access icon free Flexibility evaluation of integrating solar power into the Nigerian electricity grid

The study evaluated the capability of current thermal generation to back-up variation generation from solar energy penetration into the Nigerian power grid from a system operation perspective using security constraint unit commitment model. This provides an empirical evidence of the impacts that can tip the balance towards a sustainable future low carbon electricity mix. Through 10 and 20% solar energy penetration scenarios, greenhouse reduction of 1975.70 and 3590.03 lb/day, respectively, can be achieved. However, daily peak-valley net demand difference to be supplied by the thermal plants will increase from 702.5 to 857.5 and 1607.5 MW, numbers of daily start-up will increase from 23 to 30 and 25, daily system spinning reserve will increase from 723 to 757 and 815 MW and daily idle hours of the thermal plants will increase from 52 to 71 and 72 h, in a 10 and 20% solar energy integrated system, respectively. The daily operational revenue of the thermal plants will also reduce by 5.5 and 7.9% in a 10 and 20% solar energy integrated system, respectively. These are useful data in developing policy framework for the future electricity market as the country diversify her energy source and mitigate greenhouse effect.

Inspec keywords: power markets; air pollution control; power generation scheduling; power generation dispatch; solar power stations; thermal power stations; power grids

Other keywords: solar energy integrated system; greenhouse effect mitigation; electricity market; power grid; greenhouse reduction; thermal plants; Nigerian electricity grid; thermal generation; power 857.5 MW; power 702.5 MW; power 815 MW; low carbon electricity mix; unit commitment model; solar power; solar energy penetration; security constraint; peak-valley net demand; power 1607.5 MW; flexibility evaluation; power 723 MW to 757 MW

Subjects: Solar power stations and photovoltaic power systems; Power system management, operation and economics; Pollution detection and control

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