Abstract

Large quantum of photovoltaic (PV) generation into the grid would reduce system's primary frequency response (PFR) capability. Adequate PFR is critical to provide rapid frequency stability after contingencies such as large generation outage. PFR estimation and its scheduling within acceptable operational time frames is a challenging task for system operator. Uncertain PV generation makes this problem critical. Existing models for PV uncertainty characterisation with stochastic scheduling are computationally demanding. This study proposes a computationally fast modified interval scheduling approach for operation and PFR cost minimisation. Uncertainty is modelled through interval forecasting, while hourly ramp needs are based on net load scenario. The proposed model is compared with stochastic scheduling approach for PFR performance, overall cost performance, computational time and PV curtailment. Numerical results show that the proposed model drastically reduces simulation time for similar cost performance.

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