Cascade computing model to optimize energy exchanges in prosumer communities

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

doi:10.1016/j.heliyon.2022.e08902

Cited by 8 publications

(4 citation statements)

References 22 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The model exploits a unique MILP problem for all the prosumers, and solves it through the Branch and Bound algorithm, which provides the optimal solution for sharing energy at the community level. In the Cascade model, discussed in [27], the overall solution is obtained by iterating a number of MILP problems, solved sequentially.…”

Section: Related Workmentioning

confidence: 99%

Quantum Computing Approach for Energy Optimization in a Prosumer Community

Mastroianni

Scarcello

Settino

2022

2022 IEEE Intl Conf on Dependable, Autonomic and Secure Computing, Intl Conf on Pervasive Intelligence and Computing, Intl Conf

Self Cite

View full text Add to dashboard Cite

The efficient management of energy communities relies on the solution of the "prosumer problem", i.e., the problem of scheduling the household loads on the basis of the user needs, the electricity prices, and the availability of local renewable energy, with the aim of reducing costs and energy waste. Quantum computers can offer a significant breakthrough in treating this problem thanks to the intrinsic parallel nature of quantum operations. The most promising approach is to devise variational hybrid algorithms, in which quantum computation is driven by parameters that are optimized classically, in a cycle that aims at finding the best solution with a significant speedup with respect to classical approaches. This paper provides a reformulation of the prosumer problem, allowing to address it with a hybrid quantum algorithm, namely, Quantum Approximate Optimization Algorithm (QAOA), and with a recent variant, the Recursive QAOA. We report on an extensive set of experiments, on simulators and real quantum hardware, for different problem sizes. Results are encouraging in that Recursive QAOA is able, for problems involving up to 10 qubits, to provide optimal and admissible solutions with good probabilities, while the computation time is nearly independent of the system size.

show abstract

Section: Related Workmentioning

confidence: 99%

Quantum Computing Approach for Energy Optimization in a Prosumer Community

Mastroianni

Scarcello

Settino

2022

2022 IEEE Intl Conf on Dependable, Autonomic and Secure Computing, Intl Conf on Pervasive Intelligence and Computing, Intl Conf

Self Cite

View full text Add to dashboard Cite

show abstract

“…This can lead to significant cost savings and increase the percentage of green energy [16], as well as provide an opportunity for alternative energy system organisation and management methods in the future: smart energy transmission, distribution and metering [17], [18], digital twinning, introduction of green energy sources, for example, gases, in conventional energy distribution and transmission networks [19]- [22]. In future, it could also help minimise impact of energy delivery disruptions during local energy crisis that could occur in practically every centralised and extended energy delivery network [23].…”

Section: The Concept Of Energy Community In the Context Of The Object...mentioning

confidence: 99%

Evolving Concept of Energy Communities in the European Union

Auders,

Lapuke

2024

Latvian Journal of Physics and Technical Sciences

View full text Add to dashboard Cite

In accordance with the goal approved by the Council of the European Union, a European climate-neutrality must be achieved by 2050. Namely, the European Union must significantly reduce greenhouse gas emissions and find ways to compensate for the remaining and unavoidable ones. Within the framework of the European Green Deal, which is a set of policy initiatives to achieve climate neutrality goals, energy communities are considered in the context of two initiatives: a just transition and clean and safe energy at an affordable price. Within the latter, energy community is seen as citizen-led actions in the energy sector that will help pave the way for the transition to clean energy.

show abstract

“…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. On the other hand, with the Separated model, proposed in [38,39], each prosumer is modeled separately, while with the Cascade model, discussed in [40], the overall solution is obtained by iterating a number of MILP problems, solved in a sequential fashion.…”

Section: Related Workmentioning

confidence: 99%

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

2022

Self Cite

View full text Add to dashboard Cite

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.

show abstract

Cascade computing model to optimize energy exchanges in prosumer communities

Cited by 8 publications

References 22 publications

Quantum Computing Approach for Energy Optimization in a Prosumer Community

Quantum Computing Approach for Energy Optimization in a Prosumer Community

Evolving Concept of Energy Communities in the European Union

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

Contact Info

Product

Resources

About