Predictive and Cooperative Voltage Control with Probabilistic Load and Solar Generation Forecasting

Mahdavi, Shahrzad; Panamtash, Hossein; Dimitrovski, Aleksandar; Zhou, Qun

doi:10.1109/pmaps47429.2020.9183699

Cited by 6 publications

(1 citation statement)

References 15 publications

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“…The power grid is evolving to include an increasing penetration level of renewable energy [1]. While a higher level of renewable generation results in less pollution and cheaper energy generation, it also introduces new challenges to the power system operation [2]. The uncertainty associated with renewable energy including Photo-Voltaic (PV) generation and the very volatile nature of the power output makes it difficult for the power system operator to maintain the power balance in the system [3].…”

Section: Introductionmentioning

confidence: 99%

Solar Power Smoothing in a Nanogrid Testbed

Panamtash

Sun

York

et al. 2022

2022 IEEE/PES Transmission and Distribution Conference and Exposition (T&D)

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High penetration of solar power introduces new challenges in the operation of distribution systems. Considering the highly volatile nature of solar power output due to changes in cloud coverage, maintaining the power balance and operating within ramp rate limits can be an issue. Great benefits can be brought to the grid by smoothing solar power output at individual sites equipped with flexible resources such as electrical vehicles and battery storage systems. This paper proposes several approaches to a solar smoothing application by utilizing battery storage and EV charging control in a "Nanogrid" testbed located at a utility in Florida. The control algorithms focus on both realtime application and predictive control depending on forecasts. The solar smoothing models are then compared using real data from the Nanogrid site to present the effectiveness of the proposed models and compare their results. Furthermore, the control methods are applied to the Orlando Utilities Commission (OUC) Nanogrid to confirm the simulation results.

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Section: Introductionmentioning

confidence: 99%