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A Generation Expansion Planning Method for Power Systems With Large-scale New Energy

Authors: Wang Xiangxu; Wang Feng; Xu Yizheng; Huifen Chen;

A Generation Expansion Planning Method for Power Systems With Large-scale New Energy

Abstract

As one of the significant measures to realize energy transition, the proportion of new energy in energy supply side becomes increasingly high. However, the fluctuation and randomness of new energy output bring great challenges to the conventional generation expansion planning (GEP). Under the framework of combining investment decision and operation analysis, a novel GEP method for integrating large-scale new energy generation was proposed, which mainly includes: adopting a monthly time resolution in investment decision-making stage to consider the seasonal fluctuation and rapid construction characteristic of new energy; adding an ultra-short-term operation model to operation analysis stage, which can be used to evaluate the system adjustment capacity during typical periods with sharp changes of net load (such as morning peak period and evening sunset period) and reflect the value of flexible resources in line with the operation of new energy; furthermore, through the coordinated iteration and rolling correction between investment decision and multi-time scale operation assessment, the optimized planning scheme with comprehensive benefits of economy, environment, reliability and flexibility was obtained. Finally, to provide a reference for future research, the key problems that can be further studied are discussed.

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average