Joint generation and reserve scheduling of wind-solar-pumped storage power systems under multiple uncertainties

Due to uncertain nature, large-scale renewable integration, such as wind and solar energy, has challenged secure operation of power systems. With excellent peak clipping and valley filling capability, pumped storage power is often installed to stabilize fluctuation of renewable power output and improve economy of system operation. This paper aims at exploiting an approach to jointly scheduling generation and reserve for wind-solar-pumped storage power systems, taking multiple uncertainties (including wind and solar power output, load change, and generator failure) into account. Uncertainties are treated accordingly by two categories: continuous and discrete. To quantify reserve, continuous uncertainties (forecast errors of wind farm output considering forced outage of wind turbines, solar power output and load) are modeled probabilistically, then discretized into multistate units, further coupled with discrete generator outage to establish capacity outage probability table (COPT) and formulate relationship between reserve and reliability index loss-of-load probability (LOLP). Next, a security-constrained unit commitment (SCUC) model is formulated to handle multiple uncertainties properly, to schedule generation and reserve jointly. Therein, operational characteristics of pumped storage power station are deliberated; stochastic and affinely adjustable robust optimization (AARO) method is adopted to address discrete and continuous uncertainties. Finally, case study is implemented on New England 39-bus system; it is verified that pumped storage station can effectively improve system economy (accounting for 3.8% of total installed capacity, it can reduce the system cost by 6.9%), proposed that method to coping with multiple uncertainties and transmission constraints is effective, and proposed that approach can assure system reliability in an economic way.