TY - GEN
T1 - Combined economic and stability analysis of a microgrid
T2 - 2017 IEEE Manchester PowerTech, Powertech 2017
AU - Sepulveda, Carlos
AU - Moreno, Rodrigo
AU - Mendoza-Araya, Patricio
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2017/7/13
Y1 - 2017/7/13
N2 - Both economics and stability analysis are critical to operate electricity networks in an efficient and secure manner, especially in the context of microgrids, where more complex stability phenomena may arise. In this vein, we propose a combined economic and stability model implemented through a hierarchical approach, where a master problem determines the economic system dispatch regardless of stability considerations and then a slave subproblem attempts to stabilize the master's solution through the optimization of control gains. If the economic dispatch solution determined by the master problem cannot be stabilized by slave's adjustments of control gains, a feasibility cut is generated and added to the master problem to calculate a new, more stable dispatch solution (master and slave are run iteratively). We demonstrate that control gains can be co-optimized with power outputs of generating units (in real time) to obtain more economically efficient and secure dispatch solutions and therefore that economics and stability analysis can be combined in a single framework by using advanced optimization techniques.
AB - Both economics and stability analysis are critical to operate electricity networks in an efficient and secure manner, especially in the context of microgrids, where more complex stability phenomena may arise. In this vein, we propose a combined economic and stability model implemented through a hierarchical approach, where a master problem determines the economic system dispatch regardless of stability considerations and then a slave subproblem attempts to stabilize the master's solution through the optimization of control gains. If the economic dispatch solution determined by the master problem cannot be stabilized by slave's adjustments of control gains, a feasibility cut is generated and added to the master problem to calculate a new, more stable dispatch solution (master and slave are run iteratively). We demonstrate that control gains can be co-optimized with power outputs of generating units (in real time) to obtain more economically efficient and secure dispatch solutions and therefore that economics and stability analysis can be combined in a single framework by using advanced optimization techniques.
KW - Co-optimization
KW - Energy management systems
KW - Power system economics
KW - Small signal stability
UR - https://www.scopus.com/pages/publications/85034771873
U2 - 10.1109/PTC.2017.7981241
DO - 10.1109/PTC.2017.7981241
M3 - Conference contribution
AN - SCOPUS:85034771873
T3 - 2017 IEEE Manchester PowerTech, Powertech 2017
BT - 2017 IEEE Manchester PowerTech, Powertech 2017
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 18 June 2017 through 22 June 2017
ER -