TY - JOUR
T1 - A flexible-reliable operation optimization model of the networked energy hubs with distributed generations, energy storage systems and demand response
AU - Dini, Anoosh
AU - Hassankashi, Alireza
AU - Pirouzi, Sasan
AU - Lehtonen, Matti
AU - Arandian, Behdad
AU - Baziar, Ali Asghar
N1 - Publisher Copyright:
© 2021
PY - 2022/1/15
Y1 - 2022/1/15
N2 - This paper presents a novel optimization model for the flexible-reliable operation (FRO) of energy hubs (EHs) in electricity, natural gas, and district heating networks. To achieve flexible EH in the presence of renewable energy sources (RESs) and combined heat and power (CHP) system, energy storage systems (ESS) and incentive-based demand response program (IDRP) are used. The proposed problem minimizes the total expected costs of operation, reliability, and flexibility of the energy networks including EHs. The optimization scheme is constrained to the optimal power flow (OPF) equations and the reliability requirements of these networks and the EH model in the presence of sources and active loads, namely ESS and IDRP. Scenario-based stochastic programming (SBSP) is utilized to model uncertainties of load, energy cost, power generation of RES, and network equipment availability. The problem has a mixed-integer nonlinear programming (MINLP) nature. Consequently, a hybrid teaching-learning-based optimization (TLBO) and crow search algorithm (CSA) is used to obtain a reliable optimal solution with a low standard deviation. Finally, by simulating the proposed scheme on a sample test system, the capabilities of this scheme in improving the reliability, operation, and flexibility of energy networks in accordance with the optimal scheduling for EHs are confirmed.
AB - This paper presents a novel optimization model for the flexible-reliable operation (FRO) of energy hubs (EHs) in electricity, natural gas, and district heating networks. To achieve flexible EH in the presence of renewable energy sources (RESs) and combined heat and power (CHP) system, energy storage systems (ESS) and incentive-based demand response program (IDRP) are used. The proposed problem minimizes the total expected costs of operation, reliability, and flexibility of the energy networks including EHs. The optimization scheme is constrained to the optimal power flow (OPF) equations and the reliability requirements of these networks and the EH model in the presence of sources and active loads, namely ESS and IDRP. Scenario-based stochastic programming (SBSP) is utilized to model uncertainties of load, energy cost, power generation of RES, and network equipment availability. The problem has a mixed-integer nonlinear programming (MINLP) nature. Consequently, a hybrid teaching-learning-based optimization (TLBO) and crow search algorithm (CSA) is used to obtain a reliable optimal solution with a low standard deviation. Finally, by simulating the proposed scheme on a sample test system, the capabilities of this scheme in improving the reliability, operation, and flexibility of energy networks in accordance with the optimal scheduling for EHs are confirmed.
KW - Flexibility sources
KW - Flexible-reliable operation
KW - Hybrid evolutionary algorithm
KW - Networked energy hub
KW - Scenario-based stochastic programming
UR - http://www.scopus.com/inward/record.url?scp=85114398711&partnerID=8YFLogxK
U2 - 10.1016/j.energy.2021.121923
DO - 10.1016/j.energy.2021.121923
M3 - Article
AN - SCOPUS:85114398711
SN - 0360-5442
VL - 239
JO - Energy
JF - Energy
M1 - 121923
ER -
