预算限制下考虑综合舒适度的智能用电优化模型

doi:10.3969/j.issn.1000-7229.2020.01.011

电力建设 ›› 2020, Vol. 41 ›› Issue (1): 88-96.doi: 10.3969/j.issn.1000-7229.2020.01.011

预算限制下考虑综合舒适度的智能用电优化模型

程江洲1,2，谢诗雨1，张赟宁1,2，王劲峰1，熊双菊1

1.三峡大学电气与新能源学院, 湖北省宜昌市 443002；2.湖北省微电网工程技术研究中心, 湖北省宜昌市 443002

出版日期:2020-01-01
作者简介:程江洲(1979)，男，副教授，硕士生导师，主要研究方向为电力设备状态在线检测、智能电网等；谢诗雨(1995)，女，通信作者，硕士研究生，主要研究方向为家庭能源优化控制；张赟宁(1979)，女，博士，硕士生导师，主要研究方向为微电网运行优化与网络化控制等；王劲峰(1996)，男，硕士研究生，主要研究方向为电动汽车充放电优化研究；熊双菊(1994)，女，硕士研究生，主要研究方向为配电网风险评估。
基金资助:
This work is supported by Youth Program of National Natural Science Foundation of China (No.61603212)．

Optimization Model of Intelligent Power Consumption Considering Compositive Comfort within Budget Limitation

CHENG Jiangzhou1,2, XIE Shiyu1, ZHANG Yunning1,2, WANG Jinfeng1, XIONG Shuangju1

1.College of Electrical Engineering & New Energy, China Three Gorges University, Yichang 443002,Hubei Province, China；2. Hubei Micro-grid Engineering Technology Research Center, Yichang 443002,Hubei Province, China

Online:2020-01-01
Supported by:
国家自然科学基金青年科学基金项目(61603212)

摘要/Abstract

摘要： 针对用户行为的不确定性和家电优先级对负荷调度的影响，提出一种在预算限制下考虑综合舒适度的智能用电优化模型。首先，将用户费用支出与舒适度相结合定义了单位舒适度支出，并阐述了针对用户用电舒适度的前提假设。其次，基于时间优先级和设备优先级对舒适度值进行分配，综合2种优先级得到综合舒适度。最后，在预算限制下，建立了考虑综合舒适度的智能用电优化模型，并利用持续搜索粒子群算法对模型进行求解。通过3种不同预算限制下的仿真验证了该模型在提高用户舒适水平方面的有效性。

关键词: 预算限制, 综合舒适度, 时间优先级, 设备优先级, 持续搜索

Abstract: In view of the uncertainty of user behavior and the impact of household appliance priority on load scheduling, an optimization model of intelligent power consumption is proposed, which considers compositive comfort under budget limitation. Firstly, the unit comfort expenditure is defined by combining users expense and comfort level, and the presupposition for users comfort level is expounded. Secondly, after allocating comfort value according to time priority and equipment priority, the compositive comfort value can be obtained by combining two priorities. Finally, under budget limitation, an optimization model of intelligent power consumption considering compositive comfort is established, and the model is solved by using the continuous search particle swarm optimization algorithm. Simulation results in three different scenarios show the effectiveness of this model in improving users comfort level.

Key words: budget limitation, compositive comfort, time priority, equipment priority, continuous search

中图分类号:

TM 714

程江洲，谢诗雨，张赟宁，王劲峰，熊双菊. 预算限制下考虑综合舒适度的智能用电优化模型[J]. 电力建设, 2020, 41(1): 88-96.

CHENG Jiangzhou, XIE Shiyu, ZHANG Yunning, WANG Jinfeng, XIONG Shuangju. Optimization Model of Intelligent Power Consumption Considering Compositive Comfort within Budget Limitation[J]. Electric Power Construction, 2020, 41(1): 88-96.

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预算限制下考虑综合舒适度的智能用电优化模型

Optimization Model of Intelligent Power Consumption Considering Compositive Comfort within Budget Limitation

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