Power system stochastic optimal dispatch considering thermal and electrical coordination. (September 2019)

• Record Type: Journal Article
• Authors: Fang, Yuchen; Zhao, Shuqiang; Wang, Nan; Li, Zhiwei; Liu, Jinshan
• Is Part Of: International journal of electrical power & energy systems. Volume 110(2019)
• Page Start: 772
• Page End: 780
• Publication Date: 2019-09
• Subjects: Renewable energy -- CHP units -- District heating network -- Stochastic optimization -- Benders decomposition; Electrical engineering -- Periodicals; Electric power systems -- Periodicals; Électrotechnique -- Périodiques; Réseaux électriques (Énergie) -- Périodiques; Electric power systems; Electrical engineering; Periodicals; 621.3
• DOI: 10.1016/j.ijepes.2019.03.065
• Languages: English
• ISSNs: 0142-0615

Abstract

Highlights: A model of district heating network is established in detail. Utilization of the energy storage characteristics of DHN to reduce wind curtailment. We establish a thermal and electrical coordination stochastic optimal dispatch model. We use Benders decomposition algorithm to solve the model. The energy storage characteristics of the DHN is quantitatively analyzed. Abstract: The strong coupling between heating supply and power generation in heat and power (CHP) units limits their consumption of wind power and lacks the necessary flexibility. Based on the theory of heat transfer, this paper considers the temperature loss and energy storage characteristics on the transmission side to establish a stochastic optimal dispatch model of considering thermal and electrical coordination. Utilization of the energy storage characteristics of the district heating network (DHN) to reduce the wind power curtailment and accommodate variable wind power. Benders decomposition algorithm is used to solve the model and improve the efficiency of the solution. Finally, the effectiveness of the proposed model and algorithm was verified by a thermal/electrical system example, and the energy storage characteristics of the DHN were quantitatively analyzed.