Multi-Time-Scale Coordinated Optimum Scheduling Technique for a Multi-Source Complementary Power-Generating System with Uncertainty in the Source-Load

An optimal dispatching strategy for a multi-source complementary power generation system taking source–load uncertainty into account is proposed, in order to address the effects of large-scale intermittent renewable energy consumption and load instability on grid dispatching. The problem first converted common situations study, such as forecasting solar wind power. backward scenario reduction Latin hypercube sampling techniques are used create these situations. Based this, multi-timescale coordinated optimum scheduling control method demand response presented, operation wind–PV–thermal-pumped storage hybrid examined. time-of-use price optimizes electrical day-ahead pricing mode, two types loads selected scheduling. Second, lowest operating cost minimal intra-day adjustment each source established optimization targets phases model system. example study demonstrates that may increase amount consumed, minimize fluctuations, stability, further reduce expenses, proving viability efficiency suggested strategy.