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提升火电机组AGC性能的混合储能优化控制与容量规划

牛阳 张峰 张辉 梁军 杨立滨 宋光辉

电力系统自动化2016,Vol.40Issue(10):38-45,83,9.
电力系统自动化2016,Vol.40Issue(10):38-45,83,9.DOI:10.7500/AEPS20150724003

提升火电机组AGC性能的混合储能优化控制与容量规划

Optimal Control Strategy and Capacity Planning of Hybrid Energy Storage System for Improving AGC Performance of Thermal Power Units

牛阳 1张峰 1张辉 2梁军 1杨立滨 3宋光辉4

作者信息

  • 1. 电网智能化调度与控制教育部重点实验室 山东大学,山东省济南市 250061
  • 2. 国网山东省电力公司,山东省济南市 250001
  • 3. 国网青海省电力公司电力科学研究院,青海省西宁市 810000
  • 4. 国网山东省德州市供电公司,山东省德州市 253000
  • 折叠

摘要

Abstract

By taking the hybrid energy storage system(ESS)composed of the value regulated lead acid(VRLA)battery and the vanadium redox battery(VRB)as an example,in view of the intrinsic characteristics of conventional unit frequency regulation, a charge and discharge strategy and optimal capacity planning of hybrid ESS participating in the automatic generation control (AGC) by assisting conventional units is studied.Firstly,according to the characteristics of conventional unit frequency regulation, an optimal control strategy taking into account the suppression of reverse frequency regulation, dead zone oscillation,ESS over discharge,and forced state of charge (SOC) homing is proposed.Secondly,considering the cost of ESS configuration and the frequency regulation income of power generating units,a capacity planning model is developed.Finally, based on the particle swarm optimization(PSO) algorithm,the simulating calculation of the actual operation data of a power station is conducted.The results show that the frequency regulation performance and the running cost of the method are both better than those of the conventional unit frequency regulation.

关键词

自动发电控制/频率调节/混合储能/充放电策略/容量规划

Key words

automatic generation control (AGC)/frequency regulation/hybrid energy storage/charge and discharge strategy/capacity planning

引用本文复制引用

牛阳,张峰,张辉,梁军,杨立滨,宋光辉..提升火电机组AGC性能的混合储能优化控制与容量规划[J].电力系统自动化,2016,40(10):38-45,83,9.

基金项目

国家自然科学基金资助项目(51307101) (51307101)

山东省优秀中青年科学家科研奖励基金计划资助项目(BS2013NJ011) (BS2013NJ011)

青海省光伏发电并网技术重点实验室项目(2014-Z-Y34A)。 (2014-Z-Y34A)

电力系统自动化

OA北大核心CSCDCSTPCD

1000-1026

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