Multi-Year Planning of a Rural Microgrid Considering Storage Degradation

Petrelli, Marina; Fioriti, Davide; Berizzi, Alberto; Poli, Davide

doi:10.1109/tpwrs.2020.3020219

Cited by 24 publications

(11 citation statements)

References 38 publications

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“…Only few studies have recently adopted a multi-year approach, partially integrating the multi-year characteristics of the system [13][14][15]; namely, load growth [13,15] and storage capacity reduction, regardless of how the batteries are used [14,15]. Actually, the pace at which batteries degrade is strongly linked to their operation [16] and this has significant impact on the optimal microgrid planning and scheduling [17]. Moreover, renewable energy generators are subject to performance deteriorations too [18,19], and this influences their optimal size.…”

Section: Literature Analysismentioning

confidence: 99%

“…The proposed approach, which is firstly presented in this paper, goes beyond the state of the art because it preemptively detects the redundant simulations, thus reducing the computational requirements without affecting the quality of the results. The assets degradation and their operational constraints have been taken into account by using a custom iterative approach that enables decomposing the general non-linear problem into the consecutive optimization of simple MILP problems, where constant parameters are updated in every iteration [17]. Economic (Net Present Cost), social (Job Creation and Public Lighting), and environmental (Life-cycle emissions and Land use) concerns are considered as objective functions.…”

Section: Contributionsmentioning

confidence: 99%

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A novel multi-objective method with online Pareto pruning for multi-year optimization of rural microgrids

et al. 2021

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Section: Literature Analysismentioning

confidence: 99%

Section: Contributionsmentioning

confidence: 99%

A novel multi-objective method with online Pareto pruning for multi-year optimization of rural microgrids

et al. 2021

Self Cite

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“…Refs. [19][20][21][22][23] have considered long-term sizing with multi-step investments using optimization techniques. Some reviews also focus on available tools for the design and planning of hybrid renewable energy systems [24][25][26].…”

Section: Literature Review On Autonomous Microgrid Designmentioning

confidence: 99%

Multi-Objective Optimization of Autonomous Microgrids with Reliability Consideration

Riou¹,

Dupriez-Robin

Grondin³

et al. 2021

Energies

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Microgrids operating on renewable energy resources have potential for powering rural areas located far from existing grid infrastructures. These small power systems typically host a hybrid energy system of diverse architecture and size. An effective integration of renewable energies resources requires careful design. Sizing methodologies often lack the consideration for reliability and this aspect is limited to power adequacy. There exists an inherent trade-off between renewable integration, cost, and reliability. To bridge this gap, a sizing methodology has been developed to perform multi-objective optimization, considering the three design objectives mentioned above. This method is based on the non-dominated sorting genetic algorithm (NSGA-II) that returns the set of optimal solutions under all objectives. This method aims to identify the trade-offs between renewable integration, reliability, and cost allowing to choose the adequate architecture and sizing accordingly. As a case study, we consider an autonomous microgrid, currently being installed in a rural area in Mali. The results show that increasing system reliability can be done at the least cost if carried out in the initial design stage.

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“…So, the techno-economic analysis of the optimally designed MG is presented here to guide the investors in their investment related decision making. Though, the optimal sizing of MG is addressed in many investigations using various optimization methods [9][10][11][12][13][14], the deterministic approaches used in these studies, does not account for the randomness of the design parameters. These optimal sizing methods resulted in under/oversized system and fail in the practical scenarios in the longer run as the energy efficient MGs with significant penetration of renewable energy resources show high operational randomness due to the varying nature of solar irradiation (G), temperature (Ta) and electricity demand (L) [8].…”

Section: Introductionmentioning

confidence: 99%

Probabilistic Techno-Economic Design of Isolated Microgrid

Jeyaprabha

Milanović

2023

IEEE Trans. Power Syst.

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Isolated microgrid (MG) proved its potential to electrify the remote community through the cheaper and greener renewable energy alternatives with higher reliability than the weak grid. The goal of universal electricity access and the climate change mitigation paves the way for many public/private owned microgrids in remote areas. Having in mind various uncertainties associated with the design parameters of the MG (e.g., temperature, irradiation, load), this paper presents a probabilistic approach for optimal sizing and techno-economic assessment of the PV-based MG. The potential environmental impact of the isolated MG is taken into account by considering both, the PV/Battery, and more conventional PV/Battery/Diesel Generator configuration. The effectiveness of multi-year data over the single year data in the probabilistic approach is demonstrated. The probabilistic techno-economic analysis of different configurations facilitates informed decision making regarding the configuration and size of MG components while meeting the reliability of supply and environmental constraints. The feasibility and affordability of the configurations are demonstrated through the distribution of net present cost, levelized cost of energy and the unmet load percentage.

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Multi-Year Planning of a Rural Microgrid Considering Storage Degradation

Cited by 24 publications

References 38 publications

A novel multi-objective method with online Pareto pruning for multi-year optimization of rural microgrids

A novel multi-objective method with online Pareto pruning for multi-year optimization of rural microgrids

Multi-Objective Optimization of Autonomous Microgrids with Reliability Consideration

Probabilistic Techno-Economic Design of Isolated Microgrid

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