A new distributed collaborative control for double-layer dynamic optimal scheduling of energy network

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. (c) 2022 The Author(s). Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). Peer-review under responsibility of the scientific committee of the 2021 The 2nd International Conference on Power Engineering, ICPE, 2021.

Automated summary

This paper investigates the problem of energy planning in energy network and proposes an optimal scheduling strategy and a distributed cooperative control method. The proposed approach considers thermal inertia and renewable energy in the energy scheduling model, leading to economical and environmentally friendly operations in micro-energy networks. A real-time control using Linear Quadratic Gaussian (LQG) is used to ensure stable operation, and a dynamic stratification strategy is designed to optimize resource usage.