| 引用本文: | 陈丽娟,姜宇轩,汪春.改善电厂调频性能的储能策略研究和容量配置[J].电力自动化设备,2017,37(8): |
| CHEN Lijuan,JIANG Yuxuan,WANG Chun.Strategy and capacity of energy storage for improving AGC performance of power plant[J].Electric Power Automation Equipment,2017,37(8): |
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| 摘要: |
| 具有快速充放电特性的储能技术，作为一种新的调频方式已逐步进入多国的辅助服务市场，参与到传统机组的自动发电控制(AGC)中。基于华北地区的辅助服务补偿政策，提出了改善电厂调频性能的储能充放电策略和容量配置方法。首先，根据政策中AGC考核指标Kp值的定义，提出调节速率、调节精度、响应时间3项指标的计算方法，并制定出提升调节性能、降低响应时间的储能充放电策略。同时，为了延长储能的使用寿命，制定了电池荷电状态的越限回归策略。在分析储能各项成本和收益的基础上，建立了以净收益最大为目标函数的储能经济性模型。最后，通过具体算例，对使用该策略前后机组的AGC性能进行对比分析并采用差分进化算法计算出了机组配置储能的最优容量。结果表明，使用储能策略可以显著提升机组的Kp值，带来明显的调频收益。 |
| 关键词: 自动发电控制 储能 控制策略 经济评估 最优容量 |
| DOI：10.16081/j.issn.1006-6047.2017.08.007 |
| 分类号:TM761 |
| 基金项目:国家电网公司科技项目(NY71-16-040) |
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| Strategy and capacity of energy storage for improving AGC performance of power plant |
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CHEN Lijuan1, JIANG Yuxuan1, WANG Chun2
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1.School of Electrical Engineering, Southeast University, Nanjing 210096, China;2.China Electric Power Research Institute, Beijing 100192, China
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| Abstract: |
| With rapid charge/discharge characteristics, energy storage technologies have gradually entered the ancillary service markets of many countries as a new way of frequency control to participate in the AGC(Automatic Generation Control) of traditional unit. Based on the compensation policy of ancillary services in North China, a charge/discharge strategy and a capacity configuration method of energy storage are proposed to improve the AGC performance of power plant. According to the definition of AGC assessment index Kp of the policy, methods for calculating the adjustment rate, adjustment accuracy and response time are proposed and a charge/discharge strategy of energy storage for enhancing the adjustment performance and reducing the response time is developed. An off-limit regression scheme of SOC(State Of Charge) is set to extend the lifetime of energy storage. Based on the cost and benefit analysis, an economic energy storage model with the maximum net income as its objective function is established. With a practical example, the AGC performances of a unit before and after applying this strategy are analyzed and compared, and its optimal energy storage capacity is calculated with differential Evolution algorithm. Results show that the proposed strategy significantly improves Kp with obvious frequency control benefits. |
| Key words: automatic generation control energy storage control strategies economic evaluation optimal capacity |
