Multi agent system based on law of gravity and fuzzy logic for coalition formation in multi micro-grids environment

Amine, Didi Omar El; Boumhidi, Jaouad

doi:10.1007/s12652-016-0414-z

Cited by 7 publications

(4 citation statements)

References 19 publications

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“…In other words, in this paper, rather than proposing a completely new method, the author's aim is to show that, for different criteria and taking into account a specific objective function for each of the players, users of the proposed structure can make the correct decision in choosing a method. Calculation of MCP [8,11], [16,22], [29][30][31][32]…”

Section: The Structure Of Proposed Algorithmmentioning

confidence: 99%

“…H-MGs, based on renewable technologies, include distributed energy resources, renewable sources, and ES system; the latter can work in two interconnected or detached modes [4][5][6]. Combining H-MGs together to create a local structure allows each H-MG to form a coalition and thereby share the power demand and supply in a co-ordinated manner [7][8][9][10]. This coalition will increase the productivity of renewable equipment along with load response, reliability and, most importantly, energy independence, all of which ultimately reduce the production of pollutants derived from generation units based on fossil fuels [11].…”

Section: Introductionmentioning

confidence: 99%

“…The examination of DR's impact on pollution resulting from generation units and full capabilities of distributed energy resources has not been performed [7][8][9][10][18][19][20][21][25][26][27]29,30,37].…”

mentioning

confidence: 99%

“…No mathematical modeling of DR schemes based on DRE, DRP, and DRPE in an efficient manner, simultaneously, has been implemented [7][8][9][10][18][19][20][21][22]26].…”

mentioning

confidence: 99%

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The Impact of Demand Response Programs on Reducing the Emissions and Cost of A Neighborhood Home Microgrid

et al. 2019

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The desire to increase energy efficiency and reliability of power grids, along with the need for reducing carbon emissions has led to increasing the utilization of Home Micro-grids (H-MGs). In this context, the issue of economic emission dispatch is worthy of consideration, with a view to controlling generation costs and reducing environmental pollution. This paper presents a multi-objective energy management system, with a structure based on demand response (DR) and dynamic pricing (DP). The proposed energy management system (EMS), in addition to decreasing the market clearing price (MCP) and increasing producer profits, has focused on reducing the level of generation units emissions, as well as enhancing utilization of renewable energy units through the DR programs. As a consequence of the nonlinear and discrete nature of the H-MGs, metaheuristic algorithms are applied to find the best possible solution. Moreover, due to the presence of generation units, the Taguchi orthogonal array testing (TOAT) method has been utilized to investigate the uncertainty regarding generation units. In the problem being considered, each H-MG interacts with each other and can negotiate based on their own strategies (reduction of cost or pollution). The obtained results indicate the efficiency of the proposed algorithm, a decrease in emissions and an increase in the profit achieved by each H-MG, by 37% and 10%, respectively.

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Section: The Structure Of Proposed Algorithmmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

mentioning

confidence: 99%

“…No mathematical modeling of DR schemes based on DRE, DRP, and DRPE in an efficient manner, simultaneously, has been implemented [7][8][9][10][18][19][20][21][22]26].…”

mentioning

confidence: 99%

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