微能源网多能源耦合枢纽的模型搭建与优化

LIU Fangze

您当前的位置：

首页 >

文章列表页 >

微能源网多能源耦合枢纽的模型搭建与优化

更新时间：2025-08-13

- 微能源网多能源耦合枢纽的模型搭建与优化
- Automation of Electric Power Systems Vol. 42, Issue 14, Pages: 91-98(2018)
- 作者机构：
  
  同济大学电子与信息工程学院,上海市,201804
- 作者简介：
- 基金信息：
- DOI：
  CLC：
- Published：2018
- 稿件说明：
移动端阅览
LIU Fangze. [J]. Automation of electric power systems, 2018, 42(14): 91-98.
DOI：

LIU Fangze. [J]. Automation of electric power systems, 2018, 42(14): 91-98. DOI：

摘要

多能源耦合枢纽作为微能源网的核心部件，其系统模型的准确性将影响微能源网的运行效率。文中针对一种包含太阳能和风能发电系统、储能系统、有机朗肯循环系统、传统冷热电三联供系统的多能源耦合枢纽，综合考虑负荷需求、价格因素和环境因素，以系统运行成本、一次能源消耗量和碳排放量最小化为目标，建立了微能源网中多能源互补的多目标优化模型；采用粒子群算法对发电机和储能的运行策略进行求解，得到最优目标。最后，与微电网进行对比分析，验证了多能耦合系统在提高能源利用率和减少碳排放方面的优势。

Abstract

Multi-energy coupling hub is the core component of micro-energy network

so the accuracy of its system model has an effect on the operation efficiency of the micro-energy network. Aiming at the multi-energy coupling hub which consists of solar power and wind power generation systems

energy storage systems

organic Rankine cycle(ORC)systems and combined cooling

heating and power(CCHP)systems

this paper develops a multi-objective optimization model for multi-energy coupling in the micro-energy network. The optimization model considers the load demand

the price factor and the environment

and it aims to minimize the system operation costs

primary energy consumption and carbon emissions. The particle swarm optimization(PSO)algorithm is used to solve the operation strategies of the generator and the energy storage system

and the optimal target is obtained. Finally

the advantages of the multi-energy coupling system in energy efficiency and carbon emissions are verified by comparing it with the microgrid.

关键词

Keywords

references

Views

1824

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Water-Energy Collaborative Optimization for Regional Energy Internet: Review and Prospect

Key Technologies of Privacy Computation Supporting Collaborative Optimization of Energy Internet

Prospect of Research on Communication Network Architecture and Key Technologies for Virtual Power Plant

Review on Demonstration Application of Urban Energy Internet: Present Situation, Experience and Prospect

Related Author

MA Shuyan

HE Xing

ZHANG Zhuangyan

AI Qian

ZHAO Jianli

XIANG Jiani

YONG Weizhen

WANG Jianxue

Related Institution

School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University

State Grid Shanghai Municipal Electric Power Company

State Key Laboratory of Electrical Insulation and Power Equipment (Xi’an Jiaotong University)

School of Electrical Engineering, Xi’an Jiaotong University

Department of Electrical Engineering, Tsinghua University

⁰