Distributed Optimization, Game and Learning Algorithms : Theory and Applications in Smart Grid Systems / by Huiwei Wang, Huaqing Li, Bo Zhou.

Format:

Book

Author/Creator:

Wang, Huiwei, author.

Zhou, Bo, author.

Li, Huaqing, author.

Language:

English

Subjects (All):

Electric power distribution.

Game theory.

Mathematical optimization.

Energy Grids and Networks.

Game Theory.

Optimization.

Local Subjects:

Energy Grids and Networks.

Game Theory.

Optimization.

Physical Description:

1 online resource (XVII, 217 p. 51 illus., 48 illus. in color.)

Edition:

1st ed. 2021.

Place of Publication:

Singapore : Springer Nature Singapore : Imprint: Springer, 2021.

System Details:

Mode of access: World Wide Web.

Summary:

This book provides the fundamental theory of distributed optimization, game and learning. It includes those working directly in optimization,-and also many other issues like time-varying topology, communication delay, equality or inequality constraints,-and random projections. This book is meant for the researcher and engineer who uses distributed optimization, game and learning theory in fields like dynamic economic dispatch, demand response management and PHEV routing of smart grids.

Contents:

Cooperative Distributed Optimization in Multiagent Networks with Delays

Constrained Consensus of Multi-Agent Systems with Time-Varying Topology

Distributed Optimization under Inequality Constraints and Random Projections

Accelerated Distributed Optimization over Digraphs with Stochastic Matrices

Linear Convergence for Constrained Optimization over Time-Varying Digraphs

Stochastic Gradient-Push for Economic Dispatch on Time-Varying Digraphs

Reinforcement Learning in Energy Trading Game Among Smart Microgrids

Reinforcement Learning for Constrained Games with Incomplete Information

Reinforcement Learning for PHEV Route Choice based on Congestion Game.

Notes:

Includes bibliographical references and index.

ISBN:

981-334-528-4