Techno‐economic planning of local energy systems through optimization models: a survey of current methods

Cuisinier, Étienne; Bourasseau, Cyril; Ruby, Alain; Lemaire, Pierre; Penz, Bernard

doi:10.1002/er.6208

Cited by 37 publications

(12 citation statements)

References 133 publications

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“…4.2.2 Single large linear optimization problem. When the anticipative strategy is embedded in the design procedure, a single large linear optimization (LP) problem is formulated and solved by calling an external solver (for instance, see Cuisinier et al, 2021, for more details). The solver not only computes the optimal sizes but also the optimal power flow decisions at each time step and for each scenario.…”

Section: Resolution Methodsmentioning

confidence: 99%

On the interaction between the design and operation under uncertainties of a simple distributed energy system

Radet

Sareni

Roboam

2022

COMPEL

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Purpose The purpose of this study is toward a better understanding of the interplay between the design and the operation under uncertainties of a simple distributed energy system (DES), by analyzing the sensitivity of the operation strategy over the size of the assets. Design/methodology/approach A two-step framework is developed in this work: first, the equipment sizes are obtained solving an integrated design approach where an operation strategy Fd is embedded in a design loop; then, once the sizes have been fixed, the DES is evaluated with an operation strategy Fa (which can be the same as Fd). The operation strategies Fd and Fa are not necessarily the same, so the objective of the paper is to study the interplay between the design and the operation by varying the optimality level of the operation strategies in both phases. Findings The results show that the design of DES cannot be approached without considering its close relationship with the operation strategy. Indeed, the design method needs to be chosen according to the performance of the operation policy finally used in real life: no matter if the operation strategies are the same in both phases but they must lead to a similar level of optimality in terms of operating performance. Originality/value The originality of this work is to shed light on the importance of the operation strategy in the design procedure as it seems rarely addressed, to the best of the authors’ knowledge, in the literature. Indeed, most of the paper dealing with stochastic design of DES solves single large two-stage problems without discussing the way power flows are finally controlled in real life. The optimal design and operation of DES is rarely addressed conjointly, this study aims at bridging the gap between these two isolated scientific communities.

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Section: Resolution Methodsmentioning

confidence: 99%

On the interaction between the design and operation under uncertainties of a simple distributed energy system

Radet

Sareni

Roboam

2022

COMPEL

View full text Add to dashboard Cite

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“…After reviewing the literature of energy system and storage expansion planning (Haas et al, [3], Koltsaklis et al, [4]), interacting with the open energy modeling community (OpenMod, [5]), examining the different methodologies developed (Cuisinier et al, [6]), we observed that most research efforts are focused on optimizing the sizing, investment and operation of a given energy system at different horizons. These approaches enable to assess the evolution of a system, to find the best decision-making in an uncertain environment [7,8,9].…”

Section: Introductionmentioning

confidence: 99%

Matching intermittent electricity supply and demand with electricity storage - An optimization based on a time scale analysis

Clerjon

Perdu

2022

Energy

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“…The quality of the electrical power supply service has become a concern not only for the companies providing this service, but also for consumers connected to the energy grid. 1,2 This concern is mainly due to the consequent increase in the use of computerized systems, which demand greater stability and continuity in the supply of energy, guaranteeing the proper functioning and useful life of the exploited equipment. In order to increase customer satisfaction, energy companies have invested in their network infrastructure.…”

Section: Introductionmentioning

confidence: 99%

“…One of the main investments is the implementation of smart automation systems aiming at the improvement, reliability and operational efficiency of the energy distribution systems. 1,3 Focusing on energy distribution quality, the challenge arises of implementing an economically viable technology that provides the management and control of the energy distribution network. For this purpose, the concept of smart electrical networks, commonly known as smart grids, is idealized.…”

Section: Introductionmentioning

confidence: 99%

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An efficient distributed approach for aself‐healingsmart grid using minimal spanning tree

Nedjah

Cardoso

Mourelle

2021

Intl J of Energy Research

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In the event of a network failure that compromises energy supply, the characteristic of smart grid self-healing consists of finding a proposal for reconfiguration of the grid, aiming at restoring the power, partially or completely to supply all network nodes. The search for a satisfactory reconfiguration is a combinatorial problem whose complexity is proportional to the network size. An exhaustive search-based method is time-consuming and often computationally non-viable. To overcome this difficulty, techniques for generating minimal spanning trees (MSTs) of the graph that represents the smart grid, are exploited. However, existing studies provide centralized implementations. In this work, we propose a distributed implementation, where each of the network switch collaborates in developing of the recovery solution. The proposed decentralized approach seeks a reduction of reconfiguration time requirements, thus increasing network intelligence. For this purpose, a distributed algorithm for building the MST is embedded in the processing elements available at the commutation nodes. The evaluated case studies show that, whenever possible, the proposed solution allows for a successful reconfiguration, regardless of the number of simultaneous failures. Moreover, the network reconfiguration time is not significantly impacted by the number of buses and included lines. The implementation presents results of communication cost and reconfiguration time significantly lower than the expected upper bounds. Notably, for the case studies, the proposed implementation achieves 70% and 69% speedup regarding the reconfiguration time from simple and multiple failures, respectively, when compared to the expected theoretical performance. Furthermore, when compared to existing multiagentbased self-healing systems, the proposed implementation recovers from failures twice as fast, making it more desirable in a smart-grid real implementation.

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Techno‐economic planning of local energy systems through optimization models: a survey of current methods

Cited by 37 publications

References 133 publications

On the interaction between the design and operation under uncertainties of a simple distributed energy system

On the interaction between the design and operation under uncertainties of a simple distributed energy system

Matching intermittent electricity supply and demand with electricity storage - An optimization based on a time scale analysis

An efficient distributed approach for aself‐healingsmart grid using minimal spanning tree

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