南方电网技术2024，Vol.18Issue(9)：151-160,10.DOI:10.13648/j.cnki.issn1674-0629.2024.09.016
基于电力负荷可调特性的城市楼宇配网优化运行
Optimization Operation of Urban Building Network Based on Load Adjustable Characteristics
摘要
Abstract
Urban buildings are places that effectively promote the conservation and rational use of energy resources,which are conducive to accelerate the development of a circular low-carbon economy.A multi-objective optimization model for intelligent building load optimization from two aspects of economy and acceptability is proposed.Firstly,time/load-related indicators are established to describe the users' acceptance of participating in load regulation for the transferable and reducible load.Then,with the goal of minimizing the peak-to-valley load difference in the statistical period,achieving the highest acceptability,and minimizing electricity costs,the building load combined mathematical model is established.Finally,it is proposed to solve the model based on continuous Hopfield neural network(CHNN).The analysis of the calculation example shows that the multi-objective optimization model can effectively reduce the electricity cost and ensure the acceptability of electricity.关键词
城市楼宇/负荷可调/峰谷差/经济性/可接受度/连续型Hopfield神经网络Key words
urban building/adjustable load/peak-to-valley load difference/economy/acceptability/CHNN分类
信息技术与安全科学引用本文复制引用
吕志盛,程如昊,杨浩文,王晓璨..基于电力负荷可调特性的城市楼宇配网优化运行[J].南方电网技术,2024,18(9):151-160,10.基金项目
国家自然科学基金资助项目(51407151) （51407151）
国家重点研发计划资助项目(2022YFE019900) （2022YFE019900）
福建省教育厅重点项目(JZ230048).Supported by the National Natural Science Foundation of China(51407151) （JZ230048）
the National Key Research and Development Program of China(2022YFE019900) （2022YFE019900）
the Key Project of Fujian Provincial Department of Education(JZ230048). （JZ230048）
