Journal ArticleDOI
Optimal energy management for multi-microgrid considering demand response programs: A stochastic multi-objective framework
Hamid Karimi,Shahram Jadid +1 more
TLDR
The Independence Performance Index (IPI) is introduced for the MGs to reduce energy exchange with the main grid and improve system losses, voltage drop, and greenhouse gas emissions.About:
This article is published in Energy.The article was published on 2020-03-15. It has received 128 citations till now. The article focuses on the topics: Stochastic optimization & Microgrid.read more
Citations
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Journal ArticleDOI
Stochastic energy management of smart microgrid with intermittent renewable energy resources in electricity market
TL;DR: A stochastic energy management algorithm is proposed to address the participation of smart MGs in the electricity market, which minimizes the total cost and finds the optimal size of different components, including WT, PV unit, fuel cell, Electrolyzer, battery, and microturbine.
Journal ArticleDOI
Robust optimization of microgrid based on renewable distributed power generation and load demand uncertainty
Jun Yang,Changqi Su +1 more
TL;DR: The simulation results show that the robustness of the system can be achieved by solving the robust adjustment parameters, meanwhile the operating cost can be reduced as much as possible no matter in the buying electricity scenario or in the selling electricity scenario.
Journal ArticleDOI
A Risk-Averse Hybrid Approach for Optimal Participation of Power-to-Hydrogen Technology-Based Multi-Energy Microgrid in Multi-Energy Markets
Amin Mansour-Saatloo,Mohammad Amin Mirzaei,Behnam Mohammadi-Ivatloo,Behnam Mohammadi-Ivatloo,Kazem Zare +4 more
TL;DR: A novel hybrid robust-stochastic approach is proposed to deal with the uncertainty of wind speed and electricity price fluctuations, which enables the operator to use the advantages of both scenario-based stochastic and robust optimization methods simultaneously to handle such uncertainties.
Journal ArticleDOI
Optimal planning and operation of multi-carrier networked microgrids considering multi-energy hubs in distribution networks
TL;DR: A new scheme for designing multi-carrier networked microgrids to operate the integrated hubs with minimum cost, meet the consumer’s required energies, reduce the emissions, and create a bi-directional interaction between electricity, and gas networks using power to gas converters is proposed.
Journal ArticleDOI
Decentralized Bi-Level stochastic optimization approach for multi-agent multi-energy networked micro-grids with multi-energy storage technologies
TL;DR: In this article , a decentralized bi-level stochastic optimization approach based on the progressive hedging algorithm for multi-agent systems (MAS) in multi-energy micro-grids (MEMGs) to enhance network flexibility is presented.
References
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Min–max and min–max regret versions of combinatorial optimization problems: A survey
TL;DR: This work surveys complexity results for the min-max and min- max regret versions of some combinatorial optimization problems: shortest path, spanning tree, assignment, min cut, min s-t cut, knapsack, and investigates the approximability of these problems.
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Review: Multi-objective optimization methods and application in energy saving
Yunfei Cui,Yunfei Cui,Zhiqiang Geng,Zhiqiang Geng,Qunxiong Zhu,Qunxiong Zhu,Yongming Han,Yongming Han +7 more
TL;DR: In order to get the final optimal solution in the real-world multi-objective optimization problems, trade-off methods including a priori methods, interactive methods, Pareto-dominated methods and new dominance methods are utilized.
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A Multiagent-Based Hierarchical Energy Management Strategy for Multi-Microgrids Considering Adjustable Power and Demand Response
TL;DR: A multistep hierarchical optimization algorithm based on a multiagent system is proposed in this paper, easy to implement and computationally inexpensive mixed integer linear programming models are developed for each step.
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A survey of game-theoretic models of cooperative advertising ☆
TL;DR: The paper surveys the literature on cooperative advertising in marketing channels (supply chains) using game theoretic methods and finds that this literature has expanded considerably and has studied static as well as dynamic settings.
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Bargaining framework for competitive green supply chains under governmental financial intervention
TL;DR: In this paper, the authors investigated the problem of negotiations between producers and reverse-logistics suppliers for cooperative agreements under government intervention and found that financial intervention by a government generates a significant effect on the relative bargaining power of green supply chain members in negotiations.