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A Study on Optimal ESS Discharging Scheduling to Reduce Seasonal Peak Demand in PV Power Plant
by
Kim, Mi-Young
, Son, Joon-Ho
in
Cluster analysis
/ Clustering
/ Demand
/ Discharge
/ Electrical Engineering
/ Electrical Machines and Networks
/ Electronics and Microelectronics
/ Energy storage
/ Engineering
/ Instrumentation
/ Original Article
/ Peak demand
/ Peak load
/ Photovoltaic cells
/ Photovoltaics
/ Power Electronics
/ Power plants
/ Scheduling
/ Vector quantization
/ 전기공학
2023
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A Study on Optimal ESS Discharging Scheduling to Reduce Seasonal Peak Demand in PV Power Plant
by
Kim, Mi-Young
, Son, Joon-Ho
in
Cluster analysis
/ Clustering
/ Demand
/ Discharge
/ Electrical Engineering
/ Electrical Machines and Networks
/ Electronics and Microelectronics
/ Energy storage
/ Engineering
/ Instrumentation
/ Original Article
/ Peak demand
/ Peak load
/ Photovoltaic cells
/ Photovoltaics
/ Power Electronics
/ Power plants
/ Scheduling
/ Vector quantization
/ 전기공학
2023
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While trying to remove the title from your shelf something went wrong :( Kindly try again later!
Do you wish to request the book?
A Study on Optimal ESS Discharging Scheduling to Reduce Seasonal Peak Demand in PV Power Plant
by
Kim, Mi-Young
, Son, Joon-Ho
in
Cluster analysis
/ Clustering
/ Demand
/ Discharge
/ Electrical Engineering
/ Electrical Machines and Networks
/ Electronics and Microelectronics
/ Energy storage
/ Engineering
/ Instrumentation
/ Original Article
/ Peak demand
/ Peak load
/ Photovoltaic cells
/ Photovoltaics
/ Power Electronics
/ Power plants
/ Scheduling
/ Vector quantization
/ 전기공학
2023
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A Study on Optimal ESS Discharging Scheduling to Reduce Seasonal Peak Demand in PV Power Plant
Journal Article
A Study on Optimal ESS Discharging Scheduling to Reduce Seasonal Peak Demand in PV Power Plant
2023
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Overview
Energy Storage System (ESS) installed in photovoltaics (PV) power plants has been operated to alleviate the shortage of connection capacity and to reduce peak demand. Therefore, the REC weight of 5.0 was given until 2020 for the PV power output through the ESS charged at specified time (10:00–16:00) and discharged at other times (16:00~). Meanwhile, the peak demand of this summer is occurring between 15:00 and 17:00 when the PV power output gradually decreases. However, the existing installed ESS is operated with a simple pattern that discharges from 17:00 to 24:00 with a fixed PCS output without considering seasonal peak demand. Therefore, this paper presents an ESS discharging scheduling that can respond to peak demand by introducing incentives. For irregular PV power output, the proposed ESS discharging scheduling is determined to maximize the expected total daily benefit of the PV power plant by applying k-means clustering and scenario techniques (sunny, cloudy, and rainy). As a result of the simulation, the ESS was discharged to the maximum during the winter peak time (09:00–10:00) and the expected total daily benefit increased by 10% compared to the previous one.
Publisher
Springer Nature Singapore,Springer Nature B.V,대한전기학회
Subject
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