含风/光/抽水蓄能并计及负荷响应的海岛微网优化配置

JING Zhaoxia

您当前的位置：

首页 >

文章列表页 >

含风/光/抽水蓄能并计及负荷响应的海岛微网优化配置

更新时间：2025-08-13

- 含风/光/抽水蓄能并计及负荷响应的海岛微网优化配置
- Automation of Electric Power Systems Vol. 41, Issue 1, Pages: 65-72(2017)
- 作者机构：
  
  华南理工大学电力学院,广东省,广州市,510640
- 作者简介：
- 基金信息：
- DOI：
  CLC：
- Published：2017
- 稿件说明：
移动端阅览
JING Zhaoxia. [J]. Automation of electric power systems, 2017, 41(1): 65-72.
DOI：

JING Zhaoxia. [J]. Automation of electric power systems, 2017, 41(1): 65-72. DOI：

摘要

利用可再生能源的微网是解决小型海岛供能问题的一种理想方案，但是高昂的投资成本阻碍了它的应用。为此，针对地理条件允许的海岛，使用微型抽水蓄能系统储能，同时以负荷响应参与度标度居民的负荷响应参与意愿，并将可时移电器视为能源资源参与微网的配置优化，提出了考虑负荷响应的含风/光/抽水蓄能的海岛微网优化配置模型，并利用粒子群算法对微网中主要设备的数量或容量进行优化。算例验证了所提方法的有效性，家用可时移电器的负荷响应及抽水蓄能替代蓄电池储能可显著减少微网投资成本。此外还对负荷总量、可时移电器功率，以及抽水蓄能系统水头高度对配置成本的影响进行了敏感度分析。

Abstract

The stand-alone microgrid with renewable energy sources(RES)integrated is considered one of the best solutions to provide electricity supply for small islands

but exorbitant investment barricades its application. For this reason

micro-pumped storage(MPS)is used as the energy storage system(ESS)for islands with good geographical conditions

and deferrable appliances are treated as virtual power resource to take part in the planning and operation. Household acceptance of demand response is indicated by the demand response participation degree(DRPD)

a capacity configuration optimization model is proposed with wind/solar/pumped storage and the demand response of household appliances in island microgrid taken into account. The particle swarm optimization(PSO)algorithm is used to get the optimal sizing of all major devices. The results of case studies demonstrate that the proposed method is effective

and demand response of deferrable appliances and the application of MPS can significantly reduce island microgrid investment. An investment sensitivity is analyzed on the total load

the deferrable appliance load and the water head of the pumped storage system.

关键词

Keywords

references

Views

4913

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

基于多状态建模的独立型微网优化配置

Regulation Performance-oriented Bi-level Optimal Configuration Strategy of Hybrid Energy Storage for Thermal Power-Energy Storage Frequency Regulation

Combined Optimal Configuration of μPMU for Three-phase Unbalanced Distribution Network Considering Network Reconstruction

Optimal Configuration of Siting and Sizing for Grid-forming Battery Energy Storage Station Based on Multi-timescale Regulation

Related Author

YU Jinlong

YAN Gangui

SHA Qianli

LI Junhui

ZHAN Shuo

LI Yongyue

QIAO Xin

JI Xingquan

Related Institution

College of Electric Power Engineering, Shanghai University of Electric Power

Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology, Ministry of Education (Northeast Electric Power University)

College of Electrical Engineering and Automation, Shandong University of Science and Technology

Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education (Shandong University)

Shandong Senter Electronic Co., Ltd.

⁰