| 分时电价机制下计及用户需求响应的微网优化调度模型 |
| |
| 引用本文： | 王尧,,谭彩霞,王佳伟,李强,邢亚虹,谭忠富,,.分时电价机制下计及用户需求响应的微网优化调度模型[J].陕西电力,2020,0(10):9-15. |
| |
| 作者姓名： | 王尧 谭彩霞 王佳伟 李强 邢亚虹 谭忠富 |
| |
| 作者单位： | 1. 华北电力大学 经济与管理学院，北京 102206； 2. 国网山西经研院，山西 太原 030001；
3. 延安大学 经济与管理学院，陕西 延安 716000； 4. 北京能源发展研究基地，北京 102206 |
| |
| 摘 要： | 为充分利用分时电价特点解决微网优化调度问题，提出基于用户需求响应的微网系统模型，在此基础上，综合考虑微网系统各部分运行特点及成本，构建分时电价机制下微网系统优化调度模型。采用遗传算法优化分布式电源出力、储能系统充放电策略以及微网与主网的能量交互，促进主网的削峰填谷，实现电力资源高效配置。最后以某微网系统典型负荷日运行调度为例，验证了所提模型的有效性。
|
| 关 键 词： | 微网 分时电价 需求响应 优化调度 |
Micro-grid Optimization Scheduling Model Considering User Demand Response under Time-of-Use Electricity Price Mechanism |
| |
| WANG Yao,' target="_blank" rel="external">,TAN Caixia,WANG Jiawei,LI Qiang,XING Yahong,TAN Zhongfu,,' target="_blank" rel="external">.Micro-grid Optimization Scheduling Model Considering User Demand Response under Time-of-Use Electricity Price Mechanism[J].Shanxi Electric Power,2020,0(10):9-15. |
| |
| Authors: | WANG Yao " target="_blank">' target="_blank" rel="external"> TAN Caixia WANG Jiawei LI Qiang XING Yahong TAN Zhongfu " target="_blank">' target="_blank" rel="external"> |
| |
| Affiliation: | 1. School of Economic and Management， North China Electric Power University， Beijing 102206， China； 2. State Grid Economic and Technological Research Institute of Shanxi， Taiyuan 030001，China； 3. School of Economic and Management，Yan’an University， Yan’an 716000， China； 4 Beijing Energy Development Research Center， Beijing 102206， China |
| |
| Abstract: | In order to make full use of the characteristics of time-of-use electricity price to solve the problem of micro-grid optimization scheduling， the paper proposes a micro-grid system model based on user demand response. On this basis， considering the operation characteristics and cost of each part of the micro-grid system， the paper establishes the optimization scheduling model of the micro-grid system under the time-of-use electricity price mechanism， and uses genetic algorithm to optimize the distributed power output， the charging and discharging strategy for energy storage system and the energy interaction between the micro-grid and main grid， promoting peak load shifting for the main grid to achieve the efficient allocation of power resources. Finally， the typical load day operation scheduling of a micro-grid system is taken as an example to verify the validity of the model. |
| |
| Keywords: | micro-grid time-of-use electricity price demand response optimized scheduling |
|
| 点击此处可从《陕西电力》浏览原始摘要信息 |
|
点击此处可从《陕西电力》下载全文 |
