Chance-constrained programming for day-ahead scheduling of variable wind power amongst conventional generation mix and energy storage

Abstract

This study presents a day-ahead scheduling of a generation portfolio incorporating large shares of intermittent wind generation. The scheduling utilises the cycling of conventional generation as well as the dispatch of energy storage (ES) to mitigate the impact of net load ramps. Inherent system flexibility, expressed as a chance constraint, is quantified in terms of ramping capability and operating reserves of conventional generation and ES. The flexibility chance constraint is then factorised into a set of linear deterministic inequalities, to preserve the mixed-integer linear programming structure of the resulting problem. Numerical simulations are performed and results are analysed for IEEE 24-bus and 118-bus systems. Test results show that implementation of ES improves the flexibility of the system, in terms of alleviation of the cycling of thermal generation as well as wind generation curtailment.