Optimal Operation of Smart Distribution Networks Considering Demand-side Response

YANG Xuexin; ZHANG Zhiquan; LI Zhenkun

doi:10.19725/j.cnki.1007-2322.2024.0131

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Optimal Operation of Smart Distribution Networks Considering Demand-side Response

更新时间：2026-10-19

- Optimal Operation of Smart Distribution Networks Considering Demand-side Response
- Vol. 43, Issue 5, Pages: 811-820(2026)
- 作者机构：
  
  海上风电技术教育部工程研究中心(上海电力大学), 上海市杨浦区,200090
- 作者简介：
- 基金信息：
- DOI：10.19725/j.cnki.1007-2322.2024.0131
  CLC： 5
- Published：2026
- 稿件说明：
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YANG Xuexin, ZHANG Zhiquan, LI Zhenkun. Optimal Operation of Smart Distribution Networks Considering Demand-side Response[J]. 2026, 43(5): 811-820.
DOI：

YANG Xuexin, ZHANG Zhiquan, LI Zhenkun. Optimal Operation of Smart Distribution Networks Considering Demand-side Response[J]. 2026, 43(5): 811-820. DOI： 10.19725/j.cnki.1007-2322.2024.0131.

摘要

随着高比例风光等电源的接入，配电网运行的不确定性显著加剧。为提高配电网新能源的消纳率，保证配电网安全稳定的运行，提出考虑需求侧响应的多时间尺度配电网优化运行策略。通过挖掘需求侧响应资源，可以根据需求侧响应资源特性的不同，制定多时间尺度的优化运行策略。在日前阶段确定响应速度较慢的电力资源，日内滚动与实时修正阶段以日前调度计划为基础，并综合考虑系统运行成本、开关损耗成本、弃风光惩罚成本、负荷补偿成本，实现更贴近实际运行数据下的配电网最优运行。最后，通过改进的IEEE 33节点进行算例仿真，验证模型能够有效降低由于预测误差给电网带来的不确定性，同时也可以提高配电网运行的经济型和供电的可靠性。

Abstract

With the integration of a high proportion of wind and solar power

the operation of the distribution network is subject to significant uncertainty. To improve the consumption rate of new energy in distribution networks while ensuring the safe and stable operation of distribution network

an optimal operation strategy for multi-time scale distribution networks is proposed considering demand-side response. By mining the demand-side response resources

the multi-time scale optimal operation strategy is formulated according to the different characteristics of these resources. In the day-ahead stage

the power resources with slower response speed are determined. The intra-day rolling and real-time correction phases are executed based on the day-ahead dispatching scheme

comprehensively considering the system operation cost

switching loss cost

curtailment penalty cost

and load compensation cost

so as to achieve optimal operation of the distribution network that closely aligns with the actual operation data. Finally

the simulation on an improved IEEE 33-bus system verifies the capability of the proposed model in mitigating the uncertainty caused by the prediction error to the power grid. Furthermore

it can improve the economic operation of the distribution network and enhance the reliability of the power supply.

关键词

Keywords

references

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