An Improved ADMM-Based Distributed Optimal Operation Model of AC/DC Hybrid Distribution Network Considering Wind Power Uncertainties

Gao, Hongjun; Wang, Jiayi; Liu, Youbo; Wang, Lingfeng

doi:10.1109/jsyst.2020.2994336

Cited by 18 publications

(6 citation statements)

References 29 publications

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“…Gao et al put forward a flexible and reliable construction scheme of active transmission network. In this scheme, AC/ DC hybrid connection, plug and play, high power quality construction, flexible DC loop closure, and other technologies are adopted to build a flexible and reliable active transmission network, and the comprehensive utilization of energy in Suzhou is realized through the coordinated optimal dispatch of source, load, and storage [9]. Li et al proposed a flexible DC interconnection scheme for multimicrogrids and established an optimization model with the aim of minimizing the fluctuation of bus voltage in microgrids and the loss of the system.…”

Section: Related Workmentioning

confidence: 99%

Two-Stage Research on AC/DC Hybrid High-Voltage Distribution Network Based on Network Reconfiguration and SOP Coordinated Control

et al. 2022

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DC power grid has the advantages of large power supply capacity, easy access to clean energy, low loss, and easy power control. With the increasing penetration rate of distributed generation and DC load in low-voltage transmission network, the traditional radial AC distribution form develops into AC-DC hybrid form. Large-scale distributed energy access is an important feature of future distribution system. Aiming at the AC-DC hybrid distribution system with soft tie-in switch and voltage source converter, considering the network congestion caused by large-scale access of distributed energy, a two-stage congestion management mechanism is proposed. This strategy solves the congestion problem of AC/DC hybrid transmission network with the help of the power flow control ability of AC/DC transmission network’s own optimization control means and congestion management services provided by distributed energy sources. According to the experiment, the total distributed generation power of DC link is 15 MW, and the load power is 10 MW, that is, the remaining power of DC link is 5 MW, the total distributed generation power of AC link is 8 MW, and the load power is 15 MW, that is, the power shortage of AC link is 7 MW. In the first stage, the tie-in switch, SOP and VSC are coordinated and optimized, and in the second stage, the flexible adjustment ability provided by distributed energy makes up for the deficiency of the adjustment ability of direct control means in some periods of severe congestion and meets the requirements of congestion management of AC-DC hybrid transmission network under high-permeability distributed generation.

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Section: Related Workmentioning

confidence: 99%

Two-Stage Research on AC/DC Hybrid High-Voltage Distribution Network Based on Network Reconfiguration and SOP Coordinated Control

et al. 2022

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“…This approach not only ensures the reliable operation of wind turbine generators but also enhances the overall efficiency and safety of the power grid. This method contributes to the achievement of carbon neutrality goals [4].…”

Section: Introductionmentioning

confidence: 99%

Voltage Control Strategy for Large-Scale Wind Farm with Rapid Wind Speed Fluctuation

Cai,

Yang,

Liu

et al. 2024

Energies

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In large-scale wind farms, the voltage fluctuations caused by the uncertainty of wind speed at the turbine terminals pose a pressing challenge. This article presents a localized voltage control strategy tailored toward rapid adjustments in turbine terminal voltage in wind turbine generators. Based on relative voltage observation, this strategy achieves voltage coordination between the high and low ends of the transformer in wind turbine generators. Firstly, the overall structure of the wind farm and the characteristics of terminal voltage are analyzed. Secondly, the principles and feasibility of the relative voltage control strategy are examined. Finally, the effectiveness of the proposed control strategy is validated through simulation results from a specific wind farm. The results demonstrate its capability to achieve a fast and stable voltage dynamic response within the wind farm based on local information, thus mitigating the risk of voltage out of limit.

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“…In contrast, robust programming considers the uncertainties to be from various sets, such as box, cone, or ellipsoid sets, without assuming the probability distribution functions. A twostage distributed robust optimization model for optimal operation is formulated considering wind-power-uncertaintybased data-driven methods, where the polyhedra-based linearization method is introduced to approximate the secondorder cone power flow constraints with a series of linear constraints (Gao et al, 2021). To improve the computational performance, a second-order cone relaxation and decomposition algorithm is proposed to solve the multi-period reactive power optimization problem (Liu et al, 2017).…”

Section: Introductionmentioning

confidence: 99%

A data-driven hybrid interval reactive power optimization based on the security limits method and improved particle swarm optimization

Chen

Liu

et al. 2023

Front. Energy Res.

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The integration of renewable power generation introduces randomness and uncertainties in power systems, and the reactive power optimization with interval uncertainty (RPOIU) problem has been constructed to acquire the voltage control strategy. However, the large amount of uncertain data and the coexistence of discrete and continuous control variables increase the difficulty of solving the RPOIU problem. This paper proposes a data-driven hybrid interval reactive power optimization based on the security limits method (SLM) and the improved particle swarm optimization (IPSO) to solve the RPOIU problem. In this method, the large amount of historical uncertain data is processed by data-driven to obtain the boundary of optimal uncertainty set. The control variable optimization is decomposed into continuous variable optimization and discrete variable optimization. The continuous variables are optimized by applying the SLM with the discrete variables fixed, and the discrete variables are optimized by the IPSO with the continuous variables fixed. The two processes are applied alternately, and the values of the control variables obtained by each method are used as the fixed variables of the other method. Based on simulations carried out for the IEEE 30-bus system with three optimization methods, we verified that the voltage control strategy obtained by the data-driven hybrid optimization could ensure that the state variable intervals satisfied the constraints. Meanwhile, the values of the real power losses obtained by the proposed method were smaller than those obtained by the SLM and IPSO. The simulation results demonstrated the effectiveness and value of the proposed method.

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An Improved ADMM-Based Distributed Optimal Operation Model of AC/DC Hybrid Distribution Network Considering Wind Power Uncertainties

Cited by 18 publications

References 29 publications

Two-Stage Research on AC/DC Hybrid High-Voltage Distribution Network Based on Network Reconfiguration and SOP Coordinated Control

Two-Stage Research on AC/DC Hybrid High-Voltage Distribution Network Based on Network Reconfiguration and SOP Coordinated Control

Voltage Control Strategy for Large-Scale Wind Farm with Rapid Wind Speed Fluctuation

A data-driven hybrid interval reactive power optimization based on the security limits method and improved particle swarm optimization

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