Data-driven modeling of solar-powered urban microgrids

Halu, Arda; Scala, Antonio; Khiyami, Abdulaziz; González, Marta C.

doi:10.1126/sciadv.1500700

Cited by 53 publications

(24 citation statements)

References 38 publications

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“…One particular problem in the study of smart energy communities is the lack of location data associated with openly available electricity meter data, due to privacy concerns. Therefore, in this work we simulate community formation by connecting together neighboring households along the road network and matching real monthly consumption values to data sources where 15-minute consumption is available [27]. We also simulate realistic PV generation profiles based on real PV generation data.…”

Section: Introductionmentioning

confidence: 99%

Community energy storage: A smart choice for the smart grid?

et al. 2018

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Energy storage can help integrate local renewable generation, however the best deployment level for storage remains an open question. Using a data-driven approach, this paper simulates 15-minute electricity consumption for households and groups them into local communities of neighbors using real locations and the road network in Cambridge, MA. We then simulate PV for these households and use this framework to study battery economics in a high PV adoption, high electricity cost scenario, in order to demonstrate significant storage adoption. We compare the results of storage adoption at the level of individual households to storage adoption on the community level using the aggregated community demands. Under the simulated conditions, we find that the optimum storage at the community level was 65% of that at the level of individual households and each kWh of community battery installed was 64-94% more effective at reducing exports from the community to the wider network. Therefore, given the current increasing rates of residential battery deployment, our research highlights the need for energy policy to develop market mechanisms which facilitate the deployment of community storage.

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Section: Introductionmentioning

confidence: 99%

Community energy storage: A smart choice for the smart grid?

et al. 2018

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“…Note that despite the simplicity of this fundamental model for conserved flows (i.e. Kirchhoff's and Ohm's law in the resistor network), the underlying system of equations have identical structure to those of the DC power-flow approximation (the current and voltage corresponding to the power and phase, respectively) [4,10,34].…”

Section: Resultsmentioning

confidence: 99%

“…For example in transportation systems, when a component fails the transportation flow is redistributed on the remaining network, which can cause subsequent congestion and failures. This phenomena can be observed in various flow-driven systems such as infrastructure networks [2,3], urban microgrids [4], commuter transportation and mobility networks [5][6][7], financial systems [8], and biological networks [9]. Among infrastructure networks a great interest is focused on the study of cascading failures occurring in electrical power grids [10][11][12][13][14][15][16][17].…”

Section: Introductionmentioning

confidence: 99%

Limits of Predictability of Cascading Overload Failures in Spatially-Embedded Networks with Distributed Flows

Moussawi¹,

Derzsy²,

Lin³

et al. 2017

Sci Rep

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Cascading failures are a critical vulnerability of complex information or infrastructure networks. Here we investigate the properties of load-based cascading failures in real and synthetic spatially-embedded network structures, and propose mitigation strategies to reduce the severity of damages caused by such failures. We introduce a stochastic method for optimal heterogeneous distribution of resources (node capacities) subject to a fixed total cost. Additionally, we design and compare the performance of networks with N-stable and (N-1)-stable network-capacity allocations by triggering cascades using various real-world node-attack and node-failure scenarios. We show that failure mitigation through increased node protection can be effectively achieved against single-node failures. However, mitigating against multiple node failures is much more difficult due to the combinatorial increase in possible sets of initially failing nodes. We analyze the robustness of the system with increasing protection, and find that a critical tolerance exists at which the system undergoes a phase transition, and above which the network almost completely survives an attack. Moreover, we show that cascade-size distributions measured in this region exhibit a power-law decay. Finally, we find a strong correlation between cascade sizes induced by individual nodes and sets of nodes. We also show that network topology alone is a weak predictor in determining the progression of cascading failures.

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“…Furthermore, there is an increased emphasis on improving electricity reliability and resilience through the use of distributed energy resources in a functioning mini-grid [1,9]. Thailand is facing growing demand for electricity and remains electricity supply constrained as referenced in the most recent Thai Power Development Plan [24].…”

Section: Introductionmentioning

confidence: 99%

Energy return on investment (EROI) of mini-hydro and solar PV systems designed for a mini-grid

2016

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a b s t r a c tWith dramatic cost declines and performance improvements, both mini-hydropower and solar photovoltaics (PV) now serve as core options to meet the growing demand for electricity in underserved regions worldwide. We compare the net energy return on energy invested (EROI) of mini-hydropower and solar electricity using five existing mini-hydropower installations in northern Thailand with gridconnected solar PV simulations. Both assessments use a life cycle perspective to estimate the EROI. We find that distributed mini-grids with penetrations of solar PV up to 50% of annual generation can exceed the EROI of some fossil-based traditional centralized grid systems. The analysis will help planners and engineers optimize mini-grids for energy payback and utilize local resources in their design. The results suggest higher EROI ratios for mini-hydropower plants than solar PV, though mini-hydropower plants typically yield lower EROI ratios than their large-scale hydropower counterparts.

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Data-driven modeling of solar-powered urban microgrids

Abstract: A modeling framework for citywide solar microgrids with real hourly consumption, and the interplay between spatial costs and resilience.

Cited by 53 publications

References 38 publications

Community energy storage: A smart choice for the smart grid?

Community energy storage: A smart choice for the smart grid?

Limits of Predictability of Cascading Overload Failures in Spatially-Embedded Networks with Distributed Flows

Energy return on investment (EROI) of mini-hydro and solar PV systems designed for a mini-grid

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