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Journal ArticleDOI

Consensus-Based Energy Management in Smart Grid With Transmission Losses and Directed Communication

TLDR
A consensus-based algorithm is designed to solve the problem of distributed energy management for both generation and demand side in smart grid by taking transmission losses into account and it is proved the convergence and optimality of the proposed algorithm is achieved.
Abstract
This paper investigates the problem of distributed energy management for both generation and demand side in smart grid. Different from existing works, we formulate a social welfare maximization problem for a more practical scenario by taking transmission losses into account. The formulated problem is non-convex due to the non-convexity of the power balance equality constraint caused by the transmission losses. To solve the problem, we first transform the equality constraint into an inequality constraint and obtain a new convex optimization problem. We then derive a sufficient condition to guarantee that the new problem has the same solution as the original one. Because of the coupling in the constraint, Lagrange duality method is adopted to decompose the problem. Considering the general communication topology among generators and demands, i.e., directed connected topology, we design a consensus-based algorithm to solve the problem in a distributed way. We also prove the convergence and optimality of the proposed algorithm, under which the social welfare maximization is achieved. Extensive simulations validate the theoretical results and demonstrate the effectiveness of the proposed algorithm.

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Citations
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Journal ArticleDOI

Consensus-Based Dispatch Optimization of a Microgrid Considering Meta-Heuristic-Based Demand Response Scheduling and Network Packet Loss Characterization

TL;DR: In this article , a consensus-based distributed algorithm is proposed for solving the complex energy management problem in micro-grids, which leverages the virulence optimization algorithm and the earthworm optimization algorithm to optimally shift the energy consumption during peak periods to lower-priced off-peak hours.
Journal ArticleDOI

Distributed economic dispatch method for power system based on consensus

TL;DR: The key links in the process of solving economic dispatch problem are summarised, and the advantages and disadvantages of the existing distributed economic dispatch algorithm are reviewed.
Journal ArticleDOI

Noncooperative Social Welfare Optimization With Resiliency Against Network Anomaly

TL;DR: A noncooperative game-theoretic framework to model the social welfare optimization (SWO) problem with load aggregators participating in integrated economic dispatch and demand response and has guaranteed convergence to a Nash equilibrium that is also a global optimizer is presented.
Journal ArticleDOI

Computation-Efficient Distributed Algorithm for Convex Optimization Over Time-Varying Networks With Limited Bandwidth Communication

TL;DR: A novel computation-efficient quantized distributed optimization algorithm is presented in this article for solving a class of convex optimization problems over time-varying undirected networks with limited communication capacity.
Journal ArticleDOI

Stochastic Electricity Social Welfare Enhancement Based on Consensus Neighbor Virtualization

TL;DR: The neighbor virtualization concept is employed to improve the system performance by introducing a novel communication structure for distributed algorithms to handle the energy management problem in the smart grids in the presence of dispatchable loads and distributed generators.
References
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Book

Convex Optimization

TL;DR: In this article, the focus is on recognizing convex optimization problems and then finding the most appropriate technique for solving them, and a comprehensive introduction to the subject is given. But the focus of this book is not on the optimization problem itself, but on the problem of finding the appropriate technique to solve it.
Journal ArticleDOI

Consensus and Cooperation in Networked Multi-Agent Systems

TL;DR: A theoretical framework for analysis of consensus algorithms for multi-agent networked systems with an emphasis on the role of directed information flow, robustness to changes in network topology due to link/node failures, time-delays, and performance guarantees is provided.
Book

Power Generation, Operation, and Control

TL;DR: In this paper, the authors present a graduate-level text in electric power engineering as regards to planning, operating, and controlling large scale power generation and transmission systems, including characteristics of power generation units, transmission losses, generation with limited energy supply, control of generation, and power system security.
Journal ArticleDOI

Consensus seeking in multiagent systems under dynamically changing interaction topologies

TL;DR: It is shown that information consensus under dynamically changing interaction topologies can be achieved asymptotically if the union of the directed interaction graphs have a spanning tree frequently enough as the system evolves.
Journal ArticleDOI

Autonomous Demand-Side Management Based on Game-Theoretic Energy Consumption Scheduling for the Future Smart Grid

TL;DR: This paper presents an autonomous and distributed demand-side energy management system among users that takes advantage of a two-way digital communication infrastructure which is envisioned in the future smart grid.
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