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风电消纳目标下基于电量与功率滚动优化的荷源控制方法

朱丹丹 刘文颖 蔡万通 夏鹏 王维洲 梁琛

电力系统自动化2018,Vol.42Issue(5):80-85,119,7.
电力系统自动化2018,Vol.42Issue(5):80-85,119,7.DOI:10.7500/AEPS20170309012

风电消纳目标下基于电量与功率滚动优化的荷源控制方法

Load-Source Coordinated Dispatch Method for Promating Wind Power Accomandation Based on Rolling Optimization of Energy and Power

朱丹丹 1刘文颖 1蔡万通 1夏鹏 1王维洲 2梁琛2

作者信息

  • 1. 新能源电力系统国家重点实验室(华北电力大学),北京市102206
  • 2. 国网甘肃省电力公司电力科学研究院,甘肃省兰州市730050
  • 折叠

摘要

Abstract

With the development of large-scale wind power bases,the restricted consumption of wind power remains a significant problem to be solved.A dispatch method including the intensive energy loads control is proposed based on the analysis of wind power consumption situation and the characteristics of intensive energy loads.As for the day-ahead dispatch, a control model is established to maximize the consumed wind power energy in the focused day with the full use of the regulating ability of discrete adjustable intensive energy loads.And the control model built for the intraday dispatch is to maximize the integrated wind power at the focal moment with the adjustment of continuously adjustable intensive energy loads. Then the dispatch method for the load-source coordination based on the rolling optimization of energy and power is illustrated, which may improve the wind power integration and ease the problem of the blocked wind power.The simulation results of Hexi power grid in Gansu Province have verified the feasibility and effectiveness of the proposed method.

关键词

荷源协调/高载能负荷/风电消纳/多时间尺度

Key words

load-source coordination/intensive energy load/wind power consumption/multi-time scale

引用本文复制引用

朱丹丹,刘文颖,蔡万通,夏鹏,王维洲,梁琛..风电消纳目标下基于电量与功率滚动优化的荷源控制方法[J].电力系统自动化,2018,42(5):80-85,119,7.

基金项目

国家科技支撑计划资助项目(2015BAA01B04) (2015BAA01B04)

国家自然科学基金资助项目(51377053) (51377053)

中央高校基本科研业务费专项资金资助项目(2016XS17).This work is supported by National Key Technologies R&D Program(No.2015BAA01B04),National Natural Science Foundation of China(No.51377053)and Fundamental Research Funds for the Central Universities(No.2016XS17). (2016XS17)

电力系统自动化

OA北大核心CSCDCSTPCD

1000-1026

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