Synergies among multiple energy sectors in an integrated electricity and heat system (IEHS)
improve energy efficiency, economic operation and renewable energy utilization, thus …

With the development of big data and artificial intelligence, distributed optimization has
emerged as an indispensable tool for solving large-scale problems. In particular, the multi …

Traditional centralized optimization and management schemes may be incompatible with a
changing energy system whose structure is becoming increasingly distributed. This …

This article is concerned with the distributed secondary frequency and voltage control for
islanded microgrids. First, the distributed secondary control problem is formulated by taking …

Distributed optimization algorithms for security-constrained economic dispatch (SCED)
problems have been the subject of significant research interest in recent years. However …

In this paper, we propose an event-triggered collaborative neurodynamic approach to
distributed global optimization in the presence of nonconvexity. We design a projection …

In this article, we present a collaborative neurodynamic approach to distributed optimization
with nonconvex functions. We develop a recurrent neural network (RNN) group by …

In this article, a discrete-time distributed optimization algorithm is proposed for solving the
economic dispatch (ED) problem with some groups of generator units to communicate over …

A nonconvex distributed optimization problem involving nonconvex objective functions and
inequality constraints within an undirected multi-agent network is considered. Each agent …

In the interaction between electric vehicle (EV) and grid, research on the coordinated
optimization of different EV aggregators to reduce the adverse effect of EVs uncertainty is of …