基于功率跃动辨识的改进需求响应验证方法

Improved Demand Response Verification Based on Power Jump Identification

现行国家标准GB/T 37016—2018规定了需求响应节约电力测量与验证的流程、算法及要求,但该标准采用的数据采集间隔过长,存在响应期间短时用户违约事件不易检测、基线负荷计算不准确的问题,也无法满足设备级需求响应效果验证要求。为此,借助非介入智能电表与云平台,针对电器状态转换引起的功率跃动,在对用电行为精细化分析的基础上,提出了一种改进的需求响应验证方法,以解决用户违约事件漏检、基线负荷误算及设备级响应效果验证问题。对电表高频采样数据进行事件聚类与辨识,并将用电行为与其所属的设备关联,刻画出详细的设备用电行为轨迹。依据基线负荷与响应时段用电行为轨迹的对比,验证用户履约水平。算例分析表明了所提方法在验证需求响应参与效果时的准确性与可靠性,并填补了设备级需求响应验证的空白。

The national standard GB/T 37016-2018 specifies the procedures,algorithms and requirements of the measurement and verification about the power saving in demand response(DR).However,considering the long data acquisition interval adopted in the standard,it is difficult to detect some short-time users’default events during the response period.Besides,the baseline load calculation may not be accurate,and cannot meet the requirements of the equipment-level DR effect verification.To address this issue,this paper utilizes the non-intrusive smart meter and the power consumption information acquisition cloud platform,aiming at the power jumps caused by the equipment state transitions.By finely analyzing the power consumption behaviors,this paper proposes an improved verification of the DR,which prevents the leak detection of the users’default events,the miscalculation of the baseline load and realizes the equipment-level DR effect verification.Performing the event clustering and identification on the high-frequency sampling data of the electric meter,the events are associated with their corresponding equipment,and the detailed power consumption behavior trajectory curve of any particular equipment is portrayed.Finally,based on the comparison between the baseline load and the power consumption behavior trajectory during the response time,the users’compliance level is examined.The simulation results prove that the proposed method is accurate and reliable in verifying the DR participation effect,and is capable of filling the gap of verifying the equipment-level DR effect.