OPTIMAL CONTROL STRATEGY OF NET LOAD BASED ON SCENARIO CLUSTERING

Han Zhongya; Zhang Guobin; Zhai Yuzhuo; Niu Yuguang

doi:10.19912/j.0254-0096.tynxb.2022-0362

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Acta Energiae Solaris Sinica ›› 2023, Vol. 44 ›› Issue (7) : 39-47. DOI: 10.19912/j.0254-0096.tynxb.2022-0362

OPTIMAL CONTROL STRATEGY OF NET LOAD BASED ON SCENARIO CLUSTERING

Han Zhongya¹, Zhang Guobin², Zhai Yuzhuo¹, Niu Yuguang¹

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Abstract

With the large proportion of intermittent power sources such as wind power connected to the grid, the impact of power supply fluctuation on the power grid cannot be ignored. At the same time, the fluctuation of power load on the demand side also affects the operation of the power grid. For the above problems, most of them adopt a single control strategy. Although the control effect can meet the requirements, different wind power and load characteristics are not analyzed under different conditions. It is easy to cause unnecessary waste of resources by using a unified control strategy. This paper presents an optimal control based on scene clustering. Scene clustering considers two factors, output fluctuation of wind farm and power load fluctuation on demand side. Extract typical scenarios of net load data. Based on their different characteristics, and different control schemes are proposed to achieve the optimization purpose. Finally, an example is analyzed to verify the feasibility and effectiveness of this optimal control scheme, which can reduce costs and improve user comfort without reducing the original control effect.

Key words

demand side management / energy storage / wind power / particle swarm optimization（PSO） / optimal control systems / scene clustering

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Han Zhongya, Zhang Guobin, Zhai Yuzhuo, Niu Yuguang. OPTIMAL CONTROL STRATEGY OF NET LOAD BASED ON SCENARIO CLUSTERING[J]. Acta Energiae Solaris Sinica. 2023, 44(7): 39-47 https://doi.org/10.19912/j.0254-0096.tynxb.2022-0362

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