A neurodynamic-based distributed energy management approach for integrated local energy systems

摘要

This paper investigates the distributed energy management problem of integrated local energy systems (ILESs). Firstly, this paper proposes a non-convex energy management model of ILES, which considers transmission loss between multi-energy devices and treats the ILES component units (including demand response) as independent decision-making entities. Secondly, we propose a neurodynamic-based optimization algorithm to solve the problem, which can properly handle with the inseparable inequality constraint. The proposed distributed neurodynamic-based algorithm only requires the information exchange among neighbor nodes and offers less computation, lower communication burden and faster convergence compared with some traditional centralized methods. Finally, two simulation results are provided to illustrate the effectiveness of the proposed approach.