Journal ArticleDOI
Decentralized Reactive Power Compensation Using Nash Bargaining Solution
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Numerical results show that both the electric utility company and users benefit from the proposed decentralized reactive power compensation mechanism, and the overall system efficiency is improved.Abstract:
We consider a distributed reactive power compensation problem in a distribution network in which users locally generate reactive power using distributed generation units to contribute to the local voltage control. We model and analyze the interaction between one electric utility company and multiple users by using the Nash bargaining theory. On one hand, users determine the amount of active and reactive power generation for their distributed generation units. On the other hand, the electric utility company offers reimbursement for each user based on the amount of reactive power dispatched by that user. We first quantify the benefit for the electric utility company and users in the reactive power compensation problem. Then we derive the optimal solution for the active and reactive power generation, as well as reimbursement for each user under two different bargaining protocols, namely sequential bargaining and concurrent bargaining. Numerical results show that both the electric utility company and users benefit from the proposed decentralized reactive power compensation mechanism, and the overall system efficiency is improved.read more
Citations
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Journal ArticleDOI
Toward Distributed/Decentralized DC Optimal Power Flow Implementation in Future Electric Power Systems
Amin Kargarian,Javad Mohammadi,Junyao Guo,Sambuddha Chakrabarti,Masoud Barati,Gabriela Hug,Soummya Kar,Ross Baldick +7 more
TL;DR: Six decomposition coordination algorithms are studied, including analytical target cascading, optimality condition decomposition, alternating direction method of multipliers, auxiliary problem principle, consensus+innovations, and proximal message passing to solve the optimal power flow (OPF) problem in electric power systems.
Journal ArticleDOI
On the Interaction Between Aggregators, Electricity Markets and Residential Demand Response Providers
TL;DR: In this paper, the authors study the strategic interactions between an aggregator, its consumers and the day-ahead electricity market using a bilevel optimization framework, where the aggregator-consumer interaction is captured either as a Stackelberg or a Nash Bargaining Game, leveraging chance-constrained programming to model limited controllability of residential DR loads.
Journal ArticleDOI
Participation of an Energy Storage Aggregator in Electricity Markets
TL;DR: It is shown that a profit-seeking energy storage aggregator is always beneficial to the system when compared to a system without storage, regardless of size or market power the aggregator may have, and proposes a pricing scheme designed to mitigate market power abuse by the aggregators.
Proceedings ArticleDOI
Recent advances in computational methods for the power flow equations
TL;DR: Three emerging methods are focused on: the numerical polynomial homotopy continuation method, Gröbner basis techniques, and moment/sum-of-squares relaxations using semidefinite programming.
Journal ArticleDOI
Incentive Mechanism Design for Integrated Microgrids in Peak Ramp Minimization Problem
TL;DR: An incentive mechanism design to motivate microgrids to participate in the peak ramp minimization problem for the system by offering reimbursement for each microgrid to deviate from the original optimal operation point, the ramping capability requirement to match supply demand can be significantly reduced.
References
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Network reconfiguration in distribution systems for loss reduction and load balancing
Mesut E. Baran,Felix F. Wu +1 more
TL;DR: Accuracy analysis and the test results show that estimation methods can be used in searches to reconfigure a given system even if the system is not well compensated and reconfiguring involves load transfer between different substations.
Journal ArticleDOI
Autonomous Demand-Side Management Based on Game-Theoretic Energy Consumption Scheduling for the Future Smart Grid
Amir-Hamed Mohsenian-Rad,Vincent W. S. Wong,Juri Jatskevich,Robert Schober,Alberto Leon-Garcia +4 more
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.
Journal ArticleDOI
Smart Grid — The New and Improved Power Grid: A Survey
TL;DR: In this paper, the authors survey the literature till 2011 on the enabling technologies for the Smart Grid and explore three major systems, namely the smart infrastructure system, the smart management system, and the smart protection system.
Smart Grid - The New and Improved Power Grid:
TL;DR: This article surveys the literature till 2011 on the enabling technologies for the Smart Grid, and explores three major systems, namely the smart infrastructure system, the smart management system, and the smart protection system.
Book
Game Theory in Wireless and Communication Networks: Theory, Models, and Applications
TL;DR: This unified treatment of game theory focuses on finding state-of-the-art solutions to issues surrounding the next generation of wireless and communications networks and covers a wide range of techniques for modeling, designing and analysing communication networks using game theory, as well as state of theart distributed design techniques.