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风光储有功功率多元协调控制优化与测试验证OA

Optimization and Testing Verification of Multi-Dimensional Coordinated Control of Active Power for Wind-Solar-Storage Systems

中文摘要英文摘要

随着我国储能产业的高质量发展,内蒙古电网新能源配建储能电站占比逐年提升,电网对风光储场站的有功支撑能力提出了更高的要求.基于RT-LAB实时仿真平台,提出了一种风光储联合控制自动发电控制系统和风光储数字模型相结合的数模混合仿真方法,开展了风光储多元协调控制策略及关键参数优化研究.针对现场应用中风光储协调控制的三类典型策略(储能减少弃风弃光策略、储能顶峰供电策略及储能优先一次调频策略),开展了仿真测试.通过现场参数优化和测试评估,验证了上述控制策略的有效性和可靠性,提高了风光储场站对电网频率的主动支撑能力.

With the high-quality development of the energy storage industry,the proportion of new energy storage stations built in the Inner Mongolia power grid has been increasing year by year,and the power grid has raised higher requirements for the active power support capabilities for wind-solar-storage stations.This paper proposes a digital analog hybrid simulation method combining wind solar energy storage joint control AGC system and wind solar energy storage digital model based on the RT-LAB real-time simulation platform.Research is conducted on the multi-dimensional coordinated control strategies and key parameter optimization for wind-solar-storage systems.Simulation tests are conducted on three typical strategies for coordinated control of wind-solar-storage systems on-site,induding energy storage to reduce wind and solar curtailment,energy storage peak shaving and supply strategy,and energy storage prioritization for primary frequency regulation.Through field parameter optimization and testing evaluation,the effectiveness and reliability of these control strategies are verified.The results demonstrate that the proposed strategies enhance the active support capability of wind-solar-storage stations for grid frequency regulation.

丛雨;刘鸿清

内蒙古电力(集团)有限责任公司内蒙古电力科学研究院分公司,呼和浩特 010020内蒙古电力(集团)有限责任公司内蒙古电力科学研究院分公司,呼和浩特 010020

信息技术与安全科学

风光储场站数模混合仿真自动发电控制一次调频参数优化

wind-solar-storage stationdigital-analog hybrid simulationautomatic power generation controlprimary frequency regulationparameter optimization

《内蒙古电力技术》 2026 (3)

12-20,9

国家重点研发计划"大规模可再生能源基地特高压多端直流输电外送关键技术"(2023YFB2405900)

10.19929/j.cnki.nmgdljs.2026.0028

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