Abstract
Renewable energy resources represent a noticeable part of the overall energetic concept development. New integration of renewable energy resources into power grids has a significant impact on the reliability and quality of power supply. The major problem of the photovoltaic and wind power plants is their dependency on weather conditions, since it has a direct effect on their immediate output produced that shows stochastic behaviour. These stochastic outputs result in very adverse impacts on the power grid. Further development of these resources could lead to exceeding of the control and absorption abilities of the power grid. The power grid must be set in balance with respect to the production and consumption of electric power at any time. The operation of photovoltaic power plants impair keeping this balance. That has an adverse impact on the very operation and maintenance of network parameters within the extent required. This survey deals with analysis focused on operation of the photovoltaic power plants with respect to the increase of reserve power in ancillary services in the Czech Republic.
Highlights
Both photovoltaic power and wind power are sources considerable depended on meteorological conditions [5], [6], [10]
This survey determines the impact produced by integration of PvP into the power grid of the Czech Republic
During their peak production periods, photovoltaic power plants represent approximately 20 % share of the total capacity delivered by all power plants
Summary
Both photovoltaic power and wind power are sources considerable depended on meteorological conditions [5], [6], [10]. The impact brought by increase of the installed capacity of PvP on remote control of the power grid and the relevant utilisation of Ancillary Services (AS) could be observed since the year 2011, when the installed capacity of PvP grew from approximately 450 MW in the preceding year to approximately 1950 MW in this year [2] The standard deviation of this system deviation grew by up to 50 MW during afternoon hours to reach the extreme value of approximately 200 MW [2] The reason for this increase may be the effect of PvP, as prediction models applicable to production of electric power by PvP cannot provide an accurate estimate of the weather effects on commissioning of production using these resources. The outcome from prediction models has a direct effect on behaviour of market players, including determination of system deviation
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