Study on Power Demand Load Transfer Based on Model Predictive Control

HUANG Yan

doi:10.14044/j.1674-1757.pcrpc.2018.03.024

您当前的位置：

首页 >

文章列表页 >

Study on Power Demand Load Transfer Based on Model Predictive Control

更新时间：2024-09-14

- Study on Power Demand Load Transfer Based on Model Predictive Control
- POWER CAPACITOR & REACTIVE POWER COMPENSATION Vol. 39, Issue 3, Pages: 128-133(2018)
- 作者机构：
  
  大连理工大学
- 作者简介：
- 基金信息：
- DOI：10.14044/j.1674-1757.pcrpc.2018.03.024
  CLC： TM714
- Published：2018，
- 稿件说明：
移动端阅览
[1]黄燕.基于模型预测控制的电能需求负荷转移研究[J].电力电容器与无功补偿,2018,39(03):128-133.

HUANG YAN. Study on Power Demand Load Transfer Based on Model Predictive Control. [J]. Power capacitor & reactive power compensation, 2018, 39(3): 128-133.
[1]黄燕.基于模型预测控制的电能需求负荷转移研究[J].电力电容器与无功补偿,2018,39(03):128-133. DOI： 10.14044/j.1674-1757.pcrpc.2018.03.024.

HUANG YAN. Study on Power Demand Load Transfer Based on Model Predictive Control. [J]. Power capacitor & reactive power compensation, 2018, 39(3): 128-133. DOI： 10.14044/j.1674-1757.pcrpc.2018.03.024.

摘要

针对目前电能系统长期存在负荷压力过大、电能需求波动性大、不稳定等特点

提出切实的需求预测方法

建立需求预测模型。利用该模型对近年来全社会用电量需求进行模拟

证明了预测模型的可行性

进一步对未来电能需求量进行预测

在大范围内把握未来总体电能需求水平。并且以未来电能需求为例

应用电能需求转移模型对预测结果中出现的需求负荷不均匀问题进行有效的调节

削弱需求集中带来的影响

减小需求波动幅度

使需求在原基础上分布更加均衡合理

同时在电能需求负荷总体规模不断增长的态势下维持系统的稳定

从而验证了需求转移模型的有效性。

Abstract

In view of such characteristics of power system as the excessive load

large fluctuation and instability of power demand

the practical demand prediction method is proposed and the demand predictive model is set up.The power demand by the society in recent years is simulated by the model

the feasibility of the model is proved

the power demand in the future is predicted and the general power demand level is seized within the large range.The power demand in the future is taken as an example

the transfer model of the power demand is used to perform effective regulation of the uneven demand load of the predictive result

weaken the influence due to demand concentration

reduce the demand fluctuation amplitude and keep the distribution of the demand on the original base more balanced and reasonable and

at the same time

maintain system stability under the condition of rapid increase of general scope of power demand load

thus the effectiveness of the demand transfer model is verified.

关键词

电能需求模型预测控制季节指数负荷转移

Keywords

power demandmodel predictive controlseason indexload transfer

references

Views

224

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Study on Application of Back-to-back Flexible Direct Current Transmission Technology in Central Urban Grid

Model Predictive Control Strategy for Multi-level Cascaded H-bridge Inverter

Related Author

CAI Hui

PENG Zhuyi

QI Wanchun

XIE Zhenjian

HUANG Junhui

LI Dahai

CHEN Su

Related Institution

State Grid Jiangsu Economic Research Institute

College of Electrical Engineering,Zhengzhou University of Science and Technology

Department of Electromechanical and Information Engineering,Henan Vocational College of Water Conservancy and Environment

⁰