TY - CHAP
T1 - Two-Stage Stochastic Market Clearing of Energy and Reserve in the Presence of Coupled Fuel Cell-Based Hydrogen Storage System with Renewable Resources
AU - Agabalaye-Rahvar, Masoud
AU - Mansour-Saatloo, Amin
AU - Mirazaei, Mohammad Amin
AU - Mohammadi-Ivatloo, Behnam
AU - Zare, Kazem
AU - Anvari-Moghaddam, Amjad
PY - 2022
Y1 - 2022
N2 - The enhancing influence level of renewable energy sources (RESs), particularly wind energy sources (WESs), leads to technical challenges in power system operation procedures, such as changing the traditional operation scheduling. Due to maintaining the power balance among generation and utilization, the outstanding facility to tackle the intermittency essence of WES is a fuel cell-based hydrogen storage system (HSS). Furthermore, providing more operational flexibility has been obtained from taking into account both energy and reserve markets. For this purpose, the current chapter presents a two-stage stochastic network-constrained market-clearing approach with the integration of fuel cell-based HSS and WES to obtain optimal scheduling of conventional units and provide energy and reserve services. The introduced structure is applied to a six-bus system to specify the applicability and implementation of the model. Numerical results denoted that the integrated fuel cell-based HSS and WES decrease the whole operating expenditure, load shedding, and wind power curtailment.
AB - The enhancing influence level of renewable energy sources (RESs), particularly wind energy sources (WESs), leads to technical challenges in power system operation procedures, such as changing the traditional operation scheduling. Due to maintaining the power balance among generation and utilization, the outstanding facility to tackle the intermittency essence of WES is a fuel cell-based hydrogen storage system (HSS). Furthermore, providing more operational flexibility has been obtained from taking into account both energy and reserve markets. For this purpose, the current chapter presents a two-stage stochastic network-constrained market-clearing approach with the integration of fuel cell-based HSS and WES to obtain optimal scheduling of conventional units and provide energy and reserve services. The introduced structure is applied to a six-bus system to specify the applicability and implementation of the model. Numerical results denoted that the integrated fuel cell-based HSS and WES decrease the whole operating expenditure, load shedding, and wind power curtailment.
KW - Two-stage stochastic programming
KW - Network-constrained scheduling
KW - Energy and reserve market clearing
KW - Fuel cell-based hydrogen storage system
KW - Renewable energy sources
KW - Flexible providing sources
KW - Load shedding
KW - Wind power curtailment
KW - Monte Carlo simulation
KW - Mixed-integer linear programming-based model
KW - Local marginal prices
KW - Congested system
KW - Uncertainty management
KW - Coordinated operation
KW - Generalized algebraic modeling system software
KW - SCENRED tool
UR - http://www.scopus.com/inward/record.url?scp=85125782079&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-87653-1_11
DO - 10.1007/978-3-030-87653-1_11
M3 - Book chapter
SN - 978-3-030-87652-4
T3 - Power Systems
SP - 267
EP - 292
BT - Whole Energy Systems
A2 - Vahidinasab, Vahid
A2 - Mohammadi-Ivatloo, Behnam
PB - Springer
ER -