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Introduction Chapter | 1 17

































             FIG. 1.12  Time series of UK electricity demand in 2015. The raw data (light gray lines)are at
             5-min time intervals, and the thick black line in (A) is the data smoothed over a 24-h averaging
             period. (A) 2015. (B) October 2015. (C) October 19–25, 2015. (Data from http://www.gridwatch.
             templar.co.uk/.)




             produced using thermal power stations. Such power stations work with the help
             of heavy rotating masses that have inertia. This inertia in the rotating masses
             of synchronous generators determines the immediate frequency response with
             respect to inequalities in the overall power balance [11]. When a frequency event
             occurs, for example, a large surge or reduction in demand, the synchronous
             machines will either inject or absorb kinetic energy into or from the grid to
             offset the frequency deviation. A grid that has very low system inertia will find
             it difficult to react to large changes in supply or demand—the grid is said to be
             ‘nervous’.
                Renewable energy power plants tend to have very low or zero inertia.
             Although there is a significant amount of kinetic energy stored in the rotating
             blades of wind turbines, this inertia is electrically decoupled from the grid, and
             so does not contribute to system inertia [9]. Solar power plants have no moving
             parts, and so have zero inertia. As levels of renewable energy penetration
             increase significantly, it will therefore be necessary to think about the problems
             that renewables will encounter with respect to grid inertia.
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