Distributed neurodynamic-based economic dispatch strategy for we-energy

This paper investigates the distributed collaborative energy management of distributed cyber-energy system with consideration of multiple types of coupled energy sources and loads. Firstly, the energy structure of We-Energy (WE) and the characteristics of multi-energy interconversion are studied. With this effort, the concept of general loads are modeled based on transform loss and compensation coefficient, which enables multiple controllable loads interconverting with each other to reduce energy consumption. As a result, the system capacity costs can be greatly reduced. Furthermore, a new fully distributed neurodynamics-based algorithm is proposed to solve the