Abstract
Aiming at the problem that the load peak-to-valley difference of the power system distribution network is high and the load volatility is large, this paper proposes an intelligent park demand response (DR) day-to-day scheduling strategy considering hybrid heating mode of heat-power linkage (HPL). Firstly, based on the analysis of the original load classification of the intelligent park, the intelligent park user load demand is divided into load replaced by heat (LRH) and load irreplaceable by heat (LIRH), and the energy consumption mode with flexible scale thermoelectric ratio is proposed. Then the minimum variance of the side load curve of the distribution network is taken as the goal, and the optimization model of the intelligent park load scheduling considering the HPL is constructed. The DR strategy considering the HPL is proposed. Finally, the rationality of the proposed scheme is illustrated by the calculation example. The results show that the load peak-to-valley difference and volatility are reduced, and the side load flexibility of the distribution network is enhanced.
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Acknowledgements
This work is funded by China State Grid Hunan Electric Power Co., Ltd. Science and Technology Project (Research on Control Strategy of Precision Load Shedding System of Hunan Power Grid).
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Hu, Z., Lu, J., Wang, X., Xu, Z., Gong, G., Wang, Y. (2020). Intelligent Park Load Scheduling Optimization Method Considering Heat-Power Linkage. In: Xue, Y., Zheng, Y., Rahman, S. (eds) Proceedings of PURPLE MOUNTAIN FORUM 2019-International Forum on Smart Grid Protection and Control. PMF PMF 2019 2021. Lecture Notes in Electrical Engineering, vol 584. Springer, Singapore. https://doi.org/10.1007/978-981-13-9779-0_64
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DOI: https://doi.org/10.1007/978-981-13-9779-0_64
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