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Link to original content: https://unpaywall.org/10.23919/ACC.2019.8814416
Distributionally Robust Building Load Control to Compensate Fluctuations in Solar Power Generation (Conference) | OSTI.GOV
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Title: Distributionally Robust Building Load Control to Compensate Fluctuations in Solar Power Generation

Conference ·

This paper investigates the use of a collection of dispatchable heating, ventilation and air conditioning (HVAC) systems to absorb low-frequency fluctuations in renewable energy sources, especially in solar photo-voltaic (PV) generation. Given the uncertain and time-varying nature of solar PV generation, its probability distribution is difficult to be estimated perfectly, which poses a challenging problem of how to optimally schedule a fleet of HVAC loads to consume as much as local PV generation. We formulate a distributionally robust chance-constrained (DRCC) model to ensure that PV generation is consumed with a desired probability for a family of probability distributions, termed as an ambiguity set, built upon mean and covariance information. We benchmark the DRCC model with a deterministic optimization model and a stochastic programming model in a one-day simulation. We show that the DRCC model achieves constantly good performance to consume most PV generation even in the case with the presence of probability distribution ambiguity.

Research Organization:
Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)
Sponsoring Organization:
USDOE Office of Energy Efficiency and Renewable Energy (EERE)
DOE Contract Number:
AC05-00OR22725
OSTI ID:
1560499
Resource Relation:
Conference: 2019 American Control Conference (ACC 2019) - Philadelphia, Pennsylvania, United States of America - 7/10/2019 8:00:00 AM-7/12/2019 8:00:00 AM
Country of Publication:
United States
Language:
English