Transmission and distribution deferment using PV and energy storage

Ralph, Mark E.; Ellis, Abraham; Borneo, Dan; Corey, G.P.; Baldwin, Sara

doi:10.1109/pvsc.2011.6186436

Cited by 9 publications

(4 citation statements)

References 3 publications

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“…In 2010, Sandia National Laboratories (SNL) performed a study to evaluate the potential benefits of photovoltaic (PV) systems and energy storage on selected feeders in Salt Lake City, Utah, in collaboration with Rocky Mountain Power (RMP) and Utah Clean Energy [1]. The study was sponsored by the U.S. Department of Energy (DOE) and was part of SNL's Market Transformation activities.…”

Section: Executive Summarymentioning

confidence: 99%

Technical analysis of prospective photovoltaic systems in Utah.

Quiroz¹,

Cameron²

2012

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This report explores the technical feasibility of prospective utility-scale photovoltaic system (PV) deployments in Utah. Sandia National Laboratories worked with Rocky Mountain Power (RMP), a division of PacifiCorp operating in Utah, to evaluate prospective 2-megawatt (MW) PV plants in different locations with respect to energy production and possible impact on the RMP system and customers. The study focused on 2-MW AC nameplate PV systems of different PV technologies and different tracking configurations. Technical feasibility was evaluated at three different potential locations in the RMP distribution system. An advanced distribution simulation tool was used to conduct detailed time-series analysis on each feeder and provide results on the impacts on voltage, demand, voltage regulation equipment operations, and flicker. Annual energy performance was estimated. 4 ACKNOWLEDGMENTS

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Section: Executive Summarymentioning

confidence: 99%

Technical analysis of prospective photovoltaic systems in Utah.

Quiroz¹,

Cameron²

2012

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“…GA optimization of BESS in the presence of wind generator for sub transmission substation upgrade deferral was presented in [13], considering network reliability and economic viability and achieved significant deferral benefit when DG and BESS were combined. PV and ESS deployment was utilized in [14] to defer distribution station transformer upgrades. The NPV method was employed in [15] to quantify the network upgrade deferral benefit value of DG.…”

Section: Introductionmentioning

confidence: 99%

Economic Viability of Distribution Network Upgrade Deferral through BESS Sizing from K-Means Clustered Annual Load Profile Data

Ondigo,

Wekesa

2024

Eng. Technol. Appl. Sci. Res.

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The augmented electricity demand requires electrical infrastructure upgrades with system operators instituting strategies to increase Distribution Network (DN) capacity in tandem with load growth. In this study, a simple method of deploying Li-ion Battery Energy Storage Systems (BESSs) to defer DN upgrades is presented by utilizing historical load profiles. The k-means algorithm is employed to cluster the annual load profiles obtained from a substation in groups of 15-minute intervals. The load data are min-max scaled and fed as input to the K-means algorithm. The NPV financial analysis method is followed in the DN upgrade deferral benefit determination with the acquired benefit depending on Li-ion BESS price and feeder upgrade cost. The results indicate economic viability of up to four years with a Net Present Value (NPV) of US$10k for Li-ion 2000kW/3000kWh BESS. More benefits and deferral years are achieved by varying Li-ion BESS and feeder upgrade costs to 80% and 120%, respectively with deferral years increased to six with an NPV of US$110k for Li-ion BESS of 3100kW/6000kWh.

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“…The required capacity of the transformer can be reduced by detouring overflow of output from PV generators to ESS and discharge later [18], [19]. During this operation, ESS status is determined and the controller verifies that overflow from the PV generator is acceptable to BESS which is limited by the state of charge(SOC) and capacity of the power conversion system.…”

Section: Introductionmentioning

confidence: 99%

A Study on Sizing of Substation for PV With Optimized Operation of BESS

2020

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Recent development and cost down of PV(Photovoltaic) technology drive change of power system structure. The participation of PV generation is increasing, and the size of each PV farm is getting larger. In order to integrate large PV farms into the main grid, substation for interconnection needs to be sized properly. Unlike substations for load and conventional generators, PV farm substation has an uneven utilization ratio due to characteristics of solar radiation. With proper sizing method for the capacity of the substation can reduce the building cost of facilities. A combination of an energy storage system can further reduce the capacity of the substation. Battery energy storage system (BESS) can shift the peak production of PV during the daytime to midnight. According to market circumstances, BESS can reduce further construction costs by producing profit based on time difference of electric cost. For proper sizing of substation capacity, several factors must be considered including environmental factors, market structure and BESS in the system. In this paper, a series of assessment methodology is introduced to calculate the optimized capacity of substation and BESS for PV farm interconnection. The long-term solar radiation data is analyzed for a given site of the PV farm. Based on market structure, the operation of BESS is optimized to make maximum profit during operation. The iterative calculation of each step results in the calculation of the optimized capacity of BESS and substation for given PV farm size.

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Transmission and distribution deferment using PV and energy storage

Cited by 9 publications

References 3 publications

Technical analysis of prospective photovoltaic systems in Utah.

Technical analysis of prospective photovoltaic systems in Utah.

Economic Viability of Distribution Network Upgrade Deferral through BESS Sizing from K-Means Clustered Annual Load Profile Data

A Study on Sizing of Substation for PV With Optimized Operation of BESS

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