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| 考虑分时电价和需求响应的家庭型用户侧微电网优化运行 | |
| 引用本文： | 黄焘,马溪原,雷金勇,许爱东,郭晓斌,李鹏,刘念,杨苹.考虑分时电价和需求响应的家庭型用户侧微电网优化运行[J].南方电网技术,2015,9(4):47-53. |
| 作者姓名： | 黄焘 马溪原 雷金勇 许爱东 郭晓斌 李鹏 刘念 杨苹 |
| 作者单位： | 1. 南方电网科学研究院,广州,510080 2. 华北电力大学电气与电子工程学院,北京,102206 3. 华南理工大学电力学院,广州,510640 |
| 基金项目： | 国家高技术研究发展计划（863计划）资助项目（2014AA052001）；南方电网公司科技项目（K-KY2014-009）；南方电网科学研究院科技项目（SEPRI-K154001） |
| 摘 要： | 在考虑分时电价和需求响应的基础上,建立了含有光伏发电、风力发电以及蓄电池的家庭型用户侧微电网优化运行模型,提出了一种家庭型用户侧微电网需求响应方法.优化模型以综合考虑用户的购电费用和舒适度为优化目标,尽可能多地将峰时电价时段的家用负荷功率向谷时电价和平时电价时段移动.采用粒子群优化算法对模型进行了求解,在算例分析中对比了优化前后微电网向电网公司支付的购电费用,验证了所提优化算法的有效性. |
| 关 键 词： | 家庭型用户侧微电网 优化运行 分时电价 需求响应 粒子群优化算法 |
| 收稿时间： | 3/1/2015 12:00:00 AM |
Optimal Operation of Household User Side Microgrid Considering Time-of-Use Price and Demand Response |
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| HUANG Tao,MA Xiyuan,LEI Jinyong,XU Aidong,GUO Xiaobin,LI Peng,LIU Nian and YANG Ping.Optimal Operation of Household User Side Microgrid Considering Time-of-Use Price and Demand Response[J].Southern Power System Technology,2015,9(4):47-53. | |
| Authors: | HUANG Tao MA Xiyuan LEI Jinyong XU Aidong GUO Xiaobin LI Peng LIU Nian and YANG Ping |
| Affiliation: | Electric Power Research Institute, CSG, Guangzhou 510080, China,Electric Power Research Institute, CSG, Guangzhou 510080, China,Electric Power Research Institute, CSG, Guangzhou 510080, China,Electric Power Research Institute, CSG, Guangzhou 510080, China,Electric Power Research Institute, CSG, Guangzhou 510080, China,Electric Power Research Institute, CSG, Guangzhou 510080, China,School of Electrical and Electronic Engineering, North China Electric Power University, Beijing 102206, China and School of Electric Power, South China University of Technology, Guangzhou 510640, China |
| Abstract: | Considering time-sharing electricity price and demand response, this paper proposes a microgrid demand response method and establishes a household user-side microgrid optimal operation model including solar panel, wind generator and battery storage.This model aims at lowering the user`s electricity bill and increasing the comfort level.The particle swarm optimization algorithm is used to solve the objective function and shift the power load from heavy load zone to valley area.The electricity costs before and after the optimization proves the effectiveness of the proposed comparison algorithm. |
| Keywords: | household user-side microgrid optimal operation time-of-use price demand response particle swarm algorithm |
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