Journal Article10.1016/j.apenergy.2023.120737
Robust multi-objective optimization for the Iranian electricity market considering green hydrogen and analyzing the performance of different demand response programs
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TL;DR: In this paper , the authors proposed a framework for decision-making in new electricity markets to join future smart energy systems using hydrogen storage (HS) integrated with PV as a distributed energy resource.
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About: This article is published in Applied Energy. The article was published on 01 Mar 2023. The article focuses on the topics: Electricity & Demand response.
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References
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.
Robust discrete optimization and network flows
Dimitris Bertsimas,Melvyn Sim +1 more
TL;DR: This work proposes a robust integer programming problem of moderately larger size that allows controlling the degree of conservatism of the solution in terms of probabilistic bounds on constraint violation, and proposes an algorithm for robust network flows that solves the robust counterpart by solving a polynomial number of nominal minimum cost flow problems in a modified network.
A summary of demand response in electricity markets
TL;DR: In this article, the authors present a summary of demand response in deregulated electricity markets and highlight the most common indices used for DR measurement and evaluation, and some utilities' experiences with different demand response programs are discussed.
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A Dynamic pricing demand response algorithm for smart grid: Reinforcement learning approach
TL;DR: Simulation results show that this proposed DR algorithm, can promote SP profitability, reduce energy costs for CUs, balance energy supply and demand in the electricity market, and improve the reliability of electric power systems, which can be regarded as a win-win strategy for both SP and CUs.
417
Experimental Validation of a Real-Time Energy Management System Using Multi-Period Gravitational Search Algorithm for Microgrids in Islanded Mode
Mousa Marzband,Mousa Marzband,Majid Ghadimi,Andreas Sumper,Andreas Sumper,Jose Luis Dominguez-Garcia +5 more
TL;DR: In this paper, an optimization method based on gravitational search algorithm was proposed to solve the problem in a MG including different types of distributed generation units with particular attention to the technical constraints, including the implementation of some variation in load consumption model considering accessibility to the energy storage (ES) and demand response (DR).
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