考虑电热耦合的交直流微电网多目标优化配置

杨冬锋; 姜超; 蔡国伟; 黄南天; 刘晓军; 黄征

doi:10.7500/AEPS20190731014

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考虑电热耦合的交直流微电网多目标优化配置

学术研究 | 更新时间：2025-06-16

- 考虑电热耦合的交直流微电网多目标优化配置
- Multi-objective Optimal Configuration of AC/DC Microgrid Considering Electricity/Heat Coupling
- 电力系统自动化-方正平台 2020年44卷第8期页码：124-132
- 作者机构：
  
  1.现代电力系统仿真控制与绿色电能新技术教育部重点实验室（东北电力大学），吉林省吉林市 132012
  2.郑州大学电气工程学院，河南省郑州市 450001
- 作者简介：
  
  杨冬锋(1976—)，男，通信作者，博士，副教授，硕士生导师，主要研究方向：电力系统运行分析、风力发电等。 E-mail：ydfnedu@126.com
  姜超(1994—)，男，硕士研究生，主要研究方向：微电网优化配置与运行。E-mail：2305577980@qq.com
  蔡国伟(1968—)，男，博士，教授，博士生导师，主要研究方向：含新能源并网的电力系统稳定与控制。E-mail：caigw@mail.nedu.edu.cn
- 基金信息：
  
  国家自然科学基金资助项目(51307020);吉林省科技发展计划资助项目(20160204004GX)
- DOI：10.7500/AEPS20190731014
  中图分类号：
- 收稿日期：2019-07-31，
  
  修回日期：2019-08-21，
  
  网络出版日期：2020-02-03，
  
  纸质出版日期：2020-04-25
- 稿件说明：
移动端阅览
杨冬锋,姜超,蔡国伟等.考虑电热耦合的交直流微电网多目标优化配置[J].电力系统自动化,2020,44(8):124-132.

YANG Dongfeng,JIANG Chao,CAI Guowei,et al.Multi-objective Optimal Configuration of AC/DC Microgrid Considering Electricity/Heat Coupling[J].Automation of Electric Power Systems,2020,44(8):124-132.
杨冬锋,姜超,蔡国伟等.考虑电热耦合的交直流微电网多目标优化配置[J].电力系统自动化,2020,44(8):124-132. DOI： 10.7500/AEPS20190731014.

YANG Dongfeng,JIANG Chao,CAI Guowei,et al.Multi-objective Optimal Configuration of AC/DC Microgrid Considering Electricity/Heat Coupling[J].Automation of Electric Power Systems,2020,44(8):124-132. DOI： 10.7500/AEPS20190731014.

摘要

在当前电热联系日渐紧密以及交直流微电网日益成熟的发展趋势下，以投资成本、CO

排放量以及换流损耗最小为优化目标，综合考虑微电网电/热功率平衡、自治能力等多种约束，提出了考虑电热耦合的交直流混合微电网电/热源双层优化配置模型。其上层为微电网内的各设备容量配置模型，下层是对微电网内各设备运行策略的确定，通过上下层的联合优化对微电网内各设备容量进行配置研究。对比不同规划场景，分析电热耦合对优化目标的影响，通过全年的设备出力和典型日的功率平衡曲线，说明了含电热耦合的交直流微电网供电/热的可靠性，最终验证了所述模型的合理性和有效性。

Abstract

With the development trend of the increasingly close electricity-heat connection and the maturity of AC/DC microgrid

a bi-level optimal configuration model considering electricity/heat coupling for AC/DC hybrid microgrid is proposed. This model takes the annual investment cost

annual CO

emission and transmission loss as the optimization objectives with consideration of the electric/heat power balance

self-government and other operation constraints as well. The upper layer is the capacity planning model of each device in the microgrid

and the lower layer determines the operation strategy of each device in the microgrid. Through the joint optimization of the upper and lower levels

the capacity configuration of each device in the microgrid is studied. By comparing different planning scenarios

the influence of electricity/heat coupling system on optimization objectives is analyzed. Through annual equipment power output and power balance curve of typical days

the energy supply reliability of AC/DC microgrid with electricity/heat coupling system is illustrated. Finally

the rationality and effectiveness of the model are verified.

关键词

Keywords

references

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