Network-Constrained Joint Energy and Flexible Ramping Reserve Market Clearing of Power- and Heat-Based Energy Systems: A Two-Stage Hybrid IGDT-Stochastic Framework

• Type: Article in International Scientific Journal
• Date: 2021

Authors

Mohammad Amin Mirzaei (Author) Other; Morteza Nazari-Heris (Author) Other; Behnam Mohammadi-Ivatloo (Author) Other; Kazem Zare (Author) Other; Mousa Marzband (Author) Other; Miadreza Shafie-Khah (Author) Other; Amjad Anvari-Moghaddam (Author) Other; João P. S. Catalão (Author) FEUP

Journal

Title: IEEE Systems Journal

Vol. 15

Pages: 1547-1556

ISSN: 1932-8184

Publisher: IEEE

Indexing

ISI Web of Knowledge - 51 Citations

Scopus - 48 Citations

Other information

Authenticus ID: P-00V-1AZ

DOI: 10.1109/jsyst.2020.2996952

Abstract (EN): 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.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 10