Forecast-based modeling and robust frequency control of standalone microgrids considering high penetration of renewable sources

dc.contributor.authorBhanot, Surekha
dc.contributor.authorMathur, Hitesh Datt
dc.contributor.authorMukherjee, Bijoy Krishna
dc.date.accessioned2023-02-16T10:07:06Z
dc.date.available2023-02-16T10:07:06Z
dc.date.issued2020-12
dc.description.abstractThis article proposes forecast-based modeling and robust frequency control strat-egy in isolated microgrids (MGs) to improve its stability. The intermittency andvariability in renewable generation is problem for its smooth integration to MGsconsidering frequency stability. Continuous rise in penetration levels of renew-able energy sources (RESs) is the main motivation behind forecast-based model-ing and controller design for MGs. The disturbances that affect the frequency inthe MG may come from the load side and/or the generation sides. In MGs, atthe generation side, the forecast of power from RESs is usually obtained to get arough estimate of available renewable power. The forecasted power always dif-fers from the actual one, so the secondary frequency controller may get over-burdened due to forecast error resulting in abnormal frequency deviation thatmay lead to unstable power system. The proposedH∞based robust controldesign considers the forecast error which improves the system stability and per-formance against disturbances coming from load/generation side.en_US
dc.identifier.urihttps://onlinelibrary.wiley.com/doi/full/10.1002/2050-7038.12759
dc.identifier.urihttp://dspace.bits-pilani.ac.in:8080/xmlui/handle/123456789/9282
dc.language.isoenen_US
dc.publisherWileyen_US
dc.subjectEEEen_US
dc.subjectForecastingen_US
dc.subjectFrequency stabilityen_US
dc.subjectLong short term memory networken_US
dc.subjectRenewable energyen_US
dc.subjectRobust controlen_US
dc.subjectUncertaintyen_US
dc.titleForecast-based modeling and robust frequency control of standalone microgrids considering high penetration of renewable sourcesen_US
dc.typeArticleen_US

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