考虑系统故障随机性的电热联合系统备用与DNE分布鲁棒协同优化调度

刘鸿鹏; 李宏伟; 马建伟; 陈继开; 张伟

doi:10.19912/j.0254-0096.tynxb.2022-1528

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太阳能学报 ›› 2024, Vol. 45 ›› Issue (2) : 318-327. DOI: 10.19912/j.0254-0096.tynxb.2022-1528

考虑系统故障随机性的电热联合系统备用与DNE分布鲁棒协同优化调度

刘鸿鹏¹, 李宏伟¹, 马建伟^1,2, 陈继开¹, 张伟¹

作者信息 +

DISTRIBUTIONALLY ROBUST COOPERATIVE OPTIMAL SCHEDULING OF RESERVE AND DNE OF INTEGRATED ELECTRICITY AND HEATING SYSTEM FAULT RANDOMNESS

Liu Hongpeng¹, Li Hongwei¹, Ma Jianwei^1,2, Chen Jikai¹, Zhang Wei¹

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文章历史 +

摘要

为实现电热联合系统的安全稳定运行,提高可再生能源消纳,提出考虑系统设备故障随机性的电热联合系统备用与“不超过”（DNE）分布鲁棒协同优化调度模型。首先,以常规机组和热电联产机组运行成本最小为综合优化目标,电功率平衡约束、热功率平衡约束等为约束条件,建立确定性电热联合系统优化调度模型;其次,在综合考虑风电功率、设备故障随机性以及DNE极限基础上建立电热联合系统分布鲁棒优化调度模型;最后,以修改的9节点系统为例,验证了所提模型可有效提高风电消纳率和系统的经济性。

Abstract

To achieve safe and stable operation of the integrated electric heating systems （IEHS） and improve the consumption of renewable energy, a distributionally robust cooperative optimal dispatching model of reserve and do-not-exceed （DNE） of IEHS considering the equipment fault randomness is proposed. Firstly, the deterministic optimal dispatching model of IEHS is established with the minimum operation cost of conventional units and combined heat and power units as the comprehensive optimization objective, and the power/heat balance and safety constraints as the constraints conditions; Secondly, the distributionally robust optimal dispatching model of IEHS is established, which comprehensively considers the wind power, equipment fault randomness and DNE limit. Finally, taking a modified 9-bus system is taken as an example, it is verified that the proposed model can effectively improve the wind power consumption rate and system economy.

导出引用

刘鸿鹏, 李宏伟, 马建伟, 陈继开, 张伟. 考虑系统故障随机性的电热联合系统备用与DNE分布鲁棒协同优化调度[J]. 太阳能学报. 2024, 45(2): 318-327 https://doi.org/10.19912/j.0254-0096.tynxb.2022-1528

Liu Hongpeng, Li Hongwei, Ma Jianwei, Chen Jikai, Zhang Wei. DISTRIBUTIONALLY ROBUST COOPERATIVE OPTIMAL SCHEDULING OF RESERVE AND DNE OF INTEGRATED ELECTRICITY AND HEATING SYSTEM FAULT RANDOMNESS[J]. Acta Energiae Solaris Sinica. 2024, 45(2): 318-327 https://doi.org/10.19912/j.0254-0096.tynxb.2022-1528

中图分类号： TM734

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