TY - JOUR
T1 - Grid inadequacy assessment for high power injection diversity Part II
T2 - Finding grid expansion options
AU - Tio, Adonis E.
AU - Hill, David J.
AU - Ma, Jin
N1 - Funding Information:
A.E.Tio acknowledges the DOST-ERDT Faculty Development Fund of the Republic of the Philippines for sponsoring his degree leading to this research. The authors also acknowledge the University of Sydney HPC service at The University of Sydney for providing high-performance computing access and the Sydney Informatics Hub, a Core Research Facility of the University of Sydney, for providing technical training and assistance in using the HPC cluster.
Funding Information:
A.E.Tio acknowledges the DOST-ERDT Faculty Development Fund of the Republic of the Philippines for sponsoring his degree leading to this research. The authors also acknowledge the University of Sydney HPC service at The University of Sydney for providing high-performance computing access and the Sydney Informatics Hub, a Core Research Facility of the University of Sydney, for providing technical training and assistance in using the HPC cluster.
Publisher Copyright:
© 2020 Elsevier Ltd
PY - 2020/6
Y1 - 2020/6
N2 - Power injection scenarios will become more diverse in the future as intermittent renewable generation, dynamic loads, and energy storage devices become more prevalent especially under a market environment. Grid planners need new planning tools to find long-term grid expansion options that promote competition and equitable market access by accommodating diverse scenarios. Part I of the paper presented a framework and a set of metrics for measuring inherent grid inadequacy for high power injection diversity using the power flow infeasible set. This paper uses the ideas in Part I to develop an approach that finds grid expansion options by directly minimizing inherent grid inadequacy as objective. We present one implementation using a robust-like optimization model that minimizes the size of a scenario-based representation of the power flow infeasible set. We show using case studies that the proposed approach using inherent grid inadequacy metrics can identify solutions distinct from other approaches and better in some measure.
AB - Power injection scenarios will become more diverse in the future as intermittent renewable generation, dynamic loads, and energy storage devices become more prevalent especially under a market environment. Grid planners need new planning tools to find long-term grid expansion options that promote competition and equitable market access by accommodating diverse scenarios. Part I of the paper presented a framework and a set of metrics for measuring inherent grid inadequacy for high power injection diversity using the power flow infeasible set. This paper uses the ideas in Part I to develop an approach that finds grid expansion options by directly minimizing inherent grid inadequacy as objective. We present one implementation using a robust-like optimization model that minimizes the size of a scenario-based representation of the power flow infeasible set. We show using case studies that the proposed approach using inherent grid inadequacy metrics can identify solutions distinct from other approaches and better in some measure.
KW - Future grids
KW - Inadequacy metrics
KW - Power injection diversity
KW - Power system planning
KW - Transmission network expansion
UR - https://www.scopus.com/pages/publications/85077651764
U2 - 10.1016/j.ijepes.2020.105831
DO - 10.1016/j.ijepes.2020.105831
M3 - Article
AN - SCOPUS:85077651764
SN - 0142-0615
VL - 118
JO - International Journal of Electrical Power and Energy Systems
JF - International Journal of Electrical Power and Energy Systems
M1 - 105831
ER -