TY - GEN
T1 - Supplementing spinning reserves with demand response under wind generation uncertainty
AU - Philippe, Wolf Peter Jean
AU - Hashemi, Mirjavad
AU - Zhou, Yi
AU - Eftekharnejad, Sara
AU - Bangura, Ansumana
N1 - Publisher Copyright:
© 2020 IEEE.
PY - 2020/2
Y1 - 2020/2
N2 - Grid operators are required to keep a certain level of spinning reserves to ensure system reliability. To keep the same level of reliability in systems with increased penetration of intermittent generation resources, such as wind and solar, these spinning reserves should be increased, leading to increased operations costs. This paper investigates the capability of demand response in eliminating the need for additional spinning reserves in systems with high levels of uncertainty due to wind resources. Demand response is modeled as a responsive load in which customers change their energy consumption with respect to change in the price of electricity. The cost of spinning reserves is computed using a day-ahead unit commitment and economic dispatch, while capturing load and generation uncertainties. Numerical simulations on a testbed power system indicate that an effective demand response program can offset the cost of operations by reducing the need for additional spinning reserves.
AB - Grid operators are required to keep a certain level of spinning reserves to ensure system reliability. To keep the same level of reliability in systems with increased penetration of intermittent generation resources, such as wind and solar, these spinning reserves should be increased, leading to increased operations costs. This paper investigates the capability of demand response in eliminating the need for additional spinning reserves in systems with high levels of uncertainty due to wind resources. Demand response is modeled as a responsive load in which customers change their energy consumption with respect to change in the price of electricity. The cost of spinning reserves is computed using a day-ahead unit commitment and economic dispatch, while capturing load and generation uncertainties. Numerical simulations on a testbed power system indicate that an effective demand response program can offset the cost of operations by reducing the need for additional spinning reserves.
KW - Demand response
KW - Responsive customer
KW - Spinning reserve
KW - Unit commitment
KW - Wind power generation
UR - http://www.scopus.com/inward/record.url?scp=85086260090&partnerID=8YFLogxK
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U2 - 10.1109/ISGT45199.2020.9087662
DO - 10.1109/ISGT45199.2020.9087662
M3 - Conference contribution
AN - SCOPUS:85086260090
T3 - 2020 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2020
BT - 2020 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2020
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2020 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2020
Y2 - 17 February 2020 through 20 February 2020
ER -