Model predictive control-based optimal voltage regulation of active distribution networks with OLTC and reactive power capability of PV inverters

With the increasing penetration of distributed photovoltaics (PVs) in active distribution networks (ADNs), the risk of voltage violations caused by PV uncertainties is significantly exacerbated. Since the conventional voltage regulation strategy is limited by its discrete devices and delay, ADN operators allow PVs to participate in voltage optimization by controlling their power outputs and cooperating with traditional regulation devices. This paper proposes a decoupling rolling multi-period reactive power and voltage optimization strategy considering the strong time coupling between different devices. The mixed-integer voltage optimization model is first decomposed into a long-period master problem for on-load tap changer (OLTC) and multiple short-period subproblems for PV power by Benders decomposition algorithm. Then, based on the high-precision PV and load forecasts, the model predictive control (MPC) method is utilized to modify the independent subproblems into a series of subproblems that roll with the time window, achieving a smooth transition from the current state to the ideal state. The estimated voltage variation in the prediction horizon of MPC is calculated by a simplified discrete equation for OLTC tap and a linearized sensitivity matrix between power and voltage for fast computation. The feasibility of the proposed optimization strategy is demonstrated by performing simulations on a distribution test system.

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Distributed voltage regulation of smart distribution networks: Consensus-based information synchronization and distributed model predictive control scheme

International Journal of Electrical Power & Energy Systems ◽

10.1016/j.ijepes.2019.03.059 ◽

2019 ◽

Vol 111 ◽

pp. 58-65 ◽

Cited By ~ 3

Author(s):

Yifei Guo ◽

Qiuwei Wu ◽

Houlei Gao ◽

Feifan Shen

Keyword(s):

Model Predictive Control ◽

Predictive Control ◽

Distribution Networks ◽

Voltage Regulation ◽

Distributed Model ◽

Distributed Model Predictive Control ◽

Control Scheme

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Coordinated Voltage Regulation Methods in Active Distribution Networks with Soft Open Points

Sustainability ◽

10.3390/su12229453 ◽

2020 ◽

Vol 12 (22) ◽

pp. 9453

Author(s):

Ruonan Hu ◽

Wei Wang ◽

Zhe Chen ◽

Xuezhi Wu ◽

Long Jing ◽

...

Keyword(s):

Reactive Power ◽

Distribution Networks ◽

Voltage Regulation ◽

Droop Control ◽

Voltage Fluctuations ◽

The Third ◽

Active And Reactive Power ◽

Third Stage ◽

Regulation Method ◽

Active Distribution Networks

This paper proposes a coordinated voltage regulation method for active distribution networks (ADNs) to mitigate nodal voltage fluctuations caused by photovoltaic (PV) power fluctuations, where a three-stage optimization scheme is developed to coordinate and optimize the tap position of on-load tap changers (OLTCs), the reactive power of capacitor banks (CBs), and the active and reactive power of soft open points (SOPs). The first stage aims to schedule the OLTC and CBs hourly using the rolling optimization algorithm. In the second stage, a multi-objective optimization model of SOPs is established to periodically (15 min) optimize the active and reactive power of each SOP. Meanwhile, this model is also responsible for optimizing the Q-V droop control parameters of each SOP used in the third stage. The aim of the third stage is to suppress real-time (1 min) voltage fluctuations caused by rapid changes in PV power, where the Q-V droop control is developed to regulate the actual reactive power of SOPs automatically, according to the measured voltage at the SOPs’ connection points. Furthermore, numerous simulations and comparisons are carried out on a modified IEEE 33-bus distribution network to verify the effectiveness and correctness of the proposed voltage regulation method.

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