PI Parameters Optimization Based on Improved Whales Optimization Algorithm for Hybrid High Voltage Direct Current System

doi:10.3969/j.issn.1000-7229.2019.04.004

Abstract

Abstract: The hybrid high-voltage direct current （Hybrid HVDC） transmission system combines the advantages of LCC and VSC which has a wide range of application prospects. In order to solve the optimization problem of control parameters for hybrid HVDC transmission system， a new meta-heuristic algorithm， named whale optimization algorithm， is introduced. Aiming at the problem of poor exploration， the hybrid optimization theory is introduced， using simulated annealing and tournament selection mechanism to effectively balance the exploration and exploitation， and reduce the reliance on parameter selection. In this paper， a bipolar hybrid DC transmission test system is taken as the research object. The improved whale algorithm is used to optimize the PI parameters for constant current control and d-q axes double loop controller in rectifier and inverter， respectively. Those were achieved by combined simulation in MATLAB and PSCAD. The results show that， compared with the native WOA and particle swarm optimization algorithm， the proposed algorithm has higher convergence accuracy to realizes the parameter optimization and improve the tracking ability effectively.

Key words: hybrid HVDC , transmission, whale optimization algorithm, parameters optimization, simulated annealing, hybrid optimization, combined simulation

CLC Number:

TM 743

LIU Qipu， TANG Xiaochen， YANG Jia， SUN Guoqiang， WEI Zhinong. PI Parameters Optimization Based on Improved Whales Optimization Algorithm for Hybrid High Voltage Direct Current System[J]. Electric Power Construction, 2019, 40(4): 26-33.

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