Enhancing PV Hosting Capacity Using Voltage Control and Employing Dynamic Line Rating

Karunarathne, Eshan; Wijethunge, Akila; Ekanayake, Janaka

doi:10.3390/en15010134

Cited by 12 publications

(9 citation statements)

References 40 publications

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“…Instead of installing additional devices, this study navigates the possibility of optimally leveraging the flexibility of using the prosumager owned electronic power inverter to control the distribution system voltage. This study assumes that the inverter's idling reactive power capacity is available to support voltage control [11]. The prosumagers can be compensated for this ancillary service.…”

Section: State Of the Artmentioning

confidence: 99%

“…The U sys sensitivity to this δQ is next evaluated by running an independent power flow and calculating the ∂U sys ∂Q cell value of each cell. The impact factor (IF) of all the cells is then calculated by using (11). If the operating system point changes significantly, then a new impact factor calculation needs to be carried out since the impact factor is dependent on the power flow Jacobian, and the power flow Jacobian varies with the operating point:…”

Section: Impact Based Cell Rank Evaluationmentioning

confidence: 99%

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Distributed Volt-Var Curve Optimization Using a Cellular Computational Network Representation of an Electric Power Distribution System

Dharmawardena

Venayagamoorthy

2022

Energies

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Voltage control in modern electric power distribution systems has become challenging due to the increasing penetration of distributed energy resources (DER). The current state-of-the-art voltage control is based on static/pre-determined DER volt-var curves. Static volt-var curves do not provide sufficient flexibility to address the temporal and spatial aspects of the voltage control problem in a power system with a large number of DER. This paper presents a simple, scalable, and robust distributed optimization framework (DOF) for optimizing voltage control. The proposed framework allows for data-driven distributed voltage optimization in a power distribution system. This method enhances voltage control by optimizing volt-var curve parameters of inverters in a distributed manner based on a cellular computational network (CCN) representation of the power distribution system. The cellular optimization approach enables the system-wide optimization. The cells to be optimized may be prioritized and two methods namely, graph and impact-based methods, are studied. The impact-based method requires extra initial computational efforts but thereafter provides better computational throughput than the graph-based method. The DOF is illustrated on a modified standard distribution test case with several DERs. The results from the test case demonstrate that the DOF based volt-var optimization results in consistently better performance than the state-of-the-art volt-var control.

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Section: State Of the Artmentioning

confidence: 99%

Section: Impact Based Cell Rank Evaluationmentioning

confidence: 99%

Distributed Volt-Var Curve Optimization Using a Cellular Computational Network Representation of an Electric Power Distribution System

Dharmawardena

Venayagamoorthy

2022

Energies

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“…It involves the interests of three parties: energy-using enterprises, energy-saving service companies, and power grid companies. Therefore, how to accurately analyze photovoltaic operating losses has become a focus of attention of the three parties [11][12][13]. Domestic and foreign scholars or enterprises have integrated the local monitoring data of photovoltaic power plants, environmental meteorological data of power plants, power plant fault information data, and other related information data, and built a unified information data monitoring and analysis platform, a comprehensive platform for power station operation management, and a data analysis platform based on big data [14,15].…”

Section: Introductionmentioning

confidence: 99%

Energy Loss Analysis of Distributed Rooftop Photovoltaics in Industrial Parks

Li¹,

Huang²,

Tan³

et al. 2023

Energy Engineering

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The analysis of the loss of distributed photovoltaic power generation systems involves the interests of energy users, energy-saving service companies, and power grid companies, so it has always been the focus of the industry and society in some manner or another. However, the related analysis for an actual case that considers different cooperative corporations' benefits is lacking in the presently available literature. This paper takes the distributed rooftop photovoltaic power generation project in an industrial park as the object, studies the analysis and calculation methods of line loss and transformer loss, analyzes the change of transformer loss under different temperatures and different load rates, and compares the data and trend of electricity consumption and power generation in industrial parks before and after the photovoltaic operation. This paper explores and practices the analysis method of the operating loss of distributed photovoltaic power generation and provides an essential reference for the benefit analysis and investment cost estimation of distributed photovoltaic power generation systems in industrial parks. The analyzed results reveal that the change loss is stable after the photovoltaic is connected, and there is no additional transformer loss. And before and after the photovoltaic system installation, there was no significant change in the total monthly data difference between the total meter and the sub-meter.

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“…The research discovered that integrating battery energy storage systems into the microgrid increased the system's PV hosting capacity. The research studied in [12] suggests a method for increasing the HC of LV distribution network for PV. Probabilistic and deterministic techniques were used to evaluate the influence of the stochastic effect of PV installations on voltage and ampacity, which directly affect the HC of LV distribution networks for PV.…”

Section: Introduction a Background And Literature Reviewmentioning

confidence: 99%

Increasing Unbalanced Distribution Network’s Hosting Capacity for Distributed Energy Resources by Voltage Regulators

2023

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Renewable energy sources (RESs) are becoming promising nowadays. Deploying distributed energy resources (DERs) is thus increasing accordingly, but the intermittent nature associated with RES remains a significant challenge. Also, the distribution grid faces technological difficulties with the largescale integration of PV generations and EV charging loads. This paper suggests a strategy for a novel optimal voltage regulator (VR) placement model associated with the optimal placement of electric vehicle chargers (EVCs) and photovoltaic (PV) cells. Also, VRs' reference voltages are determined optimally to enhance the hosting capacity (HC) of three-phase unbalanced distribution feeders for large-scale residential/public EVCs and PVs. Two scenarios are defined to study the impact of VRs on the network's HC for DERs, namely with and without VRs in the real three-phase unbalanced feeder. The developed model determines the optimal placement of VRs and their reference voltages linked with EVCs and PVs penetration. Time-Varying Acceleration Coefficients Iteration Particle Swarm Optimization (TVAC-IPSO) algorithm has been implemented to improve the real three-phase unbalanced distribution feeder's HC for DERs. The efficiency of the proposed model and the solution method is validated on the modified IEEE 37-node medium voltage (MV) radial distribution network connected to 35 low voltage (LV) distribution feeders. The obtained results represent that installing a proper number of VRs will increase the network's HC for DERs. INDEX TERMS Electric vehicle (EV), Particle swarm optimization (PSO), Photovoltaic (PV), Unbalanced distribution network, Voltage regulator (VR) NOMENCLATURE 1 This article has been accepted for publication in IEEE Access.

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Enhancing PV Hosting Capacity Using Voltage Control and Employing Dynamic Line Rating

Cited by 12 publications

References 40 publications

Distributed Volt-Var Curve Optimization Using a Cellular Computational Network Representation of an Electric Power Distribution System

Distributed Volt-Var Curve Optimization Using a Cellular Computational Network Representation of an Electric Power Distribution System

Energy Loss Analysis of Distributed Rooftop Photovoltaics in Industrial Parks

Increasing Unbalanced Distribution Network’s Hosting Capacity for Distributed Energy Resources by Voltage Regulators

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