Optimal design and dispatch of a system of diesel generators, photovoltaics and batteries for remote locations

Scioletti, Michael; Newman, Alexandra M.; Goodman, Johanna K. Stark; Zolan, Alexander; Leyffer, Sven

doi:10.1007/s11081-017-9355-4

Cited by 31 publications

(5 citation statements)

References 39 publications

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“…It also requires all constraints to be linear, which may be a limiting factor for precisely representing power dynamics of distributed energy resources. For example, power output from a battery is a nonlinear function of current and voltage, where current depends on state of charge (Scioletti et al, 2017). While these dynamics can be incorporated directly in a simulation model, a linear optimization model will require the introduction of simplifying assumptions.…”

Section: Established Software Toolsmentioning

confidence: 99%

Sensitivity analysis of hybrid microgrids with application to deployed military units

Reich,

Sanchez

2023

Naval Research Logistics

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We introduce a framework for applying sensitivity analysis to a set of potential hybrid microgrid design options, from which a decision maker can select the most preferred one. In contrast to optimization‐centric models that define an objective and produce a single solution, our goal is to empower the decision maker by providing both a range of options and accessible information that enables the decision maker to easily assess their relative upsides and downsides. Moreover, our decoupled approach allows our framework to be paired with any existing model capable of generating a set of potential hybrid microgrid designs. We introduce metrics for computing risk, stemming from power deficits, over a variety of scenarios relating to weather conditions, power demand fluctuations, and extended time horizons. These factors which are inherently uncertain are all important in military operational contexts. By introducing a design of experiments method for sensitivity analysis, we are able to implement parallel processing and maintain computational tractability.

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Section: Established Software Toolsmentioning

confidence: 99%

Sensitivity analysis of hybrid microgrids with application to deployed military units

Reich,

Sanchez

2023

Naval Research Logistics

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“…In this formulation, it is assumed that the charging and discharging power limits are identical; however, this model can be updated to handle dissimilar limits. The battery cannot be charging and discharging simultaneously (Constraint (2.9e)), while Constraint (2.9f) measures battery cycle count similar to what is done in Scioletti et al 2017.…”

Section: Batterymentioning

confidence: 99%

Integrating Concentrating Solar Power Technologies into the Hybrid Optimization and Performance Platform (HOPP)

Hamilton

Martinek

Cox

et al. 2022

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“…Currently, a system that combines PV with BES is more commonly used in smaller residential markets [24,25] (i.e., for households [26,27], or for university campuses [28] or for electric vehicles [29]) to reduce the grid electricity use [30,31] because it still requires subsidies to be economically viable [32,33]. PV-BES can also include hybrid options with wind [34] or with diesel generators to reduce fuel consumption [35,36]. However, the declining costs of both PV and batteries due to the recent development has raised interest in the optimization of BES capacity for a grid-connected PV system [37][38][39] and has created high expectations that PV-BES can be dispatched in the market [40][41][42][43] or lead to an autonomous micro-grids [44] to provide dispatchable and reliable capacity [45].…”

Section: Introductionmentioning

confidence: 99%

Utility-Scale PV-Battery versus CSP-Thermal Storage in Morocco: Storage and Cost Effect under Penetration Scenarios

2021

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In this study, we examine how Battery Storage (BES) and Thermal Storage (TES) combined with solar Photovoltaic (PV) and Concentrated Solar Power (CSP) technologies with an increased storage duration and rental cost together with diversification would influence the Moroccan mix and to what extent the variability (i.e., adequacy risk) can be reduced; this is done using recent (2013) cost data and under various penetration scenarios. To do this, we use MERRA-2 climate reanalysis to simulate hourly demand and capacity factors (CFs) of wind, solar PV and CSP without and with increasing storage capabilities—as defined by the CSP Solar Multiple (SM) and PV Inverter Loading Ratio (ILR). We adjust these time series to observations for the four Moroccan electrical zones over the year 2018. Our objective is to maximize the renewable (RE) penetration and minimize the imbalances between RE production and consumption considering three optimization strategies. We analyze mixes along Pareto fronts using the Mean-Variance Portfolio approach—implemented in the E4CLIM model—in which we add a maximum-cost constraint to take into account the different rental costs of wind, PV and CSP. We propose a method to calculate the rental cost of storage and production technologies taking into account the constraints on storage associated with the increase of SM and ILR in the added PV-BES and CSP-TES modules, keeping the mean solar CFs fixed. We perform some load bands-reduction diagnostics to assess the reliability benefits provided by each RE technology. We find that, at low penetrations, the maximum-cost budget is not reached because a small capacity is needed. The higher the ILR for PV, the larger the share of PV in the mix compared to wind and CSP without storage is removed completely. Between PV-BES and CSP-TES, the latter is preferred as it has larger storage capacity and thus stronger impact in reducing the adequacy risk. As additional BES are installed, more than TES, PV-BES is favored. At high penetrations, optimal mixes are impacted by cost, the more so as CSP (resp., PV) with high SM (resp., ILR) are installed. Wind is preferably installed due to its high mean CF compared to cost, followed by either PV-BES or CSP/CSP-TES. Scenarios without or with medium storage capacity favor CSP/CSP-TES, while high storage duration scenarios are dominated by low-cost PV-BES. However, scenarios ignoring the storage cost and constraints provide more weight to PV-BES whatever the penetration level. We also show that significant reduction of RE variability can only be achieved through geographical diversification. Technological complementarity may only help to reduce the variance when PV and CSP are both installed without or with a small amount of storage. However, the diversification effect is slightly smaller when the SM and ILR are increased and the covariances are reduced as well since mixes become less diversified.

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Optimal design and dispatch of a system of diesel generators, photovoltaics and batteries for remote locations

Cited by 31 publications

References 39 publications

Sensitivity analysis of hybrid microgrids with application to deployed military units

Sensitivity analysis of hybrid microgrids with application to deployed military units

Integrating Concentrating Solar Power Technologies into the Hybrid Optimization and Performance Platform (HOPP)

Utility-Scale PV-Battery versus CSP-Thermal Storage in Morocco: Storage and Cost Effect under Penetration Scenarios

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