Distributed optimal voltage control strategy for AC grid with DC connection and offshore wind farms based on ADMM

Wang, Pengda; Wu, Qiuwei; Zhou, Bin; Li, Canbing

doi:10.1016/j.ijepes.2021.107802

Cited by 6 publications

(2 citation statements)

References 28 publications

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“…The voltage regulation strategy with model predictive control (MPC) has been generated to decrease the voltage fluctuations of the terminal buses inside the WF [1] . The voltage regulation strategy with MPC has been generated to maintain terminal bus voltage inside the WF collection system [2] . In [3], a coordinated active power control method for the WF combined with distributed energy storage systems has been proposed.…”

Section: Introductionmentioning

confidence: 99%

Optimal Voltage Control of Wind Farm with Distributed Energy Storage System

Wang

Shen

Shen³

et al. 2023

J. Phys.: Conf. Ser.

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This paper proposes an optimal voltage control method for a wind farm (WF) combined with distributed energy storage systems (DESSs), where the DESSs are connected to the DC sides of wind turbines (WTs). In the proposed control method, the WT units and DESSs can be coordinated to minimize the voltage fluctuation of terminal buses, minimize the distance between the voltage of terminal buses and rated value, and minimize power losses inside the WF collection system. The optimal control (OPC)-based voltage control model is formulated to generate optimal active/reactive power output of WTs and active power output of energy storage units in the WF with DESSs. The DESSs can store active power from WTs to support more capacity of the reactive power output of WTs. The control performance of the proposed voltage control method based on OPC is validated by conducting case studies on the WF with 32*5 MW WTs.

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Section: Introductionmentioning

confidence: 99%

Optimal Voltage Control of Wind Farm with Distributed Energy Storage System

Wang

Shen

Shen³

et al. 2023

J. Phys.: Conf. Ser.

Self Cite

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“…Nowadays, the shortage of traditional energy is increasing, and the demand for energy is increasing. With this problem, the proportion of photovoltaic units (PV) connected to the grid is increasing [1][2][3], and the mismatch of source and load will also affect the voltage of the distribution network. For example, it is easy to have reverse power transmission during the peak period of PV output, which leads to the voltage exceeding the upper limit.…”

Section: Introductionmentioning

confidence: 99%

Voltage Zoning Regulation Method of Distribution Network with High Proportion of Photovoltaic Considering Energy Storage Configuration

Zheng

Meng

et al. 2023

Sustainability

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Photovoltaics have uncertain characteristics. If a high proportion of photovoltaics are connected to the distribution network, the voltage will exceed the limit. In order to solve this problem, a voltage regulation method of a distribution network considering energy storage partition configuration is proposed. Taking the minimum total voltage deviation, the minimum total cost, the minimum total power loss, and the minimum energy storage device installation ratio as the objective function, and considering various conditions, such as voltage deviation constraint and energy storage constraint, a mathematical model of voltage regulation is established. Firstly, a high proportion of photovoltaics are connected to the distribution network, and the voltage deviation curve is obtained. The optimal k value is determined by the elbow rule. The voltage deviation curve of each node is clustered by the k-means algorithm so as to determine the energy storage device partition. The energy storage device is connected to various clustering centers, and then the weighting factor of each objective function is determined by the fuzzy comprehensive evaluation method. For comparison and analysis, (k + 1) schemes are determined through the partition configuration of (k + 1) energy storage devices. Then, the model is solved by particle swarm optimization, and the unit output result and the minimum objective function value are obtained. Finally, an example of IEEE33 is used to verify the effectiveness of the proposed model.

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