Optimal Coordinated Dispatching Strategy of Multi-Sources Power System with Wind, Hydro and Thermal Power Based on CVaR in Typhoon Environment

• Published in: Energies (Basel) Vol. 14; no. 13; p. 3735
• Main Authors: Qian, Minhui, Chen, Ning, Chen, Yuge, Chen, Changming, Qiu, Weiqiang, Zhao, Dawei, Lin, Zhenzhi
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01-07-2021
• Subjects: Accuracy; Alternative energy sources; Coastal zone; Complementarity; conditional value at risk (CVaR); Disasters; Electric power grids; Energy consumption; Hydroelectric power; multi-source power system; Natural disasters; Optimization; pre-dispatching; Rain; Renewable resources; scenario analysis method; Spatial distribution; Storm damage; Strategy; System effectiveness; Thermal power; Thermoelectricity; typhoon wind circle model; Typhoons; Wind power; Wind speed; Guangdong China; China
• ISSN: 1996-1073; 1996-1073
• DOI: 10.3390/en14133735

Typhoons and other natural disasters affect the normal operation of power systems thus it is an important goal for strong and intelligent power grid construction to improve the ability of power systems to resist typhoons and other natural disasters. Especially, an effective coordinated and optimized dispatching strategy for a multi-source power system is greatly helpful to cope with the impact of typhoons and other natural disasters on power system operation. Given this background, a typhoon wind circle model considering the temporal and spatial distribution of typhoons is established to obtain the input wind speed of the wind farm at first. Second, based on the initial input wind speed of wind farms, a typical scenario set of wind power output is constructed to reflect its fluctuation and uncertainty. Next, an optimal coordinated dispatching model of a multi-source power system with wind, hydro and thermal power based on the conditional value at risk (CVaR) is established with the target of minimizing the total cost of system dispatching, in which a 72 h pre-dispatching mode is studied to optimize the system operation for 72 h on the day before, on and after the typhoon. Finally, a revised 24-node transmission network system in a coastal area with typhoon is served as a case for demonstrating the effectiveness of the proposed model, and the simulation result shows that the proposed model could take the advantages of the coordination and complementarity of multi-sources power system and decrease the total cost of system dispatching and improve the renewable energy consumption level.