A new distributed collaborative control for double-layer dynamic optimal scheduling of energy network. (August 2022)

• Record Type: Journal Article
• Authors: Luo, Yanhong; Yuan, Hongbo; Wang, Xinying; Li, Ye; Jing, Jiangping; Da, Tao
• Is Part Of: Energy reports. Volume 8(2022)Supplement 5
• Page Start: 847
• Page End: 856
• Publication Date: 2022-08
• Subjects: Optimal scheduling -- Energy network -- Carbon neutralization -- AGC; Power resources -- Periodicals; Energy industries -- Periodicals; Power resources; Periodicals; Electronic journals; 621.04205
• DOI: 10.1016/j.egyr.2022.02.227
• Languages: English
• ISSNs: 2352-4847

Abstract

Abstract: In this paper, the problem of energy planning in energy network is studied, and an energy optimal scheduling strategy and a dynamic two-layer distributed cooperative control method are proposed. First of all, in the upper layer, the optimal scheduling model of primary energy including renewable energy is designed, and the thermal inertia of heat load is taken into account, which reduces the cost of energy supply, improves the consumption of new energy and promotes carbon neutralization, so that the micro-energy network can operate economically and environmentally friendly. From the point of view of automatic generation control (AGC), the lower layer uses Linear Quadratic Gaussian (LQG) to realize the real-time control of single-area AGC units and ensure the stable operation of the network. Secondly, according to the control deviation of each area, a dynamic stratification strategy is designed, which can not only ensure the effect, but also save resources.