The evolution of power generation systems, along with their related increase in complexity,
led to the critical necessity of Wide-Area Monitoring, Protection, and Control (WAMPAC) …

This paper reviews distributed/decentralized algorithms to solve the optimal power flow
(OPF) problem in electric power systems. Six decomposition coordination algorithms are …

This paper concerns a novel optimal self-learning battery sequential control scheme for
smart home energy systems. The main idea is to use the adaptive dynamic programming U+ …

In this paper, a novel iterative adaptive dynamic programming (ADP)-based infinite horizon
self-learning optimal control algorithm, called generalized policy iteration algorithm, is …

In this brief, an optimal control scheme based on adaptive dynamic programming (ADP) is
developed to solve infinite-horizon optimal control problems of continuous-time complex …

In this paper, a new optimal distributed synchronization control scheme for the consensus
problem of heterogeneous multi-agent differential graphical games is developed by iterative …

Interarea oscillation is one of the main challenges for the secure and stable operation of a
large-scale interconnected power system. To address this problem, this paper presents an …

Rising concerns about the efficiency, reliability, economics, and sustainability in electricity
production and distribution have been driving an evolution of the traditional electric power …

This paper proposes a tri-level adaptive robust AC optimal power flow (AR-ACOPF) model
incorporating wind units. The uncertain wind power production as well as the system …

The emergence of smart grids has posed great challenges to traditional power system
control given the multitude of new risk factors. This paper proposes an online supplementary …