TY - JOUR
T1 - Stochastic Electrical and Thermal Energy Management of Energy Hubs Integrated with Demand Response Programs and Renewable Energy
T2 - A Prioritized Multi-objective Framework
AU - Monemi Bidgoli, Mahdieh
AU - Karimi, Hamid
AU - Jadid, Shahram
AU - Anvari-Moghaddam, Amjad
PY - 2021
Y1 - 2021
N2 - Energy hubs (EH) are known as multi-carrier systems that integrate multiple energy resources to enable greater flexibility in the energy provision. In this study, a multi-objective decision-making framework is proposed to determine the optimal scheduling of EHs. The proposed model considers the total cost of the EH, emissions, power losses, and average reserve of EH, simultaneously. These objectives are prioritized based on the EH preference that can be different for each EH. In this strategy, the cost of the EH has the highest priority and is considered as the main objective. The emission, system losses, and system reserve simultaneously have been considered as secondary objectives. According to the prioritization made among objectives, a lexicography optimization is performed in which cost minimization is considered in the first step, and the secondary objectives are evaluated in the second step of optimization. The intermittency nature of the electrical and thermal loads, renewable generation, and market prices are applied to the model by stochastic techniques. The proposed multi-objective model has been tested on the non-real benchmark system (standard IEEE 5-bus test system). The simulation results show that the proposed model improves the reserve capacity, emission, and system losses.
AB - Energy hubs (EH) are known as multi-carrier systems that integrate multiple energy resources to enable greater flexibility in the energy provision. In this study, a multi-objective decision-making framework is proposed to determine the optimal scheduling of EHs. The proposed model considers the total cost of the EH, emissions, power losses, and average reserve of EH, simultaneously. These objectives are prioritized based on the EH preference that can be different for each EH. In this strategy, the cost of the EH has the highest priority and is considered as the main objective. The emission, system losses, and system reserve simultaneously have been considered as secondary objectives. According to the prioritization made among objectives, a lexicography optimization is performed in which cost minimization is considered in the first step, and the secondary objectives are evaluated in the second step of optimization. The intermittency nature of the electrical and thermal loads, renewable generation, and market prices are applied to the model by stochastic techniques. The proposed multi-objective model has been tested on the non-real benchmark system (standard IEEE 5-bus test system). The simulation results show that the proposed model improves the reserve capacity, emission, and system losses.
KW - Energy hub
KW - Multi-objective decision-making
KW - Demand Response Program
KW - Renewable generation
KW - Emission reduction
UR - http://www.scopus.com/inward/record.url?scp=85103693204&partnerID=8YFLogxK
U2 - 10.1016/j.epsr.2021.107183
DO - 10.1016/j.epsr.2021.107183
M3 - Journal article
SN - 0378-7796
VL - 196
JO - Electric Power Systems Research
JF - Electric Power Systems Research
M1 - 107183
ER -