| 引用本文: | 董 锴,蔡新雷,崔艳林,等.基于旋转门算法的电池储能辅助单机跟踪AGC指令控制策略[J].电力系统保护与控制,2022,50(15):147-157. |
| DONG Kai,CAI Xinlei,CUI Yanlin,et al.Tracking AGC commands control strategy of a thermal power unit assisted by batteryenergy storage based on a swing door trending algorithm[J].Power System Protection and Control,2022,50(15):147-157 |
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| 摘要: |
| 针对电池储能辅助单机跟踪AGC指令过程中机组爬坡频次高以及储能动作次数多的问题，提出基于旋转门算法的电池储能辅助单机跟踪AGC指令控制策略。首先，利用旋转门算法对AGC历史数据进行压缩，对压缩结果采用线性插值处理，进一步进行动态更新及实时修正，并结合机组爬坡特性确定机组承担的功率调节指令。然后，将储能系统动态地分为3个电池组，根据储能系统功率调节指令确定电池组动作顺序，进而设计功率分配方法实现储能系统上层功率分配，同时确定各电池组电池单元功率分配原则完成下层功率分配。最后，利用某电厂实际AGC指令对控制策略进行仿真分析，验证了所提策略的有效性。 |
| 关键词: 储能 火电机组 跟踪AGC指令 动态分组 功率分配 |
| DOI：DOI: 10.19783/j.cnki.pspc.211339 |
| 分类号: |
| 基金项目:南方电网公司科技项目资助(036000KK52190005 (GDKJXM20198110)) |
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| Tracking AGC commands control strategy of a thermal power unit assisted by batteryenergy storage based on a swing door trending algorithm |
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DONG Kai1, CAI Xinlei1, CUI Yanlin1, MENG Zijie1, CHEN Dongyang2, 3, YU Yang 2, 3
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1. Electric Power Dispatching Control Center of Guangdong Grid Co., Ltd., Guangzhou 510600, China; 2. State Key
Laboratory of Alternate Electrical Power System with Renewable Energy Sources (North China Electric Power
University), Baoding 071003, China; 3. Key Laboratory of Distributed Energy Storage and Microgrid of
Hebei Province (North China Electric Power University), Baoding 071003, China
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| Abstract: |
| There is a problem of high climb frequencies of a thermal power unit and large reaction times of a battery energy storage system. Thus an AGC commands tracking control strategy of a thermal power unit assisted by a battery energy storage system based on a swing door trending algorithm is proposed. First, historical data of the AGC are compressed by the swing door trending algorithm and linear interpolation is used to deal with the compressed data. Dynamic update and real-time correction are carried out to obtain the power regulation command of the thermal power unit integrated with its climb feature. Then, the battery energy storage system is dynamically divided into three groups and their action sequences are determined by their power regulation commands. The power distribution approach of the battery energy storage system is designed to realize power allocation in upper-layer and the power allocation principle of the cells for the three packs is devised to accomplish power allocation in the lower-layer. Finally, the simulation of the proposed control strategy is conducted using the AGC commands of an actual power plant and its effectiveness is verified.
This work is supported by the Science and Technology Project of China Southern Power Grid Co., Ltd. (No. 036000KK52190005 (GDKJXM20198110)). |
| Key words: energy storage thermal power unit tracking AGC commands dynamic grouping power allocation |
