A Review of Approaches to the Quantification of Operating Reserve requirements in Systems with Large Scale Wind Power Integration

dc.contributor.authorMuriithi, Christopher M.
dc.contributor.authorWamukoya, Brian K.
dc.contributor.authorNgoko, Bonface
dc.date.accessioned2018-05-28T13:14:25Z
dc.date.available2018-05-28T13:14:25Z
dc.date.issued2018-05
dc.description.abstractThe need to diversify power generation sources, increase security of supply, incorporate sustainability in energy sources and reducing fuel usage and emissions has significantly led to the integration of variable renewable energy sources such as wind to power grids globally. However, increased integration of wind power into a grid necessitates the need to update unit commitment and operating reserve algorithms since wind power is highly variable, intermittent and non-dispatchable. In addition, operational decisions in these grids are made on the basis of wind and load forecasts which are not perfect. Therefore, variability and uncertainty due to wind power introduced in the system requires an increase in operating reserve allocation to maintain reliability levels after wind power integration. This paper reviews recent work on determination of additional operating reserve requirement for power systems with large scale wind power integration. It also highlights different methods incorporated in solving the optimization problem in balancing between economics and reliability of power systems in sizing of additional reserve. In conclusion, gaps in literature that require further research are identifieden_US
dc.identifier.citationProceedings of the 2018 Sustainable Research and Innovation (SRI) Conference, JKUAT, May 2018, Pg 8-13en_US
dc.identifier.urihttps://repository.mut.ac.ke/handle/123456789/3586
dc.language.isoenen_US
dc.subjectWind integrationen_US
dc.subjectOperating reserveen_US
dc.subjectRe serve quantificationen_US
dc.subjectWind variability and uncertainty.en_US
dc.titleA Review of Approaches to the Quantification of Operating Reserve requirements in Systems with Large Scale Wind Power Integrationen_US
dc.typeTechnical Reporten_US

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