A comparison of PV resource modeling for sizing microgrid components

RENEWABLE ENERGY

卷:162

Article

Newman, Sarah¹  Shiozawa, Kaymie¹  Follum, Jim²  Barrett, Emily²  Douville, Travis³  Hardy, Trevor²  Solana, Amy³ 

[1] Pacific Northwest Natl Lab, 1100 Dexter Ave N,Suite 500, Seattle, WA 98109 USA

[2] Pacific Northwest Natl Lab, 902 Battelle Blvd, Richland, WA 99354 USA

[3] Pacific Northwest Natl Lab, 620 SW Fifth Ave,Suite 810, Portland, OR 97204 USA

关键词: Microgrids;    Resilience;    Reliability;    Photovoltaics;   

DOI  :  10.1016/j.renene.2020.08.074

来源: Elsevier

【 摘 要 】

Microgrid systems are being deployed with increased frequency to meet critical building loads during unplanned power outages. Determining the appropriate type and size of components that make up a microgrid can greatly affect its ability to meet this need. This paper presents a new tool to appropriately size PV, battery, and generator capacities to meet all site loads, given a resilience goal. It uses a statistical model to simulate microgrid behavior under a large range of solar resource conditions, providing resilience planners with confidence that critical loads will be met even under extreme weather condi-tions. We compare this model with one that uses typical weather data for sizing microgrids, and quantify the resilience effects of using these different methods. Our method produces more conservative generator capacities and fuel requirements in an outage, predicting up to 30% more fuel required in the most extreme case. Microgrid systems that are designed using more conservative estimates are more likely to continue to serve load during emergency outages under a large range of conditions. (C) 2020 Elsevier Ltd. All rights reserved.

【 授权许可】

Free