- 标题
- 摘要
- 关键词
- 实验方案
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Adaptive Decentralized Control of Residential Storage in PV-Rich MV-LV Networks
摘要： The rapid adoption of residential-scale photovoltaic (PV) systems in low voltage (LV) networks combined with the falling prices of residential-scale battery energy storage (BES) systems is paving the way for a future in which customers could locally supply most of their energy needs. However, off-the-shelf (OTS) storage systems operate for the sole benefit of the customer (reducing grid imports). This means that charging might not occur during times of high PV generation, resulting in technical issues on LV and medium voltage (MV) networks. This work proposes an adaptive decentralized control strategy for residential-scale BES systems to reduce voltage and thermal issues whilst still benefiting customers. With this strategy, the power charging and discharging rates constantly adapt throughout the day based on clear-sky irradiance, PV generation, demand, and state of charge; significantly reducing reverse power flows and ensuring adequate storage capacity the next morning. A real Australian MV feeder with realistically modelled LV networks is studied using smart meter data. Results demonstrate that the proposed control strategy overcomes the limitations of the OTS BES. It is also shown it can be as effective as an ideal optimization-based approach, being able to manage all technical issues without significantly affecting customers.
关键词： PV Systems,Self-Sufficiency,Distribution Networks,Battery Energy Storage Systems
更新于2025-09-23 15:23:52
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Data-driven uncertainty analysis of distribution networks including photovoltaic generation
摘要： This paper investigates residential distribution networks with uncertain loads and photovoltaic distributed generation. An original probabilistic modeling of consumer demand and photovoltaic generation is presented that is based on the analysis of large set of data measurements. It is shown how photovoltaic generation is described by complex non-standard distributions that can be described only numerically. Probabilistic analysis is performed using an enhanced version of the Polynomial Chaos technique that exploits a proper set of polynomial basis functions. It is described how such functions can be generated from the numerically available data. Compared to other approximate methods for probabilistic analysis, the novel technique has the advantages of modeling accurately truly nonlinear problems and of directly providing the detailed Probability Density Function of relevant observable quantities affecting the quality of service. Compared to standard Monte Carlo method, the proposed technique introduces a simulation speedup that depends on the number of random parameters. Numerical applications to radial and weakly meshed networks are presented where the method is employed to explore overvoltage, unbalance factor and power loss, as a function of photovoltaic penetration and/or network configuration.
关键词： Photovoltaic generation,Data-driven models,Polynomial chaos,Unbalanced distribution networks,Probabilistic load flow,Uncertainty Analysis
更新于2025-09-23 15:21:01
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[IEEE 2019 44th International Conference on Infrared, Millimeter, and Terahertz Waves (IRMMW-THz) - Paris, France (2019.9.1-2019.9.6)] 2019 44th International Conference on Infrared, Millimeter, and Terahertz Waves (IRMMW-THz) - Semiconductor quantum plasmonics
摘要： Real-time (RT) simulation is a highly reliable simulation method that is mostly based on electromagnetic transient simulation of complex systems comprising many domains. It is increasingly used in power and energy systems for both academic research and industrial applications. Due to the evolution of the computing power of RT simulators in recent years, new classes of applications and expanded fields of practice could now be addressed with RT simulation. This increase in computation power implies that models can be built more accurately and the whole simulation system gets closer to reality. This Task Force paper summarizes various applications of digital RT simulation technologies in the design, analysis, and testing of power and energy systems.
关键词： electric power circuits,distribution networks,modeling,real-time (RT) simulation,hardware-in-the-loop (HIL),rapid prototyping (RP),Applications,transmission networks,design,testing
更新于2025-09-19 17:13:59
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[IEEE 2019 IEEE Milan PowerTech - Milan, Italy (2019.6.23-2019.6.27)] 2019 IEEE Milan PowerTech - optimising Load Flexibility for the Day Ahead in Distribution Networks with Photovoltaics
摘要： In this paper a methodology is proposed to calculate the load demand ?exibility that could be activated within the next 24-hours for solving the technical impacts of contingencies that may come up in an unbalanced low voltage distribution networks with high penetration of intermittent DG sources. The methodology is formulated within a Demand Response program environment via load shifting as ?exibility enabler mechanism. To achieve that, a non-linear optimisation problem is formulated based on an unbalanced optimal power ?ow, which allows the determination of the load ?exibility that each Demand Response customer could provide at the request of the Distribution System Operator. The demand as well as weather conditions are forecasted for the day ahead. The optimisation problem is solved in a sequence fashion, within a daily framework, splitting the whole problem in optimisation blocks. In each block, the ?exible load demand is obtained and the load demand forecasting its updated for the upcoming blocks based on the changes in the scheduled load demand. The methodology is applied to a real distribution network with the load data received from the smart metering infrastructure. The results obtained show the strength of the methodology in solving the technical problems of the network under high unbalanced operation.
关键词： Photovoltaics,Demand Response,Load Flexibility,Distribution Networks,Optimal Power Flow
更新于2025-09-12 10:27:22
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[IEEE 2018 2nd International Conference on Smart Grid and Smart Cities (ICSGSC) - Kuala Lumpur, Malaysia (2018.8.12-2018.8.14)] 2018 2nd International Conference on Smart Grid and Smart Cities (ICSGSC) - Research of Voltage Stability in 10 kV Distribution Networks during Integrating the 2 MW Solar Power Plant
摘要： In Kazakhstan, a number of measures have been taken to stimulate the introduction of renewable energy, one of which is solar energy [1], [2]. Until 2025, the introduction of solar power plants (SPP) will be 650 MW. When integrating solar panels with inverter coupling into electrical networks, a number of difficulties arise related to the stability of the voltage in transient modes. The converter voltage inverters do not have feedback from the voltage of the external power supply system. Power generation of SPP, as a rule, is only a function of solar radiation and does not depend on the network parameters [3]. In this regard, the actual issue is the introduction of adaptive controllers for controlling inverters, depending on the change in the mode parameters [4], [5]. In this paper, we present the results of studies on the modeling of transient regimes using the example of the SPP with an installed capacity of 2 MW. The virtual model of the PSCad analyzed the stability of the voltage in the event of a short circuit on the 10 kV bus, algorithms and mechanisms for using the intelligent controller for controlling the photovoltaic system were developed.
关键词： solar power plant integration,short-circuit current,transient processes,voltage stability,distribution networks
更新于2025-09-09 09:28:46