| 引用本文: | 金坤坎,郝丽丽,闫新旭,陈俊,刘海涛,郝思鹏.考虑热浪或寒潮下城市电网供需安全的风-光-抽蓄协同规划[J].电力自动化设备,2025,45(10):30-39,58. |
| JIN Kunkan,HAO Lili,YAN Xinxu,CHEN Jun,LIU Haitao,HAO Sipeng.Collaborative planning of wind-photovoltaic-pumped storage considering supply-demand security of urban power grid under heat wave or cold wave[J].Electric Power Automation Equipment,2025,45(10):30-39,58. |
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| 摘要: |
| 频发的热浪、寒潮等极端温度事件易导致新能源电源出力下降、负荷需求上升，城市电网内部供需矛盾日益突出。为此，系统分析热浪与寒潮对城市电网源、网、荷侧的影响机理，并建立电力、电量充裕度指标来评估系统供需关系。结合温度阈值和电力、电量充裕度来定义电网的热浪、寒潮事件，通过城市电网历史数据聚类得到包含正常运行与热浪、寒潮事件的电网典型运行场景。建立双层规划模型，以年综合成本最小为目标进行风-光-抽蓄容量协同扩展规划，并通过混沌粒子群算法进行求解。通过算例仿真验证所提方法不仅可以提高城市电网容量扩展规划的经济性，还可以提高电网对热浪、寒潮的抵御能力。 |
| 关键词: 热浪 寒潮 城市电网 供需安全 抽水蓄能电站 协同规划 |
| DOI：10.16081/j.epae.202507032 |
| 分类号: |
| 基金项目:江苏省配电网智能技术与装备协同创新中心开放基金项目(XTCX202402) |
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| Collaborative planning of wind-photovoltaic-pumped storage considering supply-demand security of urban power grid under heat wave or cold wave |
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JIN Kunkan1, HAO Lili1, YAN Xinxu1, CHEN Jun1, LIU Haitao2, HAO Sipeng2
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1.College of Electrical Engineering & Control Science, Nanjing Tech University, Nanjing 211816, China;2.School of Electric Power Engineering, Nanjing Institute of Technology, Nanjing 211167, China
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| Abstract: |
| Frequent extreme temperature events, such as heat wave and cold wave can easily lead to the decline of renewable energy power output and the increase of load demand, and the supply-demand contradiction in urban power grid is becoming increasingly prominent. Therefore, the influence mechanism of heat wave and cold wave on the source, network and load sides of urban power grid is systematically analyzed, and the electric power adequacy and electric quantity adequacy indexes are established to assess the system supply-demand relationship. The heat wave and cold wave events of power grid are defined by combi-ning the temperature threshold, electric power adequacy and electric quantity adequacy. The typical operation scenarios of power grid including normal operation, heat wave events and cold wave events are obtained by clustering the historical data of urban power grid. A bi-level planning model is established, and the coordinated capacity expansion planning of wind-photovoltaic-pumped storage is carried out with the minimum annual comprehensive cost as the object, and the chaotic particle swarm algorithm is used for solution. The example simulation verifies that the proposed method can not only enhance the economy of capacity expansion planning for urban power grid, but also improve the resilience of power grid to heat wave and cold wave. |
| Key words: heat wave cold wave urban power grid supply-demand security pumped storage power station collaborative planning |
