TY - JOUR
T1 - Network-Constrained Joint Energy and Flexible Ramping Reserve Market Clearing of Power- and Heat-Based Energy Systems
T2 - A Two-Stage Hybrid IGDT–Stochastic Framework
AU - Mirzaei, Mohammad Amin
AU - Nazari-Heris, Morteza
AU - Mohammadi-Ivatloo, Behnam
AU - Zare, Kazem
AU - Marzband, Mousa
AU - Shafie-khah, Miadreza
AU - Anvari-Moghaddam, Amjad
AU - Catalão, João P. S.
N1 - Funding information: This work was supported in part by “HeatReFlex-Green and Flexible District Heating/Cooling” project funded by Danida Fellowship Centre and in part by the Ministry of Foreign Affairs of Denmark to conduct research in growth and transition countries under Grant 18-M06-AAU.
PY - 2021/6/1
Y1 - 2021/6/1
N2 - This article proposes a new two-stage hybrid stochastic–information gap-decision theory (IGDT) based on the network-constrained unit commitment framework. The model is applied for the market clearing of joint energy and flexible ramping reserve in integrated heat- and power-based energy systems. The uncertainties of load demands and wind power generation are studied using the Monte Carlo simulation method and IGDT, respectively. The proposed model considers both risk-averse and risk-seeker strategies, which enables the independent system operator to provide flexible decisions in meeting system uncertainties in real-time dispatch. Moreover, the effect of feasible operating regions of the combined heat and power (CHP) plants on energy and flexible ramping reserve market and operation cost of the system is investigated. The proposed model is implemented on a test system to verify the effectiveness of the introduced two-stage hybrid framework. The analysis of the obtained results demonstrates that the variation of heat demand is effective on power and flexible ramping reserve supplied by CHP units.
AB - This article proposes a new two-stage hybrid stochastic–information gap-decision theory (IGDT) based on the network-constrained unit commitment framework. The model is applied for the market clearing of joint energy and flexible ramping reserve in integrated heat- and power-based energy systems. The uncertainties of load demands and wind power generation are studied using the Monte Carlo simulation method and IGDT, respectively. The proposed model considers both risk-averse and risk-seeker strategies, which enables the independent system operator to provide flexible decisions in meeting system uncertainties in real-time dispatch. Moreover, the effect of feasible operating regions of the combined heat and power (CHP) plants on energy and flexible ramping reserve market and operation cost of the system is investigated. The proposed model is implemented on a test system to verify the effectiveness of the introduced two-stage hybrid framework. The analysis of the obtained results demonstrates that the variation of heat demand is effective on power and flexible ramping reserve supplied by CHP units.
KW - Combined heat and power (CHP)
KW - flexible ramping reserve
KW - hybrid IGDT–stochastic
KW - information gap-decision theory (IGDT)
KW - market clearing
KW - stochastic programming
UR - https://www.scopus.com/pages/publications/85110893529
U2 - 10.1109/JSYST.2020.2996952
DO - 10.1109/JSYST.2020.2996952
M3 - Article
SN - 1932-8184
VL - 15
SP - 1547
EP - 1556
JO - IEEE Systems Journal
JF - IEEE Systems Journal
IS - 2
ER -
