A mathematical model for the optimal operation of the University of Genoa Smart Polygeneration Microgrid: Evaluation of technical, economic and environmental performance indicators

Bracco, Stefano; Delfino, Federico; Pampararo, Fabio; Robba, Michela; Rossi, Mansueto

doi:10.1016/j.energy.2013.10.039

Cited by 93 publications

(45 citation statements)

References 36 publications

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“…The cooperative game theoretic methodology developed in this paper has laid a foundation for future studies to (i) including both the cost of supplying thermal and electrical loads to include the efficiency gains from combined heat and power systems in microgrids [19], (ii) including probabilistic models to account for the cost of meeting demand with a certain degree of reliability [20,21], and (iii) assessing different coalition formation algorithms (e.g., bilateral programming or auction mechanisms) for the energy exchange between micro-and utility grids.…”

Section: Resultsmentioning

confidence: 99%

Shapley Value-Based Payment Calculation for Energy Exchange between Micro- and Utility Grids

Pilling

Chang

Luh

2017

Games

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Abstract:In recent years, microgrids have developed as important parts of power systems and have provided affordable, reliable, and sustainable supplies of electricity. Each microgrid is managed as a single controllable entity with respect to the existing power system but demands for joint operation and sharing the benefits between a microgrid and its hosting utility. This paper is focused on the joint operation of a microgrid and its hosting utility, which cooperatively minimize daily generation costs through energy exchange, and presents a payment calculation scheme for power transactions based on a fair allocation of reduced generation costs. To fairly compensate for energy exchange between the micro-and utility grids, we adopt the cooperative game theoretic solution concept of Shapley value. We design a case study for a fictitious interconnection model between the Mueller microgrid in Austin, Texas and the utility grid in Taiwan. Our case study shows that when compared to standalone generations, both the micro-and utility grids are better off when they collaborate in power exchange regardless of their individual contributions to the power exchange coalition.

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Section: Resultsmentioning

confidence: 99%

Shapley Value-Based Payment Calculation for Energy Exchange between Micro- and Utility Grids

Pilling

Chang

Luh

2017

Games

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“…EPI merefleksikan efisiensi lingkungan dari sebuah proses produksi yang melibatkan jumlah input dan output [4]. Karakter-karakter EPI yaitu (a) relevansi, (b) keakuratan analisis, (c) dapat diukur (measurebility), dan (d) dapat dibandingkan (comparability) [5]. Perhitungan indeks EPI dilakukan dengan mengalikan nilai penyimpangan antara standar BAPEDAL dengan hasil analisis perusahaan dengan bobot dari masing-masing kriteria limbah yang diperoleh melalui penyebaran kuisioner [6].…”

Section: Perhitungan Environmental Performance Indicator (Epi)unclassified

Analisis Kinerja Lingkungan Dan Produktivitas Dengan Menggunakan Konsep Green And Lean Productivity

Hakim¹,

Mubin²

2017

JTI

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“…Although some work has already been done on this argument (e.g. the same [4]), the problem is still an open topic. In this paper, we present an algorithm that, considering an estimated power request profile, together with nondispatchable production prediction and temperature forecast, is capable to produce a day-ahead optimal energy exchange with the network and the corresponding setpoints for the microgrid devices.…”

Section: Introductionmentioning

confidence: 99%

“…[1], [2]) and testified by the continuously growing interest of research on such topic (e.g. [3], [4] and references therein). These considerations are all the more true when thermal power generation is taken into account as well.…”

Section: Introductionmentioning

confidence: 99%

Thermal and energy production optimization in microgrids with Model Predictive Control

Cominesi¹,

Corno²,

Corsetti³

et al. 2016

REPQJ

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Abstract. This paper presents an algorithm for the management of electrical and thermal power production in microgrids connected to the utility grid and subject to uncertainties in both load requests and non-dispatchable generation. The suggested procedure allows, on one hand, to obtain the dayahead setpoint profiles for the microgrid devices, resulting in the economic optimal power exchange with the grid. On the other hand, it supplies a suitable method to refine such setpoint profiles, during the daily execution, in order to cope with unpredicted behaviours of the system. A formulation of the algorithm for a possible case study is given and simulation results are illustrated in the final part of the work.

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A mathematical model for the optimal operation of the University of Genoa Smart Polygeneration Microgrid: Evaluation of technical, economic and environmental performance indicators

Cited by 93 publications

References 36 publications

Shapley Value-Based Payment Calculation for Energy Exchange between Micro- and Utility Grids

Shapley Value-Based Payment Calculation for Energy Exchange between Micro- and Utility Grids

Analisis Kinerja Lingkungan Dan Produktivitas Dengan Menggunakan Konsep Green And Lean Productivity

Thermal and energy production optimization in microgrids with Model Predictive Control

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