商业型虚拟发电厂调度优化策略

LE Jian

您当前的位置：

首页 >

文章列表页 >

商业型虚拟发电厂调度优化策略

更新时间：2025-08-13

- 商业型虚拟发电厂调度优化策略
- Automation of Electric Power Systems Vol. 40, Issue 13, Pages: 159-167(2016)
- 作者机构：
  
  武汉大学电气工程学院,湖北省,武汉市,430072
- 作者简介：
- 基金信息：
- DOI：
  CLC：
- Published：2016
- 稿件说明：
移动端阅览
LE Jian. [J]. Automation of electric power systems, 2016, 40(13): 159-167.
DOI：

LE Jian. [J]. Automation of electric power systems, 2016, 40(13): 159-167. DOI：

摘要

虚拟发电厂是实现分布式电源安全、可靠和经济地接入配电网运行的有效模式之一。文中对商业型虚拟发电厂调度优化策略的研究现状进行了综述。首先介绍了虚拟发电厂的概念、控制框架体系和参与的电力市场

从调度优化模型的建立及模型求解等方面就商业型虚拟发电厂参与各种市场的调度优化策略进行了分析

重点就应对不平衡功率调度措施和报价策略进行了详细介绍和评述。最后指出了商业型虚拟发电厂调度优化策略存在的问题和未来发展的方法。

Abstract

Virtual power plant(VPP)has been considered to be one of the most effective ways to achieve the secure

reliable and economic operation of power system with distributed energy resources accessed. The dispatch optimization strategies of the commercial VPP(CVPP)are reviewed. The general concept

control framework

and available energy markets for VPP are introduced at first. Then optimization strategies of the CVPP participating various markets are analyzed containing the designing and solution of dispatch optimization model. The dispatch measures coping to the unbalanced power and the bidding strategy are introduced and reviewed in detail. Finally

the existing problems and future development involved in the dispatch optimization of CVPP are pointed out. This work is supported by State Grid Corporation of China(No. PD71-14-003).

关键词

Keywords

references

Views

2070

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Fast Active Power Distribution Method for Wind Farms Considering Fatigue Loads of Wind Turbines

Application of Analytical Target Cascading in Iterative Bidding Mechanism of Complete Competitive Power Generation Market

Related Author

PAN Shenkai

GAO Bingtuan

MAO Yongheng

GUAN Yifei

JING Zhaoxia

WU Mian

XU Yuting

ZHAO Yuxuan

Related Institution

Electric Power Research Institute of State Grid Shandong Electric Power Company

School of Electrical Engineering, Southeast University

School of Electric Power, South China University of Technology

Guangzhou Power Supply Bureau of Guangdong Power Grid of China Southern Power Grid

The Hong Kong Polytechnic University

⁰