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

Far, Sadaf Rahimi; Moeini, Ali; Chandra, Ambrish; Kamwa, Innocent

doi:10.1109/access.2023.3266650

Cited by 5 publications

(1 citation statement)

References 42 publications

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“…Another open question is related to the application of distributed control schemes on LV unbalanced distribution networks. As in [23], the authors in [25] propose a distributed control scheme for reducing APC and PV power loss by charging and discharging BESSs. PV inverters locally provide voltage support and reduce APC to a minimum with optimal allocation and coordination.…”

Section: Introductionmentioning

confidence: 99%

Multi-Stage Operation Optimization of PV-Rich Low-Voltage Distribution Networks

Dubravac,

Žnidarec,

Fekete

et al. 2023

Applied Sciences

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The high expansion of a variable and intermittent nature of distributed generation, such as photovoltaics (PV), can cause technical issues in existing distribution networks (DN). In addition to producing electrical energy, PVs are inverter-based sources, and can help conventional control mechanisms in mitigating technical issues. This paper proposes a multi-stage optimal power flow (OPF)-based mixed-integer non-linear programming (MINLP) model for improving an operation state in LV PV-rich DN. A conventional control mechanism such as on load tap changer (OLTC) is used in the first stage to mitigate overvoltage caused by PVs. The second stage is related to reducing losses in DN using reactive power capabilities from PVs, which defines the optimization problem as a fully centralized observed from the distribution system operator’s (DSO) point of view. The optimization problem is realized under the co-simulation approach in which the power system analyzer and computational intelligence (CI) optimization method interact through an interface. This approach allows keeping the original MINLP model without approximations and using any computational intelligence method. OpenDSS is used as a power system analyzer, while particle swarm optimization (PSO) is used as a CI optimization method in this paper. Detailed case studies are performed and analyzed over a single-day period. To study validation and feasibility, the proposed model is evaluated on the IEEE LV European distribution feeder. The obtained results suggest that a combination of conventional control mechanisms (OLTC) and inverter-based sources (PVs) represent a promising solution for DSO and can serve as an alternative control method in active distribution networks.

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Section: Introductionmentioning

confidence: 99%

Multi-Stage Operation Optimization of PV-Rich Low-Voltage Distribution Networks

Dubravac,

Žnidarec,

Fekete

et al. 2023

Applied Sciences

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A Time Orient Power Regulation Model for Improved Power Distribution in Smart Cities Using Power Grids

Chandrawanshi

2024

E3S Web of Conf.

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The power distribution problem in smart cities is well analyzed. From the analysis, there are number of methods been recommended by various researchers to handle this problem. The most approaches consider the number of connections, devices, number of high tension connection available in the city or area of the city towards regulating the power source. However, these methods suffer to achieve higher performance in distribution and energy utilization. To handle this issue, an Time Orient Power Regulation Model (TOPRM) is presented in this article. The method maintains the records of various region of the city about the organizations, commercial buildings, residential buildings, household connections, devices and others. Using these information, the method estimates Time orient energy utilization factor (TEUF) for various regions based on average utilization of electricity at different time stamp. Based on these factors, the method identifies the most claiming region and poor claiming region for various time stamp to perform regulation. According to the value of TEUF, the method regulates the electric power for various sectors of the city. The proposed model improve the performance of power utilization and power distribution.

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Optimal configuration of distributed energy storage based on the identification of voltage-vulnerable nodes

Wang,

Zhao,

Wang

et al. 2024

J. Phys.: Conf. Ser.

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With the rapid growth of distributed photovoltaic power generation and its integration into the grid, the power supply pressure on the grid has significantly intensified, and problems such as voltage exceeding the limit and power backflow are prone to occur. Addressing the issues of voltage surpassing thresholds and power reversal in distribution networks due to distributed photovoltaic systems through strategic placement of distributed energy storage has emerged as a principal research target. To this end, this paper first utilizes the Dempster-Shafer evidence theory to calculate the vulnerability of distribution network nodes based on vulnerability indices, selecting the vulnerable nodes. Subsequently, by analyzing the correlation between power and voltage, the sensitivity of voltage at distribution network nodes is determined. A distributed energy storage voltage regulation planning model is established using relevant constraints of energy storage in the distribution network and line-related conditions. Additionally, the voltage regulation scenarios that consider tap changers and static VAR compensation (SVC) are calculated. Ultimately, the efficacy of the suggested approach is validated through simulation on the IEEE 33-bus system.

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

Cited by 5 publications

References 42 publications

Multi-Stage Operation Optimization of PV-Rich Low-Voltage Distribution Networks

Multi-Stage Operation Optimization of PV-Rich Low-Voltage Distribution Networks

A Time Orient Power Regulation Model for Improved Power Distribution in Smart Cities Using Power Grids

Optimal configuration of distributed energy storage based on the identification of voltage-vulnerable nodes

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