Voltage Optimization in PV-Rich Distribution Networks—A Review

Dubravac, Marina; Fekete, Krešimir; Topić, Danijel; Barukčić, Marinko

doi:10.3390/app122312426

Cited by 12 publications

(3 citation statements)

References 107 publications

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“…Finally, addressing the challenges of integrating DERs, such as voltage optimization and overcoming regulatory obstacles, digital solutions emerge as key facilitators. Study [128] focuses on employing PV inverters for voltage control and leveraging optimal power flow tools for enhancing network operations, showcasing effective methods for integrating PV systems into distribution networks.…”

Section: Impact Of Der Integration On Energy Marketsmentioning

confidence: 99%

Digitalization Processes in Distribution Grids: A Comprehensive Review of Strategies and Challenges

Aghahadi,

Bosisio,

Merlo

et al. 2024

Applied Sciences

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This systematic review meticulously explores the transformative impact of digital technologies on the grid planning, grid operations, and energy market dynamics of power distribution grids. Utilizing a robust methodological framework, over 54,000 scholarly articles were analyzed to investigate the integration and effects of artificial intelligence, machine learning, optimization, the Internet of Things, and advanced metering infrastructure within these key subsections. The literature was categorized to show how these technologies contribute specifically to grid planning, operation, and market mechanisms. It was found that digitalization significantly enhances grid planning through improved forecasting accuracy and robust infrastructure design. In operations, these technologies enable real-time management and advanced fault detection, thereby enhancing reliability and operational efficiency. Moreover, in the market domain, they support more efficient energy trading and help in achieving regulatory compliance, thus fostering transparent and competitive markets. However, challenges such as data complexity and system integration are identified as critical hurdles that must be overcome to fully harness the potential of smart grid technologies. This review not only highlights the comprehensive benefits but also maps out the interdependencies among the planning, operation, and market strategies, underlining the critical role of digital technologies in advancing sustainable and resilient energy systems.

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Section: Impact Of Der Integration On Energy Marketsmentioning

confidence: 99%

Digitalization Processes in Distribution Grids: A Comprehensive Review of Strategies and Challenges

Aghahadi,

Bosisio,

Merlo

et al. 2024

Applied Sciences

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“…The traditional DN control devices, including OLTC, CBs and VRs, preset slow response mechanisms with a limited lifespan due to mechanical parts [4]. However, combined with quick response mechanisms such as PV inverter's reactive power support can achieve promising results in improving DN technical conditions [5][6][7][8][9].…”

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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“…A comprehensive review of voltage optimization in PV-rich distribution systems is outlined in [18]. The review identified two categories of existing works.…”

Section: Introductionmentioning

confidence: 99%

A Modular Algorithm Based on the Minimum-Cost-Path Problem for Optimizing LTC Operations in Photovoltaic Integrated Distribution Systems

Yaniv

Beck

2023

Energies

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This paper presents a novel modular voltage control algorithm for optimal scheduling of a distribution system’s load tap changers to minimize the number of tap changes while maintaining a voltage deviation (VD) around a desired target. To this end, a bi-objective optimal voltage regulation (OVR) problem is addressed in two distinct stages. First, the operational constraint on the load tap changer is removed to form a single-objective OVR problem relating to the voltage. The solution obtained in this stage is ultimately utilized to determine the penalty value assigned to the distance from the optimal (solely in terms of voltage) control value. In the second stage, the optimal scheduling problem is formulated as a minimum-cost-path problem, which can be efficiently solved via dynamic programming. This approach allows the identification of optimal scheduling that considers both the voltage-related objective as well as the number of load tap changer switching operations with no added computational burden beyond that of a simple voltage optimization problem. The method imposes no restriction on the load tap changer’s operation and is tested under two different target functions on the standard IEEE-123 test case. The first attains a nominal voltage with a 0.056 p.u. voltage deviation and the second is the well-known conservation voltage reduction (CVR) case with a 0.17 p.u. voltage deviation. The method is compared to an evolutionary-based algorithm and shows significant improvement in the voltage deviation by a factor of 3.5 as well as a computation time acceleration of two orders of magnitude. The paper demonstrates the effectiveness and potential of the proposed method as a key feature in future cutting-edge OVR methods.

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Voltage Optimization in PV-Rich Distribution Networks—A Review

Cited by 12 publications

References 107 publications

Digitalization Processes in Distribution Grids: A Comprehensive Review of Strategies and Challenges

Digitalization Processes in Distribution Grids: A Comprehensive Review of Strategies and Challenges

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

A Modular Algorithm Based on the Minimum-Cost-Path Problem for Optimizing LTC Operations in Photovoltaic Integrated Distribution Systems

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