基于城市能源互联网的配电网规划优化研究
CSTR:
作者:
通讯作者:

戎士敏(1973—),男,本科,高级工程师,主要从事电力市场预测及能源互联网规划研究;E-mail:ptdt1234@163.com

中图分类号:

TM863

基金项目:

河北省电力有限责任公司科技攻关项目(HB002080003X)


Research on distribution network planning optimization based onurban energy internet
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    摘要:

    传统配电网规划方法忽略了分布式电源接入配电网前后功率值的变化,导致其规划后建设投资成本较高。为此,提出基于城市能源互联网的配电网规划优化方法。首先,计算分布式电源接入配电网前后的发电功率值,通过功率值对比分析分布式电源接入配电网前后负荷变化,确定城市能源互联网对配电网影响因素。随后,基于该影响因素建立负荷预测模型,预测配电网在城市能源互联网影响下的负荷变化。最后,设置电力供需平衡、潮流容量、电压和电流等约束条件,建立配电网规划优化模型。仿真结果表明:该配电网规划优化方法的预测区域负荷准确度高,功率预测性能与实际值相差极小,并且该方法可降低配电网规划建设投资和经营的总成本,实现配电网规划的合理化。

    Abstract:

    The traditional distribution network planning method ignores of the power difference before and after the distributed generation is connected to the distribution network, which leads to a high construction cost. Therefore, a distribution network planning optimization method is proposed on the basis of the urban energy internet. Firstly, the power of the distributed generator is calculated before and after it is connected to the distribution network. And then, the load changes are compared in terms of the power change, so as to determine the influencing factors of the urban energy internet on the distribution network. Based on these influencing factors, a load forecasting model is established to predict the change of distribution network load under the influence of urban energy internet. Finally, the constraints are introduced for power supply and demand balance, power flow capacity, voltage and current, etc., and the distribution network planning optimization model is constructed successfully. An example is included for verification. It is shown that the regional load forecasting is precise, and the difference between the forecasted performance and the actual value is small. The proposed method can reduce the investment and operation cost of distribution network planning and construction to realize a reasonable distribution network planning.

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戎士敏,王聪,贺春光,等.基于城市能源互联网的配电网规划优化研究[J].电力科学与技术学报,2022,37(5):66-72.
Rong Shimin, Wang Cong, He Chunguang, et al. Research on distribution network planning optimization based onurban energy internet[J]. Journal of Electric Power Science and Technology,2022,37(5):66-72.

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  • 在线发布日期: 2022-12-01
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