The Embedded Cost of Service Model produces an accounting cost of service study to identify class costs of service and revenue requirements suitable for retail rate filing. This model can produce time-differentiated studies identifying costs by component (capacity, energy and customer) and/or by function (production, transmission and distribution). This state-of-the-art model produces exhibit-quality output capable of satisfying filing requirements.
The Marginal Cost of Service Model is an integrated spreadsheet that develops marginal unit cost data for the total system and for each customer class. The model employs many different techniques, such as statistical trending of historical and/or projected plant and O&M data to mechanically derive multiple estimates of marginal costs. The model also produces typical weekday and typical weekend day hourly marginal cost data in order to objectively define rating periods or to estimate real time pricing rates.
The Loss model computes demand and energy loss factors for each functional service level provided. The program integrates data from load flow studies, property records, load research data, and billing records. An expanded version of the program has the capability of developing monthly, seasonal, or hourly loss factors to recognize dynamic reconfiguration of the transmission system and avoid overly simplistic assumptions about marginal loss factors.
Incremented (marginal) losses can be readily calculated using an Excel model of the networks, multiple power flows, and customer load profiles. The marginal demand and energy loss results are then modeled using polynomials by discrete voltage level of service. This approach recognizes the importance of distributed generation and interconnections in deriving incremental losses, which will not typically equal I squared R loss estimates.
The Rate Management Program is a unique program tailored to provide dynamic design of demand, energy, and customer charges for each rate schedule in a manner that meets user determined revenue criteria and billing requirements while simultaneously addressing competitive market conditions. The program employs user specified rate design criteria to establish the levels of customer charges, demand charges, and energy charges. The program is sufficiently robust to address such pricing characteristics as seasonal rates, declining block rates, time-of-use rates, hours-use rates, standby charges, unbundled rates, and other rate forms. Customer impact analyses are provided to analyze intra-class effects of proposed rates, and bill comparison analyses are provided to allow the user to compare the effectiveness of the designated rates at various usage levels and load factors to the rates of other utilities.