Operation strategy of offshore island microgrid taking account of user comfort

陈宇星; 殷自力; 郭茜婷; 林晨杰; 郑传良

doi:10.3969/j.issn.1009-1831.2023.06.006

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Operation strategy of offshore island microgrid taking account of user comfort

更新时间：2026-03-05

- Operation strategy of offshore island microgrid taking account of user comfort
- Vol. 25, Issue 6, (2023)
- 作者机构：
  
  1. 国网福建省电力有限公司,福州,350003
  2. 国网福建省电力有限公司宁德供电公司,福建,宁德,352101
- 作者简介：
- 基金信息：
- DOI：10.3969/j.issn.1009-1831.2023.06.006
  CLC：
- Published：2023
- 稿件说明：
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陈宇星, 殷自力, 郭茜婷, et al. Operation strategy of offshore island microgrid taking account of user comfort[J]. 2023, 25(6).
DOI：

陈宇星, 殷自力, 郭茜婷, et al. Operation strategy of offshore island microgrid taking account of user comfort[J]. 2023, 25(6). DOI： 10.3969/j.issn.1009-1831.2023.06.006.

摘要

在高比例新能源的孤岛微电网中

风电的间歇性与波动性会增加微电网运行调度的不确定性

严重情况下可能对系统安全稳定运行造成影响。为此

提出一种计及用户舒适度需求侧管理的海上孤岛微电网运行策略。首先

针对微电网内不同类型负荷用户进行精细化建模以及差异化需求响应策略

提出不同类型用户的评判指标。其次

综合用户舒适度最优以及微电网日运行成本最小为目标建立日前调度框架

并利用yalmip+cplex求解器进行求解得到日前调度计划。最后

以某海上孤岛微电网为例

在不同风电场景下验证所提策略的有效性与普适性。

Abstract

In the islanded microgrid with a high proportion of new energy

the intermittency and volatility of wind power will increase the uncertainty of the operation and dispatching of the microgrid

which may affect the safety and stablility of the system operation in serious cases. Therefore

an operation strategy of offshore island microgrid considering demand side management of user comfort is proposed. Firstly

the fine modeling and differentiated demand response strategies are carried out for different types of load users in the microgrid

and the evaluation indexes of different types of users are proposed. Then

the day-ahead scheduling framework is established to optimize the user comfort and minimize the daily operation cost of the microgrid

and the day-ahead scheduling plan is obtained by using yalmip+cplex solver. Finally

an offshore island microgrid is taken as an example to verify the effectiveness and universality of the proposed strategy in different wind power scenarios.

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