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

Mohammad Amin Mirzaei, Morteza Nazari-Heris, Behnam Mohammadi-Ivatloo, Kazem Zare, Mousa Marzband, Miadreza Shafie-khah, Amjad Anvari-Moghaddam, João P. S. Catalão

Research output: Contribution to journalArticlepeer-review

10 Downloads (Pure)

Abstract

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.
Original languageEnglish
Number of pages10
JournalIEEE Systems Journal
Early online date8 Jun 2020
DOIs
Publication statusE-pub ahead of print - 8 Jun 2020

Fingerprint Dive into the research topics of 'Network-Constrained Joint Energy and Flexible Ramping Reserve Market Clearing of Power- and Heat-Based Energy Systems: A Two-Stage Hybrid IGDT–Stochastic Framework'. Together they form a unique fingerprint.

Cite this