TY - GEN
T1 - Coordinated dispatch of renewable energy sources and HVAC load using stochastic programming
AU - Nguyen, Duong Tung
AU - Nguyen, Hieu Trung
AU - Le, Long Bao
N1 - Publisher Copyright:
© 2014 IEEE.
PY - 2015/1/12
Y1 - 2015/1/12
N2 - This paper investigates the potential of using aggregated heating, ventilation, and air-conditioning (HVAC) loads to smooth out the power fluctuation of a wind farm and/or a solar farm to make these stochastic resources more dispatchable. Specially, we consider a Virtual Power Plant (VPP) which consists of several wind/solar power units, a number of buildings with their HVAC systems, and a battery storage facility. A portion of the power generation from renewable energy sources (RESs) is used to operate HVAC systems and the rest (if any) is sold to the main grid. The design goal is to determine an optimal hourly scheduled power dispatch that the VPP must submit to electricity market to maximize its benefit. The short-term fluctuation of renewable energy generation (i.e., over intrahour intervals) is mitigated by smartly adjusting the flexible HVAC load, which enables the VPP to provide a firmed hourly dispatch. The underlying optimization problem is formulated as a two-stage stochastic program where system uncertain parameters are modeled using Monte-Carlo simulation. Building thermal dynamics model and users' climate comfort criteria are considered in the proposed optimization framework. Numerical results is presented to illustrate the effectiveness of the proposed model.
AB - This paper investigates the potential of using aggregated heating, ventilation, and air-conditioning (HVAC) loads to smooth out the power fluctuation of a wind farm and/or a solar farm to make these stochastic resources more dispatchable. Specially, we consider a Virtual Power Plant (VPP) which consists of several wind/solar power units, a number of buildings with their HVAC systems, and a battery storage facility. A portion of the power generation from renewable energy sources (RESs) is used to operate HVAC systems and the rest (if any) is sold to the main grid. The design goal is to determine an optimal hourly scheduled power dispatch that the VPP must submit to electricity market to maximize its benefit. The short-term fluctuation of renewable energy generation (i.e., over intrahour intervals) is mitigated by smartly adjusting the flexible HVAC load, which enables the VPP to provide a firmed hourly dispatch. The underlying optimization problem is formulated as a two-stage stochastic program where system uncertain parameters are modeled using Monte-Carlo simulation. Building thermal dynamics model and users' climate comfort criteria are considered in the proposed optimization framework. Numerical results is presented to illustrate the effectiveness of the proposed model.
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U2 - 10.1109/SmartGridComm.2014.7007636
DO - 10.1109/SmartGridComm.2014.7007636
M3 - Conference contribution
AN - SCOPUS:84922455725
T3 - 2014 IEEE International Conference on Smart Grid Communications, SmartGridComm 2014
SP - 139
EP - 144
BT - 2014 IEEE International Conference on Smart Grid Communications, SmartGridComm 2014
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2014 IEEE International Conference on Smart Grid Communications, SmartGridComm 2014
Y2 - 3 November 2014 through 6 November 2014
ER -