需求侧能量枢纽和储能协同提升风电消纳和平抑负荷峰谷模型
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TM93

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国家自然科学基金(51900172);国网河北省电力有限公司科技项目(kj2020061)


Demand side energy hub and energy storage cooperate to smooth peak and valley and improve wind power consumption model
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    摘要:

    针对含风电和能量枢纽主动配电网负荷峰谷波动加大及弃风问题,提出一种需求侧能量枢纽和储能协同平抑负荷峰谷及提升风电消纳模型。在分析需求侧源荷储模型基础上,分析其对弃风和峰谷差影响,获取等效负荷曲线;提出跟随各时段负荷变化和风电穿透率制定风电供冷热电权重系数,改进能量枢纽进冷/热电耦合运行模式,横向通过多能互补提升风电消纳水平;同时协同能量枢纽(EH)改进耦合运行模式,确定储能跟随主动配电网状态的充放电控制策略,纵向转移电量平抑峰谷且提升风电消纳水平,从而给出一种能量枢纽和储能协同平抑峰谷和提升风电消纳的模型。最后采用改进的IEEE 33节点配网系统算例仿真,结果表明文中模型能有效提高主动配电网风电消纳,且对削峰填谷作用明显。

    Abstract:

    In order to solve the problems in active distribution network which incorporates wind power and energy hub, including the escalating power peakvalley fluctuation and wind curtailment, a model for power peakvalley regulation, as well as the wind power accommodation enhancement, is proposed by adjusting both the energy hub and energy storage on the demand side. Through analyzing the model of the sourceload storage on the demand side, the influence of both the wind power accommodation and the power peakvalley difference is assessed, then the equivalent load curve is obtained. The wind powerbased combined coolingheatingandpower weight coefficient is proposed according to the load change and wind power penetration rate during each period. The coupling operation mode of cooling and thermoelectricity in energy hubs is improved, and the level of the wind power accommodation is enhanced through the multienergy complementarity. Meanwhile, the coupling operation mode can also be improved via the proposed model and the EH to determine the charge and discharge controlling strategy of energy storage adapting the operation state of active distribution network. The power peak and valley can be suppressed via the vertically transfer of power, and the accommodation level of wind power can be improved. Finally, an improved IEEE 33node distribution system is included to simulate the model. The results show that this model can effectively improve the wind power accommodation in the active distribution network, along with the peak reduction and valley filling in power load.

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鲁鹏,田浩,武伟鸣,等.需求侧能量枢纽和储能协同提升风电消纳和平抑负荷峰谷模型[J].电力科学与技术学报,2021,36(1):42-51.
LU Peng, TIAN Hao, WU Weiming, et al. Demand side energy hub and energy storage cooperate to smooth peak and valley and improve wind power consumption model[J]. Journal of Electric Power Science and Technology,2021,36(1):42-51.

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  • 在线发布日期: 2021-04-16
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