LCOE Design Optimization Using Genetic Algorithm with Improved Component Models for Medium-Voltage Transformerless PV Inverters

Kyle Goodrick; Gab-Su Seo; Satyaki Mukherjee; Jinia Roy; Rahul Mallik; Branko Majmunovic; Soham Dutta; Dragan Maksimovic; Brian Johnson

doi:10.1109/ECCE44975.2020.9236092

LCOE Design Optimization Using Genetic Algorithm with Improved Component Models for Medium-Voltage Transformerless PV Inverters

Kyle Goodrick, Gab-Su Seo, Satyaki Mukherjee, Jinia Roy, Rahul Mallik, Branko Majmunovic, Soham Dutta, Dragan Maksimovic, Brian Johnson

Power Systems Engineering

Research output: Contribution to conference › Paper › peer-review

3 Scopus Citations

Abstract

For real-world installations of photovoltaic and other renewable energy resources, the critical design metric is the levelized cost of energy (LCOE); however, many power electronics design optimizations are performed with efficiency and power density as the primary design goals. Recent work has shown that a new LCOE-focused optimization approach can yield improved system designs balancing cost and energy generation. This paper expands the LCOE optimization approach by considering comprehensive optimization parameters, adding new modeling of inductor cost, extending the semiconductor model to include effects of losses on housing cost, and implementing a genetic algorithm to improve computation efficiency.

Original language	American English
Pages	2262-2267
Number of pages	6
DOIs	https://doi.org/10.1109/ECCE44975.2020.9236092 https://doi.org/10.1109/ECCE44975.2020.9236092
State	Published - 11 Oct 2020
Event	12th Annual IEEE Energy Conversion Congress and Exposition, ECCE 2020 - Virtual, Detroit, United States Duration: 11 Oct 2020 → 15 Oct 2020

Conference

Conference	12th Annual IEEE Energy Conversion Congress and Exposition, ECCE 2020
Country/Territory	United States
City	Virtual, Detroit
Period	11/10/20 → 15/10/20

Bibliographical note

See NREL/CP-5D00-74353 for preprint

NREL Publication Number

NREL/CP-5D00-78696

Keywords

computational modeling
genetic algorithms
inductors
inverters
optimization
switching frequency
transformer cores

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Cite this

Goodrick, K., Seo, G.-S., Mukherjee, S., Roy, J., Mallik, R., Majmunovic, B., Dutta, S., Maksimovic, D., & Johnson, B. (2020). LCOE Design Optimization Using Genetic Algorithm with Improved Component Models for Medium-Voltage Transformerless PV Inverters. 2262-2267. Paper presented at 12th Annual IEEE Energy Conversion Congress and Exposition, ECCE 2020, Virtual, Detroit, United States. https://doi.org/10.1109/ECCE44975.2020.9236092, https://doi.org/10.1109/ECCE44975.2020.9236092

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abstract = "For real-world installations of photovoltaic and other renewable energy resources, the critical design metric is the levelized cost of energy (LCOE); however, many power electronics design optimizations are performed with efficiency and power density as the primary design goals. Recent work has shown that a new LCOE-focused optimization approach can yield improved system designs balancing cost and energy generation. This paper expands the LCOE optimization approach by considering comprehensive optimization parameters, adding new modeling of inductor cost, extending the semiconductor model to include effects of losses on housing cost, and implementing a genetic algorithm to improve computation efficiency.",

keywords = "computational modeling, genetic algorithms, inductors, inverters, optimization, switching frequency, transformer cores",

author = "Kyle Goodrick and Gab-Su Seo and Satyaki Mukherjee and Jinia Roy and Rahul Mallik and Branko Majmunovic and Soham Dutta and Dragan Maksimovic and Brian Johnson",

note = "See NREL/CP-5D00-74353 for preprint; 12th Annual IEEE Energy Conversion Congress and Exposition, ECCE 2020 ; Conference date: 11-10-2020 Through 15-10-2020",

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day = "11",

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Goodrick, K, Seo, G-S, Mukherjee, S, Roy, J, Mallik, R, Majmunovic, B, Dutta, S, Maksimovic, D & Johnson, B 2020, 'LCOE Design Optimization Using Genetic Algorithm with Improved Component Models for Medium-Voltage Transformerless PV Inverters', Paper presented at 12th Annual IEEE Energy Conversion Congress and Exposition, ECCE 2020, Virtual, Detroit, United States, 11/10/20 - 15/10/20 pp. 2262-2267. https://doi.org/10.1109/ECCE44975.2020.9236092, https://doi.org/10.1109/ECCE44975.2020.9236092

LCOE Design Optimization Using Genetic Algorithm with Improved Component Models for Medium-Voltage Transformerless PV Inverters. / Goodrick, Kyle; Seo, Gab-Su; Mukherjee, Satyaki et al.
2020. 2262-2267 Paper presented at 12th Annual IEEE Energy Conversion Congress and Exposition, ECCE 2020, Virtual, Detroit, United States.

Research output: Contribution to conference › Paper › peer-review

TY - CONF

T1 - LCOE Design Optimization Using Genetic Algorithm with Improved Component Models for Medium-Voltage Transformerless PV Inverters

AU - Goodrick, Kyle

AU - Seo, Gab-Su

AU - Mukherjee, Satyaki

AU - Roy, Jinia

AU - Mallik, Rahul

AU - Majmunovic, Branko

AU - Dutta, Soham

AU - Maksimovic, Dragan

AU - Johnson, Brian

N1 - See NREL/CP-5D00-74353 for preprint

PY - 2020/10/11

Y1 - 2020/10/11

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AB - For real-world installations of photovoltaic and other renewable energy resources, the critical design metric is the levelized cost of energy (LCOE); however, many power electronics design optimizations are performed with efficiency and power density as the primary design goals. Recent work has shown that a new LCOE-focused optimization approach can yield improved system designs balancing cost and energy generation. This paper expands the LCOE optimization approach by considering comprehensive optimization parameters, adding new modeling of inductor cost, extending the semiconductor model to include effects of losses on housing cost, and implementing a genetic algorithm to improve computation efficiency.

KW - computational modeling

KW - genetic algorithms

KW - inductors

KW - inverters

KW - optimization

KW - switching frequency

KW - transformer cores

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T2 - 12th Annual IEEE Energy Conversion Congress and Exposition, ECCE 2020

Y2 - 11 October 2020 through 15 October 2020

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Goodrick K, Seo GS, Mukherjee S, Roy J, Mallik R, Majmunovic B et al.. LCOE Design Optimization Using Genetic Algorithm with Improved Component Models for Medium-Voltage Transformerless PV Inverters. 2020. Paper presented at 12th Annual IEEE Energy Conversion Congress and Exposition, ECCE 2020, Virtual, Detroit, United States. doi: 10.1109/ECCE44975.2020.9236092, 10.1109/ECCE44975.2020.9236092

LCOE Design Optimization Using Genetic Algorithm with Improved Component Models for Medium-Voltage Transformerless PV Inverters

Abstract

Conference

Bibliographical note

NREL Publication Number

Keywords

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