引用本文: | 孙毅,裴俊亦,景栋盛.考虑用户行为不确定性的智能家电控制策略[J].电力系统保护与控制,2018,46(17):109-117.[点击复制] |
SUN Yi,PEI Junyi,JING Dongsheng.Smart home appliance control strategy considering user behavior uncertainty[J].Power System Protection and Control,2018,46(17):109-117[点击复制] |
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摘要: |
针对用户行为在家庭负荷调度中引起的不确定性对用电造成的影响,提出了考虑用户行为不确定性的智能家电控制策略。首先,建立了家电负荷模型,并通过定义用户舒适度违反率对用户不确定行为进行量化。其次,制定了家电实时关断机制,对计划外用电进行合理控制。随后,制定的控制策略通过生成用电计划、判断用户行为和实时修改用电计划三步实现对用户家电的实时智能控制。通过仿真证明了优化策略在应对用户不确定行为方面的有效性。 |
关键词: 智能家电控制 需求响应 用户行为 不确定性 粒子群算法 |
DOI:10.7667/PSPC171201 |
投稿时间:2017-08-10修订日期:2018-02-11 |
基金项目:国家电网公司科技项目(SGJSSZ00FZWT1701004) “大受端电网紧急故障条件下用户负荷群快速调控系统的信息通信关键支撑技术研究” |
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Smart home appliance control strategy considering user behavior uncertainty |
SUN Yi,PEI Junyi,JING Dongsheng |
(School of Electrical and Electronic Engineering, North China Electric Power University, Beijing 102206, China;Information and Communication Branch, Suzhou Power Supply Company, Suzhou 215004, China) |
Abstract: |
Aiming at the influence of uncertainty caused by user behavior in household load dispatching on power consumption, a control strategy of smart appliances considering the uncertainty of user behavior is proposed. First of all, this paper establishes the appliance load model and quantifies the uncertain behavior of users by defining the user comfort violation rate. Secondly, it develops a real-time power-off mechanism to control the rational use of unplanned power. Subsequently, it formulates control strategies to achieve real-time intelligent control of consumer appliances by generating electricity plans, judging user behavior and real-timely modifying the power consumption plan. The simulation results show the effectiveness of the optimization strategy in dealing with the uncertain behavior of users. This work is supported by Science and Technology Project of State Grid Corporation of China “Research on Key Support Technologies of Information and Communication for Quick Control System of User Load Group Under the Condition of Emergency Power Grid Emergency Fault” (No. SGJSSZ00FZWT1701004). |
Key words: smart home appliance control demand response user behavior uncertainty particle swarm optimization |