面向智能电网园区多能源利用的改进夹点算法

WANG Dong

您当前的位置：

首页 >

文章列表页 >

面向智能电网园区多能源利用的改进夹点算法

更新时间：2025-08-13

- 面向智能电网园区多能源利用的改进夹点算法
- Automation of Electric Power Systems Vol. 39, Issue 21, Pages: 18-22(2015)
- 作者机构：
  
  国电南瑞科技股份有限公司,江苏省,南京市,211106
- 作者简介：
- 基金信息：
- DOI：
  CLC：
- Published：2015
- 稿件说明：
移动端阅览
WANG Dong. [J]. Automation of electric power systems, 2015, 39(21): 18-22.
DOI：

WANG Dong. [J]. Automation of electric power systems, 2015, 39(21): 18-22. DOI：

摘要

针对智能电网园区冷、热、电、机械、照明等多种负荷的特点

利用夹点算法的基本原理

结合电力自身特性

实现多类能源的综合分析

提出最佳优化值。在具体分析时

利用以千瓦为计量单位的换热网络

针对某些设备不包含流动介质的特点

结合各类能源的等值计算

推动多能源梯级利用。所提出的改进夹点算法

提供了一种多能源优化分析方法

既能从换热角度得到理论上的能耗最低值

又能为多能源优化利用提供一定的改进思路

适用于智能电网园区的工业用户、公共机构、数据中心等多种用户。

Abstract

Based on the characteristics of cooling

heating

electric

mechanical loads

and illumination in the smart grid area

the best optimization value is put forward by making use of the fundamentals of the pinch algorithm while considering the properties of electric power itself. When heat-exchange network is analyzed

kW is used as the unit of measurement in equations of all kinds of energy to promote graded use of multi-energy. A multi-energy optimization analysis method based on the improved pinch algorithm is proposed

with which both the lowest value of theoretic energy consumption and improvement ideas of multiple energy utilization can be achieved. What’s more

this method can be applied in many kinds of user in smart grid area

such as industry

public institution

data center and so on. This work is supported by State Grid Corporation of China (No. SGTJ0000KXJS140087).

关键词

Keywords

references

Views

2566

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Deep End-to-end Super-resolution Perception Method for Load Data at Distribution Side

Architecture Design and Demand Analysis of New Generation Technical Standard System for Smart Grid

Fast Construction Method of Active Power Steady-state Security Region Considering Variation of Structural Parameter in Power Grid

Analysis of Development Trend for Intelligent Distribution Transformer

Model Predictive Control of Wireless Transmit Power Constrained by Reliability Requirement of Smart Grid

Related Author

Guolong LIU

Junhua ZHAO

Fushuan WEN

Yiru MAO

Zhanxin WU

Yusheng XUE

Jing ZHANG

Pan DAI

Related Institution

School of Science and Engineering, The Chinese University of Hong Kong

Shenzhen Research Institute of Big Data

College of Electrical Engineering, Zhejiang University

NARI Group Corporation (State Grid Electric Power Research Institute)

China Electric Power Research Institute

⁰