文章摘要
孙冰莹,杨水丽,刘宗歧,等.辅助单台火电机组AGC的电池储能系统双层优化配置方法[J].电力系统自动化,2019,43(8):69-76. DOI: 10.7500/AEPS20180628008.
SUN Bingying,YANG Shuili,LIU Zongqi, et al.Optimal Bi-level Configuration Method for Battery Energy Storage System Assisting AGC of Single Thermal Power Unit[J].Automation of Electric Power Systems,2019,43(8):69-76. DOI: 10.7500/AEPS20180628008.
辅助单台火电机组AGC的电池储能系统双层优化配置方法
Optimal Bi-level Configuration Method for Battery Energy Storage System Assisting AGC of Single Thermal Power Unit
DOI:10.7500/AEPS20180628008
关键词: 自动发电控制  电池储能系统  容量配置  自适应全局和声搜索  多目标粒子群优化
KeyWords: automatic control generation(AGC)  battery energy storage system  capacity configuration  self-adaptive global harmony search(SGHS)  multiple objects particle swarm optimization(MOPSO)
上网日期:2019-02-01
基金项目:国家自然科学基金资助项目(51507160);国家电网公司科技项目“兆瓦级电池储能提供电网调频应用后评估技术”(DG71-17-005)
作者单位E-mail
孙冰莹 新能源与储能运行控制国家重点实验室(中国电力科学研究院有限公司), 北京市 100192 sunby2015@163.com 
杨水丽 新能源与储能运行控制国家重点实验室(中国电力科学研究院有限公司), 北京市 100192  
刘宗歧 华北电力大学电气与电子工程学院, 北京市 102206  
王金浩 国网山西省电力公司电力科学研究院, 山西省太原市 030001  
常潇 国网山西省电力公司电力科学研究院, 山西省太原市 030001  
朱燕芳 国网山西省电力公司, 山西省太原市 030001  
摘要:
      随着储能辅助火电机组自动发电控制(AGC)调频示范工程的开展,储能容量优化配置逐渐受到业界关注。针对当前电池储能系统(BESS)容量配置存在的技术与经济性难以制衡的问题,建立辅助单台机组AGC的BESS双层容量配置模型,运行层基于所设计充放电策略以等效寿命损耗和偏差电量比最小为目标以满足运行技术性需求;经济层以Kp补偿收益及全寿命周期成本下年均净收益最大化得出BESS额定功率和容量配置。其次,构建自适应全局和声搜索-多目标粒子群嵌套算法,对辅助机组AGC调频的BESS配置双层模型求解寻优。最后,基于1 000 MW机组某运行日数据,通过仿真计算得出优化配置结果,并分析其经济性和技术性指标,验证该方法的可行性和有效性。
Abstract:
      With implementation of demonstrative projects on storage device assisting thermal power units with automatic control generation(AGC)in power grid, extensive attention is drawn by research on storage optimal configuration. However, it is difficult to reach a balance between technicality and economy for battery energy storage system(BESS)applied in such case. Aiming at this issue, firstly, this paper builds a double-layer model. The first layer, named as operation layer, is set to minimize both equivalent life loss of BESS and bias electricity for optimal operation, while the second layer, named as economy layer, is built to maximize annual benefit under Kp reimbursement. Secondly, a nested algorithm of self-adaptive global harmony search and multiple objects particle swarm optimization(SGHS-MOPSO)algorithm is constructed to solve this model. Finally, based on operation data of a 1 000 MW-rated unit, capacity configuration results of BESS are optimized by simulation calculation and the feasibility and validity of the proposed method are verified by comparing indicators both in technology and economy.
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