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源荷储一体化的广义灵活电源双层统筹规划

李海波 鲁宗相 乔颖

电力系统自动化2017,Vol.41Issue(21):46-54,104,10.
电力系统自动化2017,Vol.41Issue(21):46-54,104,10.DOI:10.7500/AEPS20170205002

源荷储一体化的广义灵活电源双层统筹规划

Bi-level Optimal Planning of Generation-Load-Storage Integrated Generalized Flexibility Resource

李海波 1鲁宗相 2乔颖3

作者信息

  • 1. 清华大学电机工程与应用电子技术系,北京市 100084
  • 2. 电力系统及发电设备控制和仿真国家重点实验室,清华大学,北京市 100084
  • 3. 清华四川能源互联网研究院,四川省成都市 610200
  • 折叠

摘要

Abstract

In power systems with high penetration renewable energy,the contradiction between the reduced conventional flexible generation resource and the increased flexibility demand is becoming increasingly serious.According to the flexibility balance principle,the concept of generalized flexibility is proposed and the bi-level optimal planning model including investment decision and production simulation verification is developed.Then the convexity of the planning model is proved and a two stage algorithm proposed based on the maximum net benefit/increment ratio.Finally,through the actual data of a large wind power base in north China,the benchmark scenario is evaluated,and the problem of system flexibility deficiency is analyzed. Meanwhile,the optimal planning for generation-load-storage source is implemented by the proposed model,and the sensitivity analysis for storage and demand response is discussed.The case study indicates that the proposed method can integrate the flexibility assessment in power system planning,which can also quickly conduct the sensitivity analysis to improve the robustness and applicability.

关键词

广义灵活电源/源荷储一体化/双层统筹规划/高比例可再生能源/净收益增量比

Key words

generalized flexibility resource/generation-load-storage integration/bi-level optimal planning/high penetration of renewable energy/net benefit/increment ratio

引用本文复制引用

李海波,鲁宗相,乔颖..源荷储一体化的广义灵活电源双层统筹规划[J].电力系统自动化,2017,41(21):46-54,104,10.

基金项目

国家重点研发计划资助项目(2016YFB0900100) (2016YFB0900100)

国家自然科学基金资助项目(51677099) (51677099)

国家电网公司科技项目(SGGSKY00FJJS1600209).This work is supported by National Key Research and Development Program of China(No.2016YFB0900100),National Natural Science Foundation of China(No.51677099) and State Grid Corporation of China(No.SGGSKY00FJJS1600209). (SGGSKY00FJJS1600209)

电力系统自动化

OA北大核心CSCDCSTPCD

1000-1026

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