基于用电效用与电器参数特征化的用户侧节能自趋优方法及其应用

User-Side Self-Approximate Optimization Method and Its Application Based on Power Utility and Electrical Appliance Parameter Characterization

用户侧管理节能是智能电网实现节能减排的重要环节,如何在保障用户用电体验的同时实现能源高效利用是用户侧能量管理系统的核心问题。理论分析上,基于用电效用的概念与电器参数化分析方法提出用户侧节能自趋优方法:引入效用函数作为评价用电满意度评价指标,并改进电器用电效用分级评价方法;基于自趋优思想提出用电侧节能自趋优优化思路;结合电器运行参数化思想提出电器运行节能指标的挖掘方法,包括电器运行状态自识别与用电需求挖掘;技术实现上,以时间扰动型电器为例,探讨用户侧节能自趋优方法理论的应用与电器特征参数化的技术实现方式;工程应用上,在广州某办公楼建设智能用电环境并部署节能策略,运行结果验证了该文方法在规模化工程应用方面的可行性与有效性。

User side energy management is a critical approach to realize energy saving and emission reduction for smart grid. The kernel of energy management system in user side is the comprehensive consideration of both user satisfaction and efficient utilization of energy. Theoretically,this paper proposes the self-approximate optimization method in user side based on the concept of power utility and the parametric analysis method of electrical equipment. We introduce utility function as the evaluation index of power consumption satisfaction,and improve the grading evaluation method of electric appliance power utility. Based on the thought of self-approximate optimization,we propose the self-approximate optimization method for the energy saving of power consumption side; combining the idea of electrical equipment operation parameterization,we present the mining method for the energy saving index of electric appliance operation,including self-recognition of electrical equipment running state and power demand mining. Technically,taking time-disturbance appliance as example,this paper discusses the application of self-approximate optimization method of user-side energy saving and the technology implementation mode of equipment characteristic parameterization. In engineering, energy saving strategy has been established in the smart power environment of an office building in Guangzhou,the running results prove the feasibility and effectiveness of the proposed method in large-scale engineering applications.