基于碳交易的含大规模光伏发电系统复合储能优化调度

CHE Quanhui

您当前的位置：

首页 >

文章列表页 >

基于碳交易的含大规模光伏发电系统复合储能优化调度

更新时间：2025-08-13

- 基于碳交易的含大规模光伏发电系统复合储能优化调度
- Automation of Electric Power Systems Vol. 43, Issue 3, Pages: 76-82(2019)
- 作者机构：
  
  强电磁工程与新技术国家重点实验室(华中科技大学),湖北省,武汉市,430074
- 作者简介：
- 基金信息：
- DOI：
  CLC：
- Published：2019
- 稿件说明：
移动端阅览
CHE Quanhui. [J]. Automation of electric power systems, 2019, 43(3): 76-82.
DOI：

CHE Quanhui. [J]. Automation of electric power systems, 2019, 43(3): 76-82. DOI：

摘要

为提高电力系统对光伏发电的接纳能力

提出一种基于碳交易的含大规模光伏发电的电池储能-抽水蓄能电力系统复合储能优化调度模型。基于低碳经济理念

将阶梯型碳交易机制引入电力系统经济调度中。采用基于最大最小距离准则的改进K均值聚类算法对光伏发电的出力场景进行有效聚类

在保证光伏发电出力分布特征的前提下削减场景数量;以系统综合运行成本最低为目标

兼顾系统的运行经济性和低碳性

利用电池储能作为功率型储能以平滑光伏电站出力波动

抽水蓄能作为能量型储能参与接入光伏发电后系统的调峰平衡。以改进的IEEE-RTS96系统对所提模型进行仿真分析

算例结果验证了模型的合理性和有效性。

Abstract

In order to improve the integration of photovoltaic power generation in power systems

this paper proposes a carbon trading based scheduling model of hybrid energy storage system consisting of battery energy storage systems and pumped storage units in power systems with large-scale photovoltaic power generation. Based on the concept of low-carbon economy

the ladder-type carbon trading mechanism is introduced to the economic dispatch of power systems. In this model

the output scenarios of the photovoltaic power generation system are effectively clustered by the improved K-means clustering algorithm based on the maximum and minimum distance criteria

to reduce the number of scenarios under the premise of ensuring the output distribution characteristics of photovoltaic power generation system. With the goal of the lowest system operation cost

the operation economy and low carbon of the system

the battery energy storage is taken as power storage to smooth output fluctuations of photovoltaic power plants

and the pumped storage is taken as energy storage to participate in peak-shaving balance after the access of photovoltaic power generation system. Taking the improved IEEE-RTS96 system as an example

the proposed model is simulated and analyzed. The result of the example verifies the rationality and effectiveness of the proposed model.

关键词

Keywords

references

Views

3554

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Optimal Configuration Method for Park-level Integrated Energy System Based on Information Gap Decision Theory-Utility Entropy

Low-carbon Economic Dispatch for Multiple Data Center Virtual Power Plant Based on Spatio-Temporal Collaboration

Multifaceted Day-ahead Low-carbon Trading Method for Integrated Energy Systems Based on Dynamic Electricity-Carbon Demand Response

Related Author

LU Jiafu

LIANG Ning

XU Huihui

XU Yayin

TIAN Yonglin

SHANG Yingzhan

MU Yunfei

WU Zhijun

Related Institution

Institute of Economic Technology of State Grid Gansu Electric Power Company

Faculty of Electric Power Engineering, Kunming University of Science and Technology

Key Laboratory of Smart Energy & Information Technology of Tianjin Municipality (Tianjin University)

Key Laboratory of Smart Grid of Ministry of Education (Tianjin University)

Department of Electrical and Electronic Engineering, The Hong Kong Polytechnic University

⁰