考虑虚拟电厂的电力系统灵活性提升方案研究
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作者单位:

(1. 国家电网公司 华北分部,北京 100053;2. 电力系统及发电设备控制和仿真国家重点实验室(清华大学 电机系),北京 100084)

作者简介:

韩亮(1987),男,山东泰安人,博士,主要研究方向为电力市场。

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中图分类号:

TM743;TK019

基金项目:

国家自然科学基金资助项目(52107102)


Power system flexibility improvement scheme considering virtual power plant
Author:
Affiliation:

(1. North China Branch, State Grid Corporation of China, Beijing 100053, China;2. State Key Lab of Control and Simulation of Power Systems and Generation Equipments(Dept. of Electrical Engineering, Tsinghua University),Beijing 100084, China)

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    摘要:

    双碳目标下能源低碳转型将推动风电、光伏等新能源逐步成为我国供电主体,但是间歇性出力的新能源需要足够的系统调节能力来支撑其稳定供电,这给新型电力系统的灵活性带来了极大挑战。基于京津唐新型电力系统运行需求,首先提出了火电机组灵活性改造、基于虚拟电厂的需求侧响应以及基于柔性负荷的需求侧响应等灵活性提升策略,其次构建了考虑灵活性资源约束、多日协调运行的全时序系统运行模型,最后通过京津唐规划系统进行了实证模拟,实现兼顾运行经济、环保性、效率多维效益的灵活性提升方案筛选,为未来新型电力系统规划建设提供了参考。

    Abstract:

    Low carbon energy transformation under the dualcarbon target will promote wind power, photovoltaic and other new energy gradually become the main power supply in China. But intermittent output of new energy needs enough system regulation ability to support its stable power supply, which brings great challenges to the flexibility of new power system. Based on the operation requirements of Beijing -Tianjin -Tangshan new power system,some flexibility improvement strategies are put forward, such as the flexibility transformation of thermal power units, the comprehensive demand response based on virtual power plants and the response mechanism based on flexible loads. Secondly, a full time series system operation model considering the flexibility resource constraints and multi-day coordinated operation is constructed. Finally, an empirical simulation is carried out through the Beijing -Tianjin-Tangshan planning system to realize the flexibility improvement scheme selection considering the operation economy, environmental protection and efficiency multi-dimensional benefits, which provides a reference for the future planning and construction of new power systems.

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引用本文

韩 亮,张维静,胡娱欧,张 晶,郭鸿业,陈启鑫.考虑虚拟电厂的电力系统灵活性提升方案研究[J].电力需求侧管理,2022,24(4):14-20

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  • 收稿日期:2022-03-10
  • 最后修改日期:2022-05-08
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  • 在线发布日期: 2022-08-11
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