| 引用本文: | 余洋,权丽,贾雨龙,米增强.平抑新能源功率波动的聚合温控负荷改进模型预测控制[J].电力自动化设备,2021,41(3): |
| YU Yang,QUAN Li,JIA Yulong,MI Zengqiang.Improved model predictive control of aggregated thermostatically controlled load for power fluctuation suppression of new energy[J].Electric Power Automation Equipment,2021,41(3): |
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| 摘要: |
| 利用需求侧聚合温控负荷(ATCLs)提供负荷跟踪辅助服务以平抑新能源功率波动是一种经济、有效的方法，但对ATCLs的控制可能会影响用户的舒适度。为此，提出一种考虑用户舒适度的ATCLs平衡新能源功率波动控制方法。首先，采用人体热舒适性评价指标预测平均投票和预测不满意度得到夏季室内舒适温度范围，结合实验方法进一步确定2次调节间最大温度波动范围；然后，利用ATCLs双线性模型，将舒适温度范围和最大温度波动范围作为约束条件，提出一种基于Lyapunov函数的改进模型预测控制(MPC)方法，该方法减少了传统MPC的计算量并缩短了其执行延时，Lyapunov直接法保证了控制的收敛性，且分布式控制的引入降低了对通信系统的要求。仿真结果表明，所提方法在兼顾用户舒适度的前提下，快速平衡供用电之间的功率偏差，提高了电力系统对间歇式新能源的消纳能力。 |
| 关键词: 负荷跟踪 模型预测控制 聚合温控负荷 Lyapunov函数 分布式控制 |
| DOI：10.16081/j.epae.202011009 |
| 分类号:TM73 |
| 基金项目:2018年度国家重点研发计划“政府间国际科技创新合作/港澳台科技创新合作”重点专项项目(2018YFE0122200);2018国家电网公司总部科技项目(KJGW2018-014) |
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| Improved model predictive control of aggregated thermostatically controlled load for power fluctuation suppression of new energy |
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YU Yang1,2, QUAN Li2, JIA Yulong2, MI Zengqiang1,2
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1.State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University, Baoding 071003, China;2.Key Laboratory of Distributed Energy Storage and Microgrid of Hebei Province, North China Electric Power University, Baoding 071003, China
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| Abstract: |
| It is an economic and effective method to use ATCLs(Aggregated Thermostatically Controlled Loads) at demand side to provide auxiliary service of load tracking for smoothing the power fluctuation of new energy, but the control of ATCLs may affect user’s comfort, for which, a control method of ATCLs considering user’s comfort is proposed to suppress power fluctuation of new energy. Firstly, the comfortable indoor temperature range in summer is obtained by using the human body thermal comfort evaluation indexes of PMV(Predicted Mean Vote) and PPD(Predicted Percent Dissatisfied),and the maximum temperature fluctuation range between two adjustments is further determined by combining the experimental method. Secondly, an improved MPC(Model Predictive Control) method based on Lyapunov function is proposed by using the ATCLs bilinear model, which takes the comfortable temperature range and the maximum temperature fluctuation range as constraints. The proposed method reduces the calculation amount and shortens the execution delay of traditional MPC, Lyapunov direct method ensures the convergence of control, and the distributed control is introduced to reduce the requirement of communication system. The simulative results show that the proposed method balances the power deviation between generation and consumption quickly under the premise of considering user’s comfort, and improves the absorption ability of power system to intermittent new energy. |
| Key words: load tracking model predictive control aggregated thermostatically controlled loads Lyapunov function distributed control |
