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. 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. 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: 自动控制发电  储能配置  自适应全局和声搜索  多目标粒子群算法
KeyWords: AGC (Automatic Control Generation)  Energy storage configuration  SGHS  MOPSO
上网日期:2019-02-01
基金项目:国家自然科学基金
作者单位E-mail
孙冰莹 中国电力科学研究院有限公司新能源与储能运行控制国家重点实验室 sunby2015@163.com 
杨水丽 中国电力科学研究院有限公司新能源与储能运行控制国家重点实验室 40303126@qq.com 
刘宗歧 华北电力大学电气与电子工程学院 lzq@ncepu.edu.cn 
王金浩 国网山西省电力公司电力科学研究院 kysx2017@163.com 
常潇 国网山西省电力公司电力科学研究院 kysx2017@163.com 
朱燕芳 国网山西省电力公司 zhuyf@163.com 
摘要:
      随着储能辅助火电机组AGC(Automatic Generation Control)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(Battery Energy Storage System, BESS)容量配置存在的技术与经济性难以致衡的问题,本文建立辅助单台机组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1000MW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。 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;多目标粒子群算法
Abstract:
      With implementation of demonstrative projects on storage device assisting thermal power units with AGC (Au-tomatic Control Generation) in power grid, extensive attention is drawn by research on storage optimal configu-ration. 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, of which the first 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) is constructed to solve this model. Finally, based on operation data of a 1000MW-rated unit, capacity configuration of BESS gets optimized and by comparing indicators both in technology and economy, the feasibility of proposed method gets verified. Key words: AGC (Automatic Control Generation); Battery Energy Storage System; Capacity Configuration; SGHS; MOPSO
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