RESEARCH ON OPTIMAL DISPATCH ALGORITHM OF HOUSEHOLD LOAD BASED ON DEMAND RESPONSE

Zhang Li; Liu Qinglei; Ai Hengtao; Zhang Tao; Zhang Hongwei

doi:10.19912/j.0254-0096.tynxb.2023-0705

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Acta Energiae Solaris Sinica ›› 2024, Vol. 45 ›› Issue (9) : 131-139. DOI: 10.19912/j.0254-0096.tynxb.2023-0705

RESEARCH ON OPTIMAL DISPATCH ALGORITHM OF HOUSEHOLD LOAD BASED ON DEMAND RESPONSE

Zhang Li^1,2, Liu Qinglei¹, Ai Hengtao¹, Zhang Tao^1,3, Zhang Hongwei⁴

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Abstract

To enhance the load demand response capability of the electricity demand side, and to reduce the electricity cost for household users and the peak-to-valley difference of the daily load curve, in the paper, an optimized household load scheduling strategy based on improved multi-objective particle swarm optimization is proposed. Firstly, the running characteristics of household load are analyzed and its classification model is built. Then, with power balance and energy storage charging and discharging power as constraints, a load optimization scheduling model aiming at power consumption cost and load peak-to-peak ratio is established. Secondly, adaptive inertial weights and mean Euclidean distance strategies are used to improve the multi-objective PSO, and the model is optimized and solved. Finally, the feasibility and effectiveness of the model and algorithm is verified by a simulation example, which provides a variety of reference schemes for users to participate in demand response.

Key words

PV / energy storage / particle swarm optimization（PSO） / multi-objective optimization / peak to average power ratio（PAPR） / Pareto principle / demand response

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Zhang Li, Liu Qinglei, Ai Hengtao, Zhang Tao, Zhang Hongwei. RESEARCH ON OPTIMAL DISPATCH ALGORITHM OF HOUSEHOLD LOAD BASED ON DEMAND RESPONSE[J]. Acta Energiae Solaris Sinica. 2024, 45(9): 131-139 https://doi.org/10.19912/j.0254-0096.tynxb.2023-0705

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