| 基于分时电价的家庭智能用电设备的运行优化 |
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| 引用本文： | 史林军,史江峰,杨启航,张勇,陈少哺,吴峰. 基于分时电价的家庭智能用电设备的运行优化[J]. 电力系统保护与控制, 2018, 46(24): 88-95 |
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| 作者姓名： | 史林军 史江峰 杨启航 张勇 陈少哺 吴峰 |
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| 作者单位： | 河海大学能源与电气学院, 江苏 南京 211100,河海大学能源与电气学院, 江苏 南京 211100,江苏兴力建设集团有限公司, 江苏 南京 211100,国网江苏省电力有限公司泰州供电分公司，江苏 泰州 225300,国网江苏省电力有限公司泰州供电分公司，江苏 泰州 225300,河海大学能源与电气学院, 江苏 南京 211100 |
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| 基金项目： | 国家自然科学基金优青项目资助(51422701) |
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| 摘 要： | 未来家庭用电作为智能电网的一部分,研究家庭智能用电设备的优化运行具有重要的意义。首先建立了未来典型家庭智能用电设备的数学模型。然后基于分时电价,提出一种以经济性和用户舒适度为目标的未来家庭中智能用电设备的优化运行模型,便于用户制定出满足自身需要的用电计划。最后以某典型家庭用户为例,通过建立典型日仿真场景,采用遗传算法对家庭智能用电设备的运行进行优化,仿真结果表明建立的优化模型的有效性。
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| 关 键 词： | 分时电价；智能用电设备；优化运行；遗传算法 |
| 收稿时间： | 2017-12-04 |
| 修稿时间： | 2018-02-28 |
Optimal scheduling of intelligent household electrical appliances based on time-of-use power price |
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| SHI Linjun,SHI Jiangfeng,YANG Qihang,ZHANG Yong,CHEN Shaobu and WU Feng. Optimal scheduling of intelligent household electrical appliances based on time-of-use power price[J]. Power System Protection and Control, 2018, 46(24): 88-95 |
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| Authors: | SHI Linjun SHI Jiangfeng YANG Qihang ZHANG Yong CHEN Shaobu WU Feng |
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| Affiliation: | College of Energy and Electrical Engineering, Hohai University, Nanjing 211100, China,College of Energy and Electrical Engineering, Hohai University, Nanjing 211100, China,Jiangsu Xingli Construction Group Co., Ltd, Nanjing 211100, China,Taizhou Power Supply Branch, State Grid Jiangsu Electric Power Company, Taizhou 225300, China,Taizhou Power Supply Branch, State Grid Jiangsu Electric Power Company, Taizhou 225300, China and College of Energy and Electrical Engineering, Hohai University, Nanjing 211100, China |
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| Abstract: | As a part of the smart grid, it is of great significance to study the optimal scheduling of intelligent household electrical appliances in future household. Firstly, intelligent household electrical appliances mathematical models are established for the future typical household. Then, based on Time-Of-Use (TOU) power price, an optimal scheduling model of intelligent household electrical appliances is proposed, which aims are economy and user comfort. It is convenient for users to make their plans of electricity to meet their own needs. Finally, a typical home user is taken as an example. Through establishing the typical day of simulation scene, the genetic algorithm is used to optimize the scheduling of the intelligent household electrical appliances, and the simulation results show the effectiveness of the established optimal scheduling model. This work is supported by the Natural Science Foundation for the Excellent Youth Scholar of China (No. 51422701). |
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| Keywords: | time-of-use (TOU) power price intelligent household electrical appliances optimal scheduling genetic algorithm (GA) |
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