文章摘要
王荔妍,陈启鑫,何冠楠,等.考虑电池储能寿命模型的发电计划优化[J].电力系统自动化,2019,43(8):93-100. DOI: 10.7500/AEPS20180329002.
WANG Liyan,CHEN Qixin,HE Guannan, et al.Optimization of Generation Scheduling Considering Battery Energy Storage Life Model[J].Automation of Electric Power Systems,2019,43(8):93-100. DOI: 10.7500/AEPS20180329002.
考虑电池储能寿命模型的发电计划优化
Optimization of Generation Scheduling Considering Battery Energy Storage Life Model
DOI:10.7500/AEPS20180329002
关键词: 发电计划优化  机组组合  电池储能  电池寿命模型  放电深度
KeyWords: generation scheduling optimization  unit commitment  battery energy storage  battery life model  depth of discharge(DOD)
上网日期:2018-10-10
基金项目:国家自然科学基金重点国际(地区)合作研究项目(51620105007);中国南方电网科学研究院有限责任公司科技项目(GDKJXM00000039)
作者单位E-mail
王荔妍 清华大学电机工程与应用电子技术系, 北京市 100084
电力系统及发电设备控制和仿真国家重点实验室(清华大学), 北京市 100084 
 
陈启鑫 清华大学电机工程与应用电子技术系, 北京市 100084
电力系统及发电设备控制和仿真国家重点实验室(清华大学), 北京市 100084 
qxchen@tsinghua.edu.cn 
何冠楠 卡耐基梅隆大学工程与公共政策系, 匹兹堡 15213, 美国  
钟国彬 广东电网有限责任公司电力科学研究院, 广东省广州市 510080  
康重庆 清华大学电机工程与应用电子技术系, 北京市 100084
电力系统及发电设备控制和仿真国家重点实验室(清华大学), 北京市 100084 
 
摘要:
      电池储能的寿命将受到其运行方式的影响。对规模化电池储能接入电力系统的发电计划优化问题进行了研究,重点考虑了电池储能的寿命模型及其在不同运行方式下的折损与经济性。文中依据电池寿命的影响机理和半经验模型,针对全系统优化的简化建模的要求,归纳出了基于交换功率和基于放电深度两类电池寿命模型,其中基于放电深度的模型可进一步区分为考虑日循环次数和等效循环次数两种计算方式。接着,将电池寿命模型分别内嵌到电力系统的机组组合问题中进行一体化的优化求解,构建了一个混合整数线性规划的数学模型。最后,通过算例分析比较了不同模型的适用性与建模效果。
Abstract:
      The service life of battery storage is influenced by its short-term operation. With special concern about battery degradation and economic values in different operation manners, optimal generation scheduling of power system with large-scale battery storage is studied considering battery life model. Based on battery degradation mechanism and the semi-empirical model and requirement of simplified modelling on system optimization, two types of battery life models based on power exchange and depth of discharge(DOD)are built, respectively. The DOD-based model can be further simplified by the number of cycles per day or the equivalent full cycle in a day. Battery life models are integrated into the unit commitment problem of the power system, then a mixed integer linear programming model is constructed to solve the optimization. Finally, the feasibility and modelling effect of different models are compared by case studies.
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