Robust Decentralized Coordination of Transmission and Active Distribution Networks

Li, Peng; Yang, Ming; Tang, Yaohua; Yu, Yixiao; Li, Menglin

doi:10.1109/tia.2021.3057342

Cited by 17 publications

(3 citation statements)

References 30 publications

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“…Over the last decade, the development of PV sector technology has rapidly increased worldwide [2]. However, the penetration of PV resources has caused various challenges in the performance of low-voltage distribution networks, one of which is the voltage violation issue due to the mismatch between loads and solar PV generation [3]. Moreover, uncertainties associated with the intermittent nature of PVs lead to additional challenges in balancing the power and voltage profiles of the system [4].…”

Section: Introductionmentioning

confidence: 99%

ADMM-Based Multi-Objective Control Scheme for Mitigating the Impact of High Penetration DER Integration in the Modern Distribution Systems

et al. 2023

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The high penetration of renewable energy sources in modern distribution networks poses challenges for grid voltage regulation. In this study, a multi-agent distributed voltage control strategy based on the proximal Jacobian alternating direction method of multipliers (PJ-ADMM) is proposed for distribution power systems with a high penetration of photovoltaic (PV) resources coordinated with battery energy storage systems (BESS). In this context, all active and reactive power outputs of the PV are locally optimized through smart inverters to improve the grid voltage with minimum power loss. Uncertainties associated with the solar energy generation and load demands are considered in the defined scenarios. This study consists of two phases. In the first phase, the voltage control problem is formulated as an optimization problem to regulate the voltages within an acceptable limit with fast convergence. In the second phase, a coordinated voltage control strategy for smart PV inverters and BESS is proposed to allocate the power capacity of the battery energy storage systems and the active power loss reduction. Finally, the proposed method is tested on modified IEEE 13-bus, 33-bus and 141-bus distribution systems using MATLAB/Simulink and MATPOWER. A comparison of the results of the voltage profiles with and without the control algorithm demonstrated the efficacy, robustness, and scalability of the distributed scheme for voltage improvement and optimal utilization of PV power under different scenarios.

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Section: Introductionmentioning

confidence: 99%

ADMM-Based Multi-Objective Control Scheme for Mitigating the Impact of High Penetration DER Integration in the Modern Distribution Systems

et al. 2023

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“…Nowadays, due to environmental issues and lack of sufficient resources, more renewable energy generation systems such as wind power and photovoltaic (PV) are being utilized in power generation systems [1][2][3]. Although such distributed energy resources (DERs) have significant contributions to increased energy resources and a cleaner environment, their extensive usage gives rise to new challenges in the regulation of power systems as a consequence of the intermittent behavior of DERs [4,5]. Furthermore, conventional synchronous generators with large inertia are being replaced by DERs with small inertia (e.g., wind turbines) or even zero inertia (e.g., PV) [6], raising concerns about the stability of the power system.…”

Section: Introductionmentioning

confidence: 99%

Decentralized Robust Control of a Network of Inverter-Based Distributed Generation Systems

Shojaee,

Azizi

2023

Applied Sciences

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This paper presents the design of decentralized robust controllers for a network of inverter-based distributed generation systems with LC filters in the scale of a nanogrid. Using overlapping decomposition, the network of inverters is clustered into several subnetworks such that all inverters within a subnetwork are strongly coupled and there is no or a weak coupling effect between any two inverters from different subnetworks. For the inverters within the same subnetwork, decentralized robust controllers are designed sequentially in the μ-synthesis framework. In addition, all controllers are designed to be robust against ±10% variations in the LC filter parameters. To assess the performance of the proposed sequentially-designed controllers and compare it to that of the benchmark independently-designed ones, the distances between two neighboring inverters from the same and different subnetworks are considered to be 200 (m) and 800 (m), respectively. In this case, time-response and robustness analysis results illustrate the superiority of the proposed sequentially-designed controllers in the overlapping decomposition framework over the benchmark independently-designed ones. Moreover, transient overload and nonlinear load analyses demonstrate that the proposed sequentially-designed decentralized controllers are able to keep the load voltage within ±10% of the nominal value and the harmonic voltage distortions to less than 4%.

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“…Robust optimization describes the range of changes in uncertain factors using a set of uncertainties. For example, (Xu et al, 2017), established a distributed robust control model of controllable devices in a distribution network with the goal of maximizing social welfare (Li et al, 2021). Evaluated the operating costs and risks of wind power to determine the allowable range of wind power output, and converted a centralized robust scheduling model into multiple sub-scheduling models for solution using the alternating direction method of multipliers.…”

Section: Introductionmentioning

confidence: 99%

Coordinated control of multiple converters in model-free AC/DC distribution networks based on reinforcement learning

et al. 2023

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Taking into account the challenges of obtaining accurate physical parameters and uncertainties arising from the integration of a large number of sources and loads, this paper proposes a real-time voltage control method for AC/DC distribution networks. The method utilizes model-free generation and coordinated control of multiple converters, and employs a combination of agent modeling and multi-agent soft actor critic (MASAC) techniques for modeling and solving the problem. Firstly, a complex nonlinear mapping relationship between bus power and voltage is established by training an power-voltage model, to address the issue of obtaining physical parameters in AC/DC distribution networks. Next, a Markov decision process is established for the voltage control problem, with multiple intelligent agents distributed to control the active and reactive power at each converter, in response to the uncertainties of photovoltaic (PV) and load variations. Using the MASAC method, a centralized training strategy and decentralized execution policy are implemented to achieve distributed control of the converters, with each converter making optimal decisions based on its local observation state. Finally, the proposed method is verified by numerical simulations, demonstrating its sound effectiveness and generalization ability.

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Robust Decentralized Coordination of Transmission and Active Distribution Networks

Cited by 17 publications

References 30 publications

ADMM-Based Multi-Objective Control Scheme for Mitigating the Impact of High Penetration DER Integration in the Modern Distribution Systems

ADMM-Based Multi-Objective Control Scheme for Mitigating the Impact of High Penetration DER Integration in the Modern Distribution Systems

Decentralized Robust Control of a Network of Inverter-Based Distributed Generation Systems

Coordinated control of multiple converters in model-free AC/DC distribution networks based on reinforcement learning

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