system integrated with DFIG via cooperative beetle antennae search algorithm

“…Besides, literature [22] designed a highgain and low-frequency controller for inverter side connected to weak AC system based on H 1 control theory, which shows high robustness to uncertain AC system parameters and operation conditions. Besides, PI controller and NN controller based linearized HVDC systems are reported [23], which demonstrates that NN controller is superior to PI controller in terms of damping and robustness. Furthermore, a new interactive teaching-learning optimizer (ITLO) for VSC-HVDC systems with integration of offshore wind farm was designed, which can dramatically enhance controlling performance at different operating scenarios via optimal tuning of parameters of eight interactive PI loops [24].…”

Operation and control of HVDC stations using continuous mixedp‐norm‐based adaptive fuzzy technique

“…The input and output membership functions can be obtained from the following equations. (12) where g(k) is the grade of membership value, w d is the width, h is the coordinate of the point at which the grade of membership is maximum, i.e. 1, and k is the value of the input/output variable.…”

“…The sliding modebased control is implemented in [9] to adjust the control law for multi-terminal HVDC transmission. In [10][11][12], fuzzy logic and neural network-based intelligent controllers are applied to the control of HVDC converter stations. A non-linear optimisation algorithm determines the candidate values for HVDC converters to examine system performance in dynamic and transient conditions which is reported in [13].…”

“…Though a lot of robust controllers are developed for HVDC transmission, the power flow dynamics and operations under grid fault conditions were successfully demonstrated in [5-11, 13-23, 25, 26]. Only in [12,24,27], it was shown that the adaptive controllers can deal with power system parameter uncertainties as discussed earlier, however, this issue requires more rigorous analysis and further development in HVDC controllers. This study attempts to develop a continuous mixed p-norm (CMPN) algorithm-based adaptive filtering technique to automatically update the fuzzy inference system which can deal with different types of power system uncertainties.…”

Design of a New Nonlinear Fuzzy State Feedback Controller for HVDC Systems

“…The paper describes the derivation and validation of a coordinated controller employing on-line identification of the AC/DC system. Fuzzy-logic-based tuning of the controller parameters for the rectifier side current regulator, and inverter side gamma controller in a HVDC system is introduced in [7][8][9]. In these, error signals and their derivatives are used as inputs to the fuzzy system, and give optimum system performance under various normal and abnormal conditions.…”