| 引用本文: | 孙国强,刘玥池,韩海腾,曹阳,拾天辰,卫志农,罗璇瑶,廖星星.基于碳势-负荷数据双向反馈机制的配电网调度策略[J].电力自动化设备,2024,44(12):231-238. |
| SUN Guoqiang,LIU Yuechi,HAN Haiteng,CAO Yang,SHI Tianchen,WEI Zhinong,LUO Xuanyao,LIAO Xingxing.Dispatch strategy for distribution network based on carbon intensity-load data bi-directional feedback mechanism[J].Electric Power Automation Equipment,2024,44(12):231-238. |
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| 摘要: |
| 为降低配电网碳排放并增强负荷需求响应的合理性和有序性，提出一种基于碳势-负荷数据双向反馈机制的配电网低碳调度策略。根据碳排放流理论，在配电网层面构建负荷和储能系统碳排放流模型；建立需求响应优先级函数以评估各类负荷的需求响应能力，并基于该优先级设计相应的需求响应策略；结合配电网的经济性和低碳性，设计上层碳势数据与下层负荷数据双向反馈机制，基于该机制建立配电网双层低碳调度模型。改进的IEEE 33节点系统算例仿真结果表明，所提模型能够显著提高光伏消纳率，降低系统运行成本和碳排放量。 |
| 关键词: 碳排放流 需求响应 低碳调度 双向反馈机制 配电网 |
| DOI：10.16081/j.epae.202408016 |
| 分类号:TM73 |
| 基金项目:国家自然科学基金资助项目(52077060,52307090)；江西省重大科技研发专项项目(20223AAE02011) |
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| Dispatch strategy for distribution network based on carbon intensity-load data bi-directional feedback mechanism |
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SUN Guoqiang1, LIU Yuechi1, HAN Haiteng1, CAO Yang1, SHI Tianchen1, WEI Zhinong1, LUO Xuanyao2, LIAO Xingxing2
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1.School of Electrical and Power Engineering, Hohai University, Nanjing 211100, China;2.Power China Jiangxi Electric Power Engineering Co.,Ltd.,Nanchang 330000, China
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| Abstract: |
| In order to reduce carbon emission in distribution network and enhance the rationality and orderliness of load demand response, a low-carbon dispatch strategy for distribution network based on carbon potential-load data bi-directional feedback mechanism is proposed. According to the carbon emission flow theory, a carbon emission flow model of load and energy storage system is constructed at the distribution network level. A demand response priority function is established to evaluate the demand response capability of various types of loads, and a corresponding demand response strategy is designed based on this priority. Combining the economy and low-carbon of distribution network, a bi-directional feedback mechanism between upper-level carbon potential data and lower-level load data is designed, and a two-layer low-carbon dispatch model for distribution network is established based on this mechanism. The example simulative results of an improved IEEE 33-bus system show that the proposed model can significantly enhance photovoltaic accommodation rate, and reduce system operation cost and carbon emission. |
| Key words: carbon emission flow demand response low carbon dispatch bi-directional feedback mechanism distribution network |
