Coincident Peak & Non-Coincident Peak Analysis
Ability to calculate Coincident Peak (CP) and Non-Coincident Peak (NCP) at various levels of aggregation and geographies
The Utility Problem
By definition, the coincident peak (CP) is a customer’s usage at the system’s maximum usage. In other words, CP is the demand for a particular selection of system users (e.g. customer(s), rate class(es)) at the time of the system’s peak demand. Analysis requires selecting a system user(s), a high-level comparator (usually the entire system or other segmentation criteria), and a time period. Each system user will have their CP value, which equals their demand at the comparator’s peak during the time period (the comparator peak determines the time at which system users’ demand value is taken). Non-coincident peak (NCP) is the customer’s highest usage during the selected time period. NCP requires selecting a system user(s) or group(s) and a time period. Each system user/group will have their NCP value, which equals its peak demand during the time period.
Knowledge and insights into CP and NCP are essential for regulatory reporting; and overall awareness of demand contribution for different topological and geographical segments (feeder, substation, area, etc.) as well as different customer segments (rate, area, class, type, etc.). Insights from this type of analysis allow utilities to understand consumer behaviour and improve rate design to increase the satisfaction and retention of consumers. Lastly, with the rise of EVs and EV Fleets, CP and NCP are critical to understanding better asset size and management.
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