计及柔性负荷与电动船舶的港口微电网多时间尺度优化调度

李浩; 李黄强; 向昆; 杨凌曦; 马辉

doi:10.11930/j.issn.1004-9649.202507065

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计及柔性负荷与电动船舶的港口微电网多时间尺度优化调度

新能源与储能 | 更新时间：2026-07-01

- 计及柔性负荷与电动船舶的港口微电网多时间尺度优化调度
- Multi-time scale optimal scheduling of port microgrids considering flexible loads and electric ships
- 中国电力 2026年59卷第6期页码：133-144
- 作者机构：
  
  1. 三峡大学电气与新能源学院（智慧能源技术湖北省工程研究中心）,湖北,宜昌,443002
  2. 国网湖北省电力有限公司宜昌供电公司,湖北,宜昌,443000
- 作者简介：
- 基金信息：
  
  国家自然科学基金资助项目（52377191）;湖北省自然科学基金面上资助项目（2024AFB584）。
- DOI：10.11930/j.issn.1004-9649.202507065
  中图分类号：
- 网络首发：2026-06-22，
  
  纸质出版：2026
- 稿件说明：
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李浩, 李黄强, 向昆, 杨凌曦, 马辉. 计及柔性负荷与电动船舶的港口微电网多时间尺度优化调度[J]. 中国电力, 2026, 59(6): 133-144.

LI Hao, LI Huangqiang, XIANG Kun, et al. Multi-time scale optimal scheduling of port microgrids considering flexible loads and electric ships[J]. 2026, 59(6): 133-144.
李浩, 李黄强, 向昆, 杨凌曦, 马辉. 计及柔性负荷与电动船舶的港口微电网多时间尺度优化调度[J]. 中国电力, 2026, 59(6): 133-144. DOI： 10.11930/j.issn.1004-9649.202507065.

LI Hao, LI Huangqiang, XIANG Kun, et al. Multi-time scale optimal scheduling of port microgrids considering flexible loads and electric ships[J]. 2026, 59(6): 133-144. DOI： 10.11930/j.issn.1004-9649.202507065.

摘要

针对港口微电网的风光消纳能力受限与系统可调节资源利用不足等问题，提出一种计及柔性负荷与电动船舶的港口微电网多时间尺度优化调度策略。首先，建立考虑柔性负荷和电动船舶等可调节资源的港口微电网系统架构。其次，构建港口柔性负荷响应模型与电动船舶充放电模型。在此基础上，构建多时间尺度优化调度模型，日前阶段以系统运行成本最小化为目标，制定柔性负荷基线功率与电动船舶调度计划；日内阶段建立滚动优化模型，通过动态调整柔性负荷响应策略与电动船舶充放电功率，实现源-网-荷-储动态匹配。仿真结果表明：与未考虑柔性负荷、电动船舶与储能的日前调度场景相比，所提方法在日内优化阶段可降低港口微电网总运行成本20.2%，风电就地消纳率提高8.1个百分点。同时，所提方法的经济效益和风电消纳效果均优于单一场景下的调度结果，凸显了多源协同与多时间尺度优化的综合优势。

Abstract

To address the problems of limited wind-solar accommodation capacity and insufficient utilization of adjustable resources in port microgrids

this paper proposes a multi-time scale optimal scheduling strategy for port microgrids considering flexible loads and electric ships. Firstly

the system architecture of the port microgrid is established with consideration of adjustable resources including flexible loads and electric ships. Secondly

the response model of port flexible loads and the charging-discharging model of electric ships are constructed. On this basis

a multi-time scale optimal scheduling model is built. In the day-ahead phase

the flexible loads baseline power and electric ships scheduling plan are formulated with the goal of minimizing the system operation cost; in the intraday phase

a rolling optimization model is established

realizing the dynamic matching of source-grid-load-storage by dynamically adjusting the response strategy of flexible loads and the charging-discharging power of electric ships. Simulation results indicate that compared with the day-ahead scheduling scenarios without considering flexible loads

electric ships and energy storage

the proposed method can reduce the total operating cost of the port microgrid by 20.2% and increase the local wind power accommodation rate by 8.1 percentage points in the intraday optimization phase. Furthermore

the economic benefits and wind power accommodation performance of the proposed method is superior to the scheduling results under single-scenario conditions

highlighting the comprehensive advantages of multi-source coordination and multi-time scale optimization.

关键词

Keywords

references

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