2022
DOI: 10.13044/j.sdewes.d9.0404
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Multi-Objective Optimal Dispatching and Operation Control of a Grid Connected Microgrid Considering Power Loss of Conversion Devices

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Cited by 3 publications
(1 citation statement)
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“…The new power system comprises diverse fuzzy information, encompassing complex interrelations among different factors and probabilistic knowledge of future states [94,96], posing challenges for precise management. Consequently, optimal dispatching should incorporate theoretical methods from fuzzy logic [161] and probabilistic reasoning to develop a comprehensive model encompassing various uncertainty factors. Through probabilistic reasoning, a thorough analysis of historical data and the employment of statistical techniques can be used to quantify the uncertainty of the fuzzy logic model to create probability distributions, thus offering probabilistic insights into predicting the future state of the power system.…”
Section: Challenges and Prospects Of Optimal Dispatchingmentioning
confidence: 99%
“…The new power system comprises diverse fuzzy information, encompassing complex interrelations among different factors and probabilistic knowledge of future states [94,96], posing challenges for precise management. Consequently, optimal dispatching should incorporate theoretical methods from fuzzy logic [161] and probabilistic reasoning to develop a comprehensive model encompassing various uncertainty factors. Through probabilistic reasoning, a thorough analysis of historical data and the employment of statistical techniques can be used to quantify the uncertainty of the fuzzy logic model to create probability distributions, thus offering probabilistic insights into predicting the future state of the power system.…”
Section: Challenges and Prospects Of Optimal Dispatchingmentioning
confidence: 99%