Special Issue "Game Theoretic Strategies for Efficient Energy Management of Home-Microgrids"

A special issue of Sustainability (ISSN 2071-1050). This special issue belongs to the section "Energy Sustainability".

Deadline for manuscript submissions: closed (30 June 2020).

Special Issue Editor

Dr. Mousa Marzband
grade E-Mail Website
Guest Editor
Department: Mathematics, Physics and Electrical Engineering, Northumbria University, Newcastle upon Tyne, Newcastle NE1 8QH, UK
Interests: smart grids; scheduling; active distribution networks
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Special Issue Information

Dear Colleagues,

Nowadays, Home-Microgrids (H-MGs) or smart green buildings are considered as a credible alternative to conventional buildings, as they are very efficient and environmentally friendly. H-MGs having storage devices, smart home appliances, and distributed generations such as wind turbines and solar panels improve dramatically the stability of the electricity markets. One of the most important reasons for utilizing the H-MGs is to help boost network performance, maximize the use of distributed generations, and reduce H-MGs' owners' costs. It is worth mentioning that the H-MGs' owners, as rational agents, always try to reach more profit or lessen their costs as much as possible. However, the energy management of H-MGs faces serious challenges. For example, when is the best time to use smart home appliances and storage devices to reduce costs? Who is the most profitable buyer/seller to sell/purchase the energy during power surplus/shortages? and so on.

This Special Issue focuses on proposing an efficient energy management system in the form of incentive demand-side-management (DSM) and demand response schemes. Moreover, due to the presence of rational and smart agents (H-MGs' owners), the game-theoretic approaches including cooperative and non-cooperative can be applied as a promising solution. In fact, game theory applications would overcome existing challenges. It offers dynamically the best strategy to each agent such as the best time of purchasing and selling energy shortage and surplus, respectively. All in all, an efficient energy management system leads to reaching an overall equilibrium point (the most profitable situation for each H-MGs).

The main objectives of the research are:

  • An efficient energy management system according to day ahead and long-term scheduling to maximize the use of renewable resources and minimize the H-MGs costs.
  • Introducing the incentive mechanisms in order to maximize the participation of H-MGs in demand response schemes.
  • Reaching the collective utilities for stakeholders (H-MGs, network operator, retailers, and etc.), and thereby achieving the overall network equilibrium.

Dr. Mousa Marzband
Guest Editor

Manuscript Submission Information

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Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1900 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • game theory
  • mathematical modelling of energy system
  • optimization methods
  • demand side management
  • microgrids

Published Papers (1 paper)

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Research

Article
Production Sustainability via Supermarket Location Optimization in Assembly Lines
Sustainability 2020, 12(11), 4728; https://doi.org/10.3390/su12114728 - 09 Jun 2020
Cited by 3 | Viewed by 1244
Abstract
Manufacturers worldwide are nowadays in pursuit of sustainability. In the Industry 4.0 era, it is a common practice to implement decentralized logistics areas, known as supermarkets, to achieve production sustainability via Just-in-Time material delivery at assembly lines. In this environment, manufacturers are commonly [...] Read more.
Manufacturers worldwide are nowadays in pursuit of sustainability. In the Industry 4.0 era, it is a common practice to implement decentralized logistics areas, known as supermarkets, to achieve production sustainability via Just-in-Time material delivery at assembly lines. In this environment, manufacturers are commonly struggling with the Supermarket Location Problem (SLP), striving to efficiently decide on the number and location of supermarkets to minimize the logistics cost. To address this prevalent issue, this paper proposed a Simulated Annealing (SA) algorithm for minimizing the supermarket cost, via optimally locating supermarkets in assembly lines. The efficiency of the SA algorithm was tested by solving a set of test problems. In doing so, a holistic performance index, namely the total cost of supermarkets, was developed that included both shipment cost and the installation cost across the assembly line. The effect of workload balancing on the supermarket cost was also investigated in this study. For this purpose, the SLP was solved both before and after balancing the workload. The results of the comparison revealed that workload balancing could significantly reduce the total supermarket cost and contribute to the overall production and economic sustainability. It was also observed that the optimization of material shipment cost across the assembly line is the most influencing factor in reducing the total supermarket cost. Full article
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