Abstract
Soft open point (SOP) can improve the flexibility and reliability of power supplies; thus, they are widely used in distribution network systems. Traditional single-vector model predictive control (SV-MPC) can quickly and flexibly control the power and current at both ports of the SOP. However, SV-MPC can only select one voltage vector in a sampling time, producing large current ripples, and power fluctuations. In order to solve the above problems, this paper proposes a three-vector-based low complexity model predictive control (TV-MPC). In the proposed control method, two effective voltage vectors and one zero voltage vector are selected in a sampling time. For the two-port SOP, methods are given to judge the sectors on both sides and select the voltage vectors. Furthermore, the calculation method of the distribution time is proposed as well. Finally, the effectiveness of the proposed method is verified by steady-state and dynamic-state simulation results compared with the SV-MPC.
Highlights
E two-port soft open point (SOP) can be regarded as an AC/DC/AC converter composed of voltage source converters (VSCs) [6]. e power exchange at both ports can be realized through corresponding control
According to different control purposes, Model predictive control (MPC) can be divided into model predictive current control (MPCC) and model predictive power control (MPPC)
The single-vector MPC has only one voltage vector involved in the control during a sampling time, and large current ripples and power fluctuations will be generated, resulting in unsatisfactory control effects. erefore, how to improve power quality and reduce power fluctuations needs to be considered when MPC is used in converters
Summary
More and more renewable energy sources such as solar energy and wind energy as well as new energy vehicles loads have been connected to the distribution network, which has had a serious impact on the stable and safe operation of the distribution network [1, 2]. erefore, soft open point (SOP) is used more frequently in distribution networks due to their advantages to flexibly connect feeders of different voltage levels, improve the reliability of power supply, and continuously adjust power [3,4,5]. In [24], the adaptive error correction strategy is applied to both the outer and inner prediction loops from the perspective of model errors, reducing the impact of errors caused by time delay, sampling error, and parameter mismatch on the control performance and effectively improving the output power quality compared to the traditional FCS-MPC. Both sides of the traditional MPC strategy for the SOP only consider a single switch state control within a sampling time, which results in large current ripples and power fluctuations in the steady state.
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