用户侧照明负荷在储能系统中的智能调度

Intelligent Scheduling of User Side Lighting Load in Energy Storage System

深入分析了储能系统中针对用户侧照明负荷的智能调度问题,探究了终端照明用电的界定与分类,及其受时段、区域和用户习惯等因素的影响。阐述了存储能量的系统工作原则与种类,并探讨了这些系统如何在终端用户的照明电力需求管理中发挥作用,涉及需求层面的稳定控制、节能优化和风险备用,探究了智能调度的根本理念,涉及其赖以建立的优化算法和机器学习策略,内容涉及离散和连续的优化算法,以及监督、非监督和强化学习等多种学习方式。

This paper analyzes in depth the intelligent scheduling problem of user side lighting loads in energy storage systems,explores the definition and classification of terminal lighting power consumption,and its influence on factors such as time period,area and user habits.This paper expounds the working principles and types of systems for storing energy,and discusses how these systems play a role in the management of lighting power demand for end users.It involves stability control,energy saving optimization and risk backup at the demand level,and explores the fundamental concept of intelligent scheduling.It involves the optimization algorithms and machine learning strategies on which it relies.The content involves discrete and continuous optimization algorithms,as well as multiple learning methods such as supervised,unsupervised and reinforcement learning.