| 引用本文: | 王永权,张沛超,姚垚.空调负荷的混合逻辑动态建模和自治控制方法[J].电力自动化设备,2020,40(2): |
| WANG Yongquan,ZHANG Peichao,YAO Yao.Mixed logical dynamic modeling and autonomous control method for ACLs[J].Electric Power Automation Equipment,2020,40(2): |
|
| 摘要: |
| 随机性可再生能源接入微网降低了联络线功率的可调控性与可计划性，聚合大规模空调负荷(ACL)的灵活性可以有效解决这个问题。首先建立了单台ACL的混合逻辑动态(MLD)模型，ACL可基于MLD模型响应控制信号并自行求解开关序列，实现自治控制。其次，为了提高微网对联络线计划功率的跟踪精度，利用空调集群的调节能力校正微网内可再生能源和负荷的日前预测偏差。最后，利用含1 000台ACL的微网算例进行了仿真计算。仿真结果表明，利用ACL的自治性，该方法能够聚合大规模ACL的灵活性提高微网联络线功率的可计划性，同时有效保证用户的舒适度与设备安全。 |
| 关键词: 微网 空调负荷 信息物理系统 混合逻辑动态 自治控制 日前联络线计划 |
| DOI：10.16081/j.epae.201912007 |
| 分类号:TM715 |
| 基金项目:国家重点研发计划项目(2017YFB0903000) |
|
| Mixed logical dynamic modeling and autonomous control method for ACLs |
|
WANG Yongquan, ZHANG Peichao, YAO Yao
|
|
Key Laboratory of Control of Power Transmission and Conversion of Ministry of Education, Shanghai Jiao Tong University, Shanghai 200240, China
|
| Abstract: |
| Random renewable energy connected to microgrid reduces the controlability and schedule ability of the tie-line power. Aggregating flexibility of large-scale ACLs(Air Conditioning Loads) can solve this problem effectively. Firstly, single ACL is modeled by using the MLD(Mixed Logical Dynamic) method, and then solves the ON/OFF sequence autonomously to respond to a control signal based on the MLD model. Secondly, the flexibility of ACL population is used to correct day-ahead forecasting errors of renewable energies and loads in the microgrid, which improves the tracking accuracy of the microgrid for the day-ahead schedule power of tie-line. Finally, simulations are carried out on a microgrid case with 1 000 ACLs. The simulative results show that the proposed method can aggregate the flexibility of a large scale of autonomous ACLs to improve the schedule ability of the tie-line power in microgrid, while effectively ensuring users’ comfort and device safety. |
| Key words: microgrid ACL cyber-physical system MLD autonomous control day-ahead schedule of tie-line |
