Optimal planning of AC-DC hybrid transmission and distributed energy resource system: Review and prospects

With the highly-extensive integration of distributed renewable energy resources (DER) into the grid, the power distribution system has changed greatly in the structure, function and operating characteristics. On this ground, An AC-DC hybrid DER system becomes necessary for effective management and c...

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Bibliographic Details
Published in:CSEE Journal of Power and Energy Systems 2019-09, Vol.5 (3), p.409-422
Main Authors: Liu, Xianglong, Liu, Youbo
Format: Article
Language:English
Subjects:
AC-DC hybrid
Algorithms
collaborative planning
Computer simulation
configuration optimization
Configurations
Converters
Coupling
distributed energy resource system
Distributed generation
distribution system
Electric power distribution
Energy sources
Energy transmission
Equilibrium flow
Hybrid systems
Modelling
Morphology
Optimization
Physical properties
Power flow
Steady state models
Uncertainty analysis
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Summary:With the highly-extensive integration of distributed renewable energy resources (DER) into the grid, the power distribution system has changed greatly in the structure, function and operating characteristics. On this ground, An AC-DC hybrid DER system becomes necessary for effective management and control over DER. This paper first summarizes the physical characteristics and morphological evolution of AC-DC hybrid DER system. The impact of these new features on system configuration planning is analyzed with respect to its flexible networking, rich operation control modes, and tight source-network-load-storage coupling. Then, based on a review of the existing research, problems and technical difficulties are figured out in terms of converter modeling, steady-state analysis, power flow calculation, operating scenarios management, and optimization model solution. In light of the problems and difficulties, a framework for the configuration optimization of AC-DC hybrid DER systems is proposed. At last, the paper provides a prospect of key technologies from six aspects including morphology forecasting, coupling interaction analysis, uncertainty modeling, operation simulation, optimization model solving algorithm and comprehensive scheme evaluation.
ISSN:2096-0042
2096-0042
DOI:10.17775/CSEEJPES.2019.00540