Two-Stage Scheduling Strategy for Integrated Energy Systems Considering Renewable Energy Consumption

With the crisis of energy and environment, integrated systems (IES) have a bright prospect in future reform owing to excellent economic environmental performance. The IES combines large amount renewable (RE), which guarantees its benefits. Many uncertainties RE threaten performance IES. How promote consumption under strong is crucial problem scheduling In this work, two-stage strategy for combining day-ahead real-time proposed guide system operation. stage can obtain optimal scheme one day advance based on forecast data RE, introduced cope with RE. model established hub (EH), entire implemented model. integrates various conversion equipment give full play advantages coordination complementation improved particle swarm optimization (IPSO) as solution algorithm whole strategy, improves traditional PSO through random nonlinearity change inertia weight best perturbation operator (BSPO). Compared PSO, IPSO has more solving Finally, different schemes situations are compared.