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虚拟电厂下计及分布式风电与储能系统的电力系统优化调度

王天旺 高赟 姜孟 杜涛

电力建设2016,Vol.37Issue(11):108-114,7.
电力建设2016,Vol.37Issue(11):108-114,7.DOI:10.3969/j.issn.1000-7229.2016.11.016

虚拟电厂下计及分布式风电与储能系统的电力系统优化调度

Power System Optimal Scheduling including Distributed Wind Power and Energy Storage System via Virtual Power Plant

王天旺 1高赟 1姜孟 2杜涛3

作者信息

  • 1. 西安科技大学电气与控制工程学院,西安市710054
  • 2. 云南电网有限责任公司西双版纳供电局,云南省西双版纳市666100
  • 3. 国网青岛供电公司,山东省青岛市, 266002
  • 折叠

摘要

Abstract

Penetration of renewable energy has been increasing in the power system for its environmental benefits. With the prosperity of smart grid technologies, more integration of renewable distributed generation is expected. Wind power is one of the renewable energy resources which have the most potential in both commercial and technical fields. This paper proposes a virtual power plant composed of distributed wind turbines and energy storage system to participate in the operation of power system, and establishes the optimal scheduling model for the power system with the virtual power plant. The proposed model takes the optimal scheduling of power and reserve capacity into account at the same time, and adopts conditional value at risk ( CVaR ) for the risk management of the total system operation cost. Without the network modification, the virtual power plant is more applicable to the scheduling and management of distributed renewable energy resources that are dispersedly located. More economic benefits can be obtained through the distributed renewable energy scheduling based on the virtual power plant compared to the conventional co-operation of wind power and energy storage. Furthermore, the risk of system operation can be reduced at the same time.

关键词

虚拟电厂(VPP)/分布式电源/风电/储能设备/优化调度

Key words

virtual power plant( VPP)/distributed generation/wind power/energy storage/optimal scheduling

分类

信息技术与安全科学

引用本文复制引用

王天旺,高赟,姜孟,杜涛..虚拟电厂下计及分布式风电与储能系统的电力系统优化调度[J].电力建设,2016,37(11):108-114,7.

基金项目

国家自然科学基金项目( 51337006 ) ( 51337006 )

陕西省教育厅专项科研计划资助项目(2013JK0867) Project supported by the National Natural Science Foundation of China (51337006) (2013JK0867)

电力建设

OA北大核心CSTPCD

1000-7229

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