Coordination of Distributed Energy Resources: Model Predictive Control based Approach

Balda, Pavel; Schlegel, M.; Severa, Ondřej; Štětina, Milan

doi:10.1109/pc.2019.8815049

Cited by 2 publications

(2 citation statements)

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“…In the case of discharge or power grid supply, the outputs of these assets are considered positive, otherwise negative. The need to meet the total power demand while respecting the generator limitations, particularly the minimum and maximum power outputs, aligns with the previously defined formulation [10,26,58]. These constraints can be expressed as:…”

Section: Problem Formulationmentioning

confidence: 82%

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A Robust Distributed Algorithm for Solving the Economic Dispatch Problem with the Penetration of Renewables and Battery Systems

Kubicek,

Cech,

Strelec

2024

Applied Sciences

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In the field of energy networks, for their effective functioning, it is necessary to distribute the required load between all online generating units in a proper way to cover the demand. The load schedule is obtained by solving the so-called Economic Dispatch Problem (EDP). The EDP can be solved in many ways, resulting in a power distribution plan between online generating units in the network so that the resulting price per unit of energy is minimal. This article focuses on designing a distributed gradient algorithm for solving EDP, supplemented by models of renewable sources, Battery Energy Storage System (BESS), variable fuel prices, and consideration of multiple uncertainties at once. Specifically, these are: time-variable transport delays, noisy gradient calculation, line losses, and drop-off packet representations. The algorithm can thus be denoted as robust, which can work even in unfavorable conditions commonly found in real applications. The capabilities of the presented algorithm will be demonstrated and evaluated on six examples.

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Section: Problem Formulationmentioning

confidence: 82%

“…Those could involve usage of weather forecasts and market energy price data to predict solar and wind power production and optimize BESS operations for energy storage, extraction, or direct grid use. Methods like Model Predictive Control or Rolling Horizon Strategy could be explored for this purpose [31,32,58].…”

Section: Future Workmentioning

confidence: 99%