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In this paper, we establish a dynamic game to allocate CSR (Corporate Social Responsibility) to the members of a supply chain. We propose a model of three-tier supply chain in decentralized state that is including supplier, manufacturer and…

Optimization and Control · Mathematics 2015-03-17 Mehrnoosh Khademi , Massimiliano Ferrara , Bruno Pansera , Mehdi Salimi

Electric storage units constitute a key element in the emerging smart grid system. In this paper, the interactions and energy trading decisions of a number of geographically distributed storage units are studied using a novel framework…

Computer Science and Game Theory · Computer Science 2013-10-08 Yunpeng Wang , Walid Saad , Zhu Han , H. Vincent Poor , Tamer Başar

This paper, by comparing three potential energy trading systems, studies the feasibility of integrating a community energy storage (CES) device with consumer-owned photovoltaic (PV) systems for demand-side management of a residential…

Computer Science and Game Theory · Computer Science 2017-01-26 Chathurika P. Mediwaththe , Edward R. Stephens , David B. Smith , Anirban Mahanti

In this paper, we establish a dynamic game to allocate CSR (Corporate Social Responsibility) to the members of a supply chain. We propose a model of a three-tier supply chain in a decentralized state which includes a supplier, a…

Optimization and Control · Mathematics 2015-06-23 Mehrnoosh Khademi , Massimiliano Ferrara , Mehdi Salimi , Somayeh Sharifi

This paper investigates the feasibility of using a discriminate pricing scheme to offset the inconvenience that is experienced by an energy user (EU) in trading its energy with an energy controller in smart grid. The main objective is to…

Systems and Control · Computer Science 2014-07-23 Wayes Tushar , Chau Yuen , Bo Chai , David B. Smith , H. Vincent Poor

One of the most important goals of the 21st century is to change radically the way our society produces and distributes energy. This broad objective embodies in the smart grid's futuristic vision of a completely decentralized system powered…

Systems and Control · Computer Science 2013-05-20 Nicolas Gensollen , Vincent Gauthier , Michel Marot , Monique Becker

In this paper, we propose a model of decentralized energy storages, who serve as instruments to shift energy supply intertemporally. From storages' perspective, we investigate their optimal buying or selling decisions under market…

Optimization and Control · Mathematics 2017-02-27 Qiao-Chu He , Yun Yang , Baosen Zhang

There is an intrinsic value in higher integration of multi-carrier energy systems (especially gas and electricity), to increase operational flexibility in the electricity system and to improve allocation of resources in gas and electricity…

Optimization and Control · Mathematics 2021-01-05 Shahab Shariat Torbaghan , Mehdi Madani , Peter Sels , Ana Virag , Hélène Le Cadre , Kris Kessels , Yuting Mou

An existing challenge in power systems is the implementation of optimal demand management through dynamic pricing. This paper encompasses the design, analysis and implementation of a novel on-line pricing scheme based on coalitional game…

Optimization and Control · Mathematics 2024-07-16 Fernando Genis Mendoza , Pablo R Baldivieso Monasterios , Dario Bauso , George Konstantopoulos

Electric vehicle (EV) charging stations have experienced rapid growth, whose impacts on the power grid have become non-negligible. Though charging stations can install energy storage to reduce their impacts on the grid, the conventional…

Systems and Control · Electrical Eng. & Systems 2023-03-21 Dongxiang Yan , Yue Chen

The recent rise of renewable energy produced by many decentralized sources yields interesting market design challenges for electrical grids. Balancing supply and demand in such networks is both a temporal and spatial challenge due to…

Computer Science and Game Theory · Computer Science 2025-08-11 Simon Krogmann , Pascal Lenzner , Alexander Skopalik , Tobias Sträubig

This study delves into the shift from centralized to decentralized approaches in the electricity industry, with a particular focus on how machine learning (ML) advancements play a crucial role in empowering renewable energy sources and…

Machine Learning · Computer Science 2023-10-25 Mohammad Mohammadi , Ali Mohammadi

In this paper, the interactions and energy exchange decisions of a number of geographically distributed storage units are studied under decision-making involving end-users. In particular, a noncooperative game is formulated between…

Computer Science and Game Theory · Computer Science 2014-03-06 Yunpeng Wang , Walid Saad , Narayan B. Mandayam , H. Vincent Poor

Aggregators of distributed energy resources are increasingly encouraged to participate in wholesale market bidding. However, the delivery of the power they are awarded can result in over-voltage or congestion issues within the distribution…

Systems and Control · Electrical Eng. & Systems 2024-11-19 Congcong Liu , Zhengshuo Li

One of the most important challenges in the integration of renewable energy sources into the power grid lies in their `intermittent' nature. The power output of sources like wind and solar varies with time and location due to factors that…

Systems and Control · Computer Science 2011-10-21 Yashodhan Kanoria , Andrea Montanari , David Tse , Baosen Zhang

New connection constraints for the power network (Grid Codes) require more flexible and reliable systems, with robust solutions to cope with uncertainties and intermittence from renewable energy sources (renewables), such as photovoltaic…

Optimization and Control · Mathematics 2016-08-04 Alessio Iovine , Sabah Benamane Siad , Gilney Damm , Elena De Santis , Maria Domenica Di Benedetto

The high variability of renewable energy resources presents significant challenges to the operation of the electric power grid. Conventional generators can be used to mitigate this variability but are costly to operate and produce carbon…

Optimization and Control · Mathematics 2012-04-13 Han-I Su , Abbas El Gamal

In this work, a novel Stackelberg game theoretic framework is proposed for trading energy bidirectionally between the demand-response (DR) aggregator and the prosumers. This formulation allows for flexible energy arbitrage and additional…

Machine Learning · Computer Science 2024-10-28 Styliani I. Kampezidou , Justin Romberg , Kyriakos G. Vamvoudakis , Dimitri N. Mavris

Utilizing distributed renewable and energy storage resources in local distribution networks via peer-to-peer (P2P) energy trading has long been touted as a solution to improve energy systems' resilience and sustainability. Consumers and…

Systems and Control · Electrical Eng. & Systems 2024-10-10 Chen Feng , Andrew L. Liu

This paper presents models for renewable energy systems with storage, and considers its optimal operation. We model and simulate wind and solar power production using stochastic differential equations as well as storage of the produced…

Optimization and Control · Mathematics 2022-12-20 Nicola Cantisani , Tobias K. S. Ritschel , Christian A. Thilker , Henrik Madsen , John Bagterp Jørgensen