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Optimization of Control Parameters to Enhance Stability and Dynamic Performance of LCC-HVDC under Weak AC Condition |
Guo Chunyi, Lü Naihang, Zhang Jiaqing |
State Key Laboratory for Alternate Electrical Power System with Renewable Energy Sources North China Electric Power University Beijing 102206 China |
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Abstract Small signal instability and dynamic performance deterioration may occur when LCC-HVDC system is connected to weak AC system at the inverter side. It is necessary to pay attention to the stability and dynamic performance of the system at the same time. However, the objective function used in the existing optimization methods for control parameters can only describe the stability or dynamic performance of the system.To solve this problem, this paper proposed an LCC-HVDC control parameters optimization method using the energy reduction index which can simultaneously measure the system stability and dynamic performance as the objective function. Firstly, the small signal model of LCC-HVDC system is established. On this basis, the dominant mode affecting the system stability under the weak AC system conditions is identified by the root locus analysis. Also, the control parameters sensitivity of the dominant mode is calculated, and the key control parameters with higher sensitivity are selected as the optimized parameters. Then, the energy reduction index ηmin is derived as the objective function of control parameter optimization, whose physical meaning is the minimum reduction rate of system energy in the state space. The larger ηmin is, the better stability and dynamic performance the system has. Therefore, the objective of optimization is to obtain the combination of control parameters in which case ηmin is maximized. The range of control parameters with a relatively large ηmin value is selected as the optimization feasible region, and the parameters in the feasible region can meet the basic requirements of stability and dynamic performance of the system under different power transmission operating points. Subsequently, the Monte Carlo algorithm is adopted to optimize the key control parameters. The combinations of random numbers are used as the values of the optimized control parameters, and the corresponding energy reduction index values are calculated. New random number combinations are generated continuously until the amount of random number combinations in the feasible region reaches a set value. In this process, the random number combination that maximizes the index in the feasible region is recorded as the final optimized control parameters. The following conclusions can be drawn from the theoretical analysis and simulation results: (1) The proportional coefficients of the phase locked loop and constant DC current/voltage controllers have relatively great influence on the stability of LCC-HVDC system under the weak AC grid conditions. (2) The optimized control parameters can significantly improve the small-signal stability and dynamic performance of LCC-HVDC system connected to weak AC grid, and the optimization results are suitable for different transmission power conditions. Meanwhile, the commutation failure recovery ability of the system with optimized control parameters is also improved to some extent, thereby verifying the effectiveness of the proposed optimization method.
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Received: 25 November 2021
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