Research on the Coordinated Optimization Scheduling Strategy of the Multi-Source Power Generation System Incorporating EH-CSP Power Station

To achieve efficient accommodation of renewable energy and ensure the safe and stable operation of the power system, this paper proposes a day-ahead and intra-day optimal dispatch method for a multi-source power generation system incorporating an Electric Heaters-Concentrating Solar Power (EH-CSP) plant. The proposed model consists of two components: a day-ahead dispatch plan with a 1-hour time resolution, which determines the generation schedule one day in advance based on load demand curves and renewable energy output prediction curves, serving as input variables for the intra-day dispatch; and an intra-day dispatch plan with a 15-minute time resolution over a 4-hour execution cycle. Without considering thermal unit start-up/shutdown costs, the intra-day dispatch first performs rolling optimization for hours 1-4 using day-ahead scheduling data and ultra-short-term load/renewable energy forecasts. Subsequently, it predicts the next hour's load demand and renewable output based on optimized results from hours 1-4, then performs rolling optimization for hours 2-5. This process repeats 24 times to obtain 96-time-point data for load, wind, PV, and EH-CSP plant outputs. Finally, these data are used to determine power source dispatch schedules and system spinning reserve plans. The model is solved using the Curve-Incremental Strategy-based Adaptive Particle Swarm Optimization (CIPSO) algorithm. Case studies on a modified IEEE 30-node system demonstrate that the proposed method effectively enhances renewable energy utilization and reduces operational costs in power systems.