Wind generation scheduling with pump storage unit by Collocation method

Abstract

Wind generation is currently undergoing the fastest rate of growth of any form of electricity generation in the world. Integration of wind power into systems could be problematic, however, due to availability and variability of wind supply. As a proven storage technology, pump storage may provide/absorb additional capacity so as to hedge against adverse situations. A scheduling software is needed to coordinate wind generation and pump storage units, given existing price and wind forecasting modules. This paper first implements a "Collocation Method" to solve a dispatching problem of wind and pump storage units, given the forecasting of future price and wind generation. Second, given that a pumping decision is discrete while generation dispatching is continuous, this paper uses a two-step strategy to solve a mixed-integer problem. Transition constraints are modeled based on the property of collocation method. Third, this paper uses real wind generation and real-time energy price data to simulate scheduling activities by the proposed model. A comparison of expected profits between wind only and wind plus pump storage unit is given.