0000000000280473

AUTHOR

Elene M. Espeland

showing 1 related works from this author

A predictive learning approach to optimal load sharing in energy management systems

2019

Given the total power demand, $P_{d}$ , current practice of equal load sharing in the process industry is to distribute the load among power supply units and machines (e.g., diesel/aas/wind turbines) in proportion to the maximum power, i.e., $P_{i}=\frac{p_{\max}^{i}}{\sum_{j}P_{\max}^{j}}P_{d}$ , where $P_{\max}^{i}$ denotes the maximum power of the ithunit. However, the efficiency of power supply units, vary in time and are highly individual, even in the case of units from same brand and model. Thus, by considering and utilizing these individual differences, it is possible to share the load in a more fuel/cost/energy optimal manner. To capture this potential, the work presented in this pa…

0209 industrial biotechnologyWind powerMaximum power principlePower stationbusiness.industryEnergy management020208 electrical & electronic engineering02 engineering and technologyTopologyEnergy storagePower (physics)020901 industrial engineering & automation0202 electrical engineering electronic engineering information engineeringConnection (algebraic framework)businessEnergy (signal processing)Mathematics2019 18th European Control Conference (ECC)
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