摘要
为了降低能耗的峰均比和保证用户之间的公平性,文中研究了智能楼宇需求侧管理的负荷调度和成本优化问题。首先,建立了负荷调度和成本模型。并且考虑能量的消耗、存储和产生等限制,将具有峰均比限制的最小化最大能量负荷调度问题表示为线性规划问题,并直接求解。此外,以二次函数作为成本,将更复杂的公平成本优化问题表示为非线性规划问题。通过线性松弛技术,将非线性问题转化为线性问题,并近似求解。最后,仿真结果验证了所提出的优化方案,通过与其它方案相比,不仅实现了公平负荷调度,而且实现了公平成本优化。
To reduce the peak-to-average ratio(PAR) of energy consumption and guarantee fairness between users,the fair load scheduling and the cost optimization for DSM in smart building are studied.Firstly,the load scheduling and cost models are established. Considering the constraints of energy consumption,energy storage and energy generation in buildings,a minimum-maximum fair energy load scheduling problem with PAR limit is formulated into linear programming(LP) problem to be directly solved.Then,a quadratic(nonlinear) function is used as a cost function and a more complex fair cost optimization problem is formulated into the non-linear programming(NLP) one. Using a linear relaxation technique,the nonlinear problem is transformed into a linear one to be approximately solved. Finally,simulation results validate that the optimization scheme can achieve fair load scheduling and fair cost with DSMmechanism compared with other schemes in smart building.
作者
田峰
殷磊
吕斌
尹喜阳
马涛
TIAN Feng;YIN Lei;LU Bin;YIN Xiyang;MA Tao(Key Lab of Broadband Wireless Communication and Sensor Network Technology,Ministry of Education, Nanjing University of Posts and Telecommunications,Nanjing 210003,China;Information and Communication Company,State Grid Tianjin Electric Power Company,Tianjin 300010,China;Nail Group Corporation,Nanjing 211000,China)
出处
《南京邮电大学学报（自然科学版）》
北大核心
2018年第6期1-8,共8页
Journal of Nanjing University of Posts and Telecommunications：Natural Science Edition
基金
国家自然科学基金(61671252
61772287)
江苏省高校自然科学研究重大项目(18KJA510004)资助项目
关键词
智能楼宇
需求侧管理
负荷调度
成本优化
公平性
smart
building
demand
side
management
load
scheduling
cost
optimization
fairness
作者简介
通讯作者:田峰(1979-),男,副教授,山东枣庄人。南京邮电大学通信与信息工程学院副教授。研究方向为无线网络性能优化与算法设计、认知元线电网络和大数据驱动的无线网络优化等。E-mail:tianf@njupt.edu.cn.
