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. DOI: 10.7500/AEPS20180329002.
, et al.Optimization of Generation Scheduling Considering Battery Energy Storage Life Model[J].Automation of Electric Power Systems. 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: Optimal Generation Scheduling  Unit Commitment  Battery Energy Storage  Battery Life Model  Depth of Dis-charge
上网日期:2018-10-10
基金项目:国家自然科学基金重点项目
作者单位E-mail
王荔妍 清华大学电机系 wly17@mails.tsinghua.edu.cn 
陈启鑫 清华大学电机系 qxchen@tsinghua.edu.cn 
何冠楠 卡耐基梅隆大学工程与公共政策系 guannanh@andrew.cmu.edu 
钟国彬 广东电网有限责任公司电力科学研究院 zhongguobin1@163.com 
康重庆 清华大学电机系 cqkang@tsinghua.edu.cn 
摘要:
      电池储能的寿命将受到其运行方式的影响。本文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 to battery degra-dation and economic value 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, two types of battery life models are built considering power and DOD (depth of discharge) respectively, and 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 effectiveness of dif-ferent models is assessed and compared in a case study.
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