计及可调资源动态特性的虚拟电厂多级优化配置

李翔宇; 赵冬梅

doi:10.7500/AEPS20190909011

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计及可调资源动态特性的虚拟电厂多级优化配置

学术研究 | 更新时间：2025-06-16

- 计及可调资源动态特性的虚拟电厂多级优化配置
- Multi-level Optimal Configuration of Virtual Power Plant Considering Dynamic Characteristics of Adjustable Resources
- 电力系统自动化-方正平台 2020年44卷第13期页码：17-24
- 作者机构：
  
  华北电力大学电气与电子工程学院，北京市 102206
- 作者简介：
  
  李翔宇(1988—)，男，通信作者，博士研究生，主要研究方向：新能源并网运行与控制。E-mail：410489024@qq.com
  赵冬梅(1965—)，女，博士，教授，博士生导师，主要研究方向：电力系统分析、稳定和控制、电力市场及新能源并网运行。E-mail：zhao-dm@ncepu.edu.cn
- 基金信息：
  
  国家重点研发计划资助项目(2017YFB0902600)
- DOI：10.7500/AEPS20190909011
  中图分类号：
- 收稿日期：2019-09-09，
  
  修回日期：2019-11-17，
  
  网络出版日期：2020-04-16，
  
  纸质出版日期：2020-07-10
- 稿件说明：
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李翔宇,赵冬梅.计及可调资源动态特性的虚拟电厂多级优化配置[J].电力系统自动化,2020,44(13):17-24.

LI Xiangyu,ZHAO Dongmei.Multi-level Optimal Configuration of Virtual Power Plant Considering Dynamic Characteristics of Adjustable Resources[J].Automation of Electric Power Systems,2020,44(13):17-24.
李翔宇,赵冬梅.计及可调资源动态特性的虚拟电厂多级优化配置[J].电力系统自动化,2020,44(13):17-24. DOI： 10.7500/AEPS20190909011.

LI Xiangyu,ZHAO Dongmei.Multi-level Optimal Configuration of Virtual Power Plant Considering Dynamic Characteristics of Adjustable Resources[J].Automation of Electric Power Systems,2020,44(13):17-24. DOI： 10.7500/AEPS20190909011.

摘要

对虚拟电厂（VPP）中各类资源进行优化配置是其参与电网优化调度的重要前提。针对不同特性资源动态聚合与量化评估的难点，文中提出了“灵活性可调资源-聚合调节特性-优化目标建模”的VPP多级优化配置体系。首先，在灵活性可调资源层面建立了不同分布式电源、可控负荷以及储能的可调灵活性与随机性模型。其次，在聚合调节特性层面，一方面对各类资源灵活性整合得到VPP对外可调灵活性，另一方面对各类资源灵活调节的概率密度函数通过卷积运算求得VPP的随机性模型。接着，在优化目标建模中基于投资组合理论建立包含VPP建设和运维成本、参与电能市场和辅助服务市场获利在内的净现值模型，在静态优化配置基础上，分析关键要素的动态效应。以中国某地区实际电网为例，验证了所提方法的正确性和有效性。

Abstract

The optimal configuration of various resources in virtual power plant (VPP) is an important prerequisite for its participation in the optimal dispatching of power grid. Aiming at the difficulty of dynamic aggregation and quantitative evaluation of resources with different characteristics

this paper proposes a multi-level optimal configuration system including flexible adjustable resources

aggregation adjustment characteristics and optimization target modeling. At the level of flexible adjustable resources

the flexible regulation characteristics of different distributed generators

controllable loads and energy storage are studied. At the level of aggregation adjustment characteristics

on one hand

the flexibility of various resources is integrated to obtain the external adjustable flexibility of VPP. On the other hand

the randomness model of VPP is obtained by convolving the probability density function of the randomness of various resources. In the optimization target modeling

based on the portfolio theory

this paper establishes a net present value model including construction

operation and maintenance costs of VPP

and the profits of VPP participating in the electric energy and auxiliary service markets. Based on the static optimization configuration

the dynamic effects of key elements are analyzed. Taking an actual power grid in a certain region of China as an example

the correctness and effectiveness of the proposed method are verified.

关键词

Keywords

references

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