An Optimization Model for Efficient Energy Exchange in Energy Communities

Giordano, Andrea; Mastroianni, Carlo; Scarcello, Luigi; Spezzano, Giandomenico

doi:10.1109/fmec49853.2020.9144901

Cited by 15 publications

(13 citation statements)

References 9 publications

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“…As anticipated in the introductory section, in [5] , [6] we presented and evaluated an optimization model, namely the Unified model, which is able to integrate the needs and constraints of all the users of a community. The main features of the Unified model are: (i) the optimal solution minimizes the energy cost of the community as a whole; (ii) the fraction of self-consumption i.e., of the amount of energy that is produced and consumed locally, is maximized; (iii) the peaks of power demand are shaved when possible.…”

Section: Related Workmentioning

confidence: 99%

“…In [5] , [6] , we presented a model for the efficient management of energy in a prosumer community, the “Unified model”. With this model, prosumers are not modeled separately, instead, a unique model is developed for an entire prosumer community group, with the goal of maximizing the energy sharing and balance the energy consumption at the community level.…”

Section: Introductionmentioning

confidence: 99%

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Cascade computing model to optimize energy exchanges in prosumer communities

Scarcello

Giordano

Mastroianni

et al. 2022

Heliyon

Self Cite

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Recently, the increasing availability of renewable energy plants has changed the market of electrical energy. The concept of energy community enables prosumers to exploit and exchange the energy produced locally and reduce the need for external energy sources. This can help to obtain significant cost savings and increase the percentage of green energy. In this paper, we present the Cascade model, which aims to achieve a twofold goal: compute an energy schedule that satisfies the needs of single prosumers, and maximize the energy sharing at the community level, thus minimizing the overall cost. The Cascade model partitions the prosumers in groups: at each step, an optimization problem is solved for all the users of a group. The solution enables defining a super-user that summarizes the energy requirements of the groups considered before. Then, a new group is considered in the next step, and so on, until all the groups have been processed. This approach enables preventing the exponential increase in computing complexity that is inevitable when all the prosumers are considered together, using the model referred to as Unified. Experimental results show that the Cascade model leads to a great reduction of computing time, while the overall cost closely approximates the optimal solution ensured by the Unified model.

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Section: Related Workmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Cascade computing model to optimize energy exchanges in prosumer communities

Scarcello

Giordano

Mastroianni

et al. 2022

Heliyon

Self Cite

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show abstract

“…In [10], the authors propose an MILP optimization approach to determine the best allocation and dispatch of distributed energy resources for an energy community, while respecting electrical grid operational constraints. In [12,13], the authors present an optimization model for the energy management in a prosumer community, referred to as Unified model. The Unified model exploits an MILP problem, solved with the Branch and Bound algorithm, which takes into account the energy needs of all the prosumers and optimizes energy sharing at the community level.…”

Section: Related Workmentioning

confidence: 99%

“…There are numerous approaches to achieving these objectives, mainly based on the solution of a Mixed Integer Linear Programming (MILP) problem, where the objective is the minimization of a cost function (it can be the monetary cost or the total energy consumption), and the constraints are given by the balances of energy on the prosumers and by their requirements. The main limitation of the existing MILP models, for example, those proposed in [7][8][9][10][11][12][13], is that they are not fully scalable. The amount of memory required to solve the prosumer problem increases quadratically with the number of prosumers, since the problem is represented by a matrix in which the rows are the constraints and the columns are the involved variables, and both increase linearly.…”

Section: Introductionmentioning

confidence: 99%

Edge Computing Parallel Approach for Efficient Energy Sharing in a Prosumer Community

2022

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The transition towards more sustainable energy management can be supported by the diffusion of energy communities, i.e., coalitions of prosumers that are willing to exchange the energy produced locally. The optimization of energy management requires the solution of a prosumer problem that can become impractical when the number of users increases. This paper presents a parallel approach, based on an edge computing architecture, which is suitable for large communities. The users are partitioned into groups whose proportions, in terms of producers and consumers, mirror the composition of the whole community. The prosumer problems for the different groups are first solved separately and in parallel by local edge nodes. Then, the solutions are combined by a central entity to redistribute the energy among the groups and minimize the exchange of energy with the external grid. A set of experiments show that the parallel approach, when compared with an approach that solves the optimization problem in a single stage, leads to a notable reduction of computing resources, and becomes feasible in large communities for which the single-stage approach is impossible. Moreover, the achieved solution is close to the optimal solution in terms of energy costs.

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“…Capaccioli, 2016 [20] x Cardoso, 2019 [21] x x x x x Cejka, 2020 [22] x x x x Chen, 2015 [23] x x x x Cheng, 2020 [24] x x x x x x Chis, 2019 [25] x x x x Chis, 2016 [26] x x x x x x Crespo-Vazquez, 2021 [27] x x x Cruz, 2019 [28] x x x Cui, 2020 [29] x x x x De Villena, 2020 [30] x x x Faia, 2021 [31] x x x Fazeli, 2011 [32] x x x x x Fouad, 2020 [33] x x x Giordano, 2020 [34] x Zhong, 2020 [70] x x Zou, 2020 [71] x x x 0 0000 0. Jahrgang the EC umbrella but not being defined by any of the papers using them.…”

Section: Fig 4 Classification Of Papers By Terminology Used To Refer To An Energy Communitymentioning

confidence: 99%

The current state of research on energy communities

Gruber

Bachhiesl

Wogrin

2021

Elektrotech. Inftech.

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The introduction of the Clean energy for all Europeans package by the European Union (EU) led to a significant boost of public and research interest in energy communities. However, since neither their definition nor their goals are clearly defined, there is a very broad field of research on this topic. This paper aims to classify existing research on energy communities and to analyze what this umbrella term looks like in the literature. First, a literature review is conducted with regard to energy communities that have a local scope and are community-owned. The analysis of the results leads to the determination of the following categories for the existing literature on energy communities: the terminology used to refer to energy communities, components of energy communities, and their characteristics and structure. The review affirms that space-saving and easily constructible components are used the most, with photovoltaics (PV) and storage at the forefront. Our results also show that a third-party aggregator can be a vital part of an energy community with various functions, from managing the community’s energy flow and local market to trading energy with the grid. Taking this into consideration, we conclude that the use of aggregators is a good way to make the formation of energy communities easier, especially for people without an engineering background.

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An Optimization Model for Efficient Energy Exchange in Energy Communities

Cited by 15 publications

References 9 publications

Cascade computing model to optimize energy exchanges in prosumer communities

Cascade computing model to optimize energy exchanges in prosumer communities

Edge Computing Parallel Approach for Efficient Energy Sharing in a Prosumer Community

The current state of research on energy communities

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