Given the distinct differences between the LTPT and PCM tools, a summary comparison of the differences and the limitations between them is provided in Table 1. Table 1: 10-Year and 20-Year Model Limitations and Differences Attribute 10-Year Studies 20-Year Studies Tool Production Cost Model Capital Expansion Model Objective Production Cost Capital Cost Minimization Capacity additions and Understanding potential “energy futures” Focus specific projects, planned and and decisions needed to achieve those in progress futures Model decides to Dispatch Generation Build Generation and Transmission From balancing authorities w/ Load From BAs w/ stakeholder adjustment stakeholder adjustment Stakeholder specific and LTPT derived; Resources Stakeholder specific iterative Stakeholder specific and LTPT derived; Transmission Stakeholder specific iterative Interdependence Starting point of 20-Year Informs 10-Year In addition to these major models, there are a number of other models created to address the analytical needs of specific technologies. Oftentimes these models are located within the system-wide models described previously. These models are highly advanced and in many cases represent the techniques. These industry’s state-of-the-art supporting models include: Hydro Modeling TEPPC has extremely advanced hydro-generation modeling – that is used in the PCM. Hydro energy provides a large portion of the Western energy and is also a highly flexible resource. hydro Interconnection’s TEPPC’s models attempt to capture this energy as well as the flexible nature of the generators. Wind and Solar Modeling Capturing the variability and diversity of hourly wind – and solar generation is a key to creating accurate PCM studies. TEPPC utilizes National Renewable Energy Laboratory (NREL) data to model wind and solar generation in the PCM studies. Flexibility Reserve Calculator The NREL flexibility reserves method calculates – the additional reserves required to manage the variability and uncertainty associated with variable generation resources like wind and solar. Given the high
Given the distinct differences between the LTPT and PCM tools, a summary comparison of the differences and the limitations between them is provided in Table 1. Table 1: 10-Year and 20-Year Model Limitations and Differences Attribute 10-Year Studies 20-Year Studies Tool Production Cost Model Capital Expansion Model Objective Minimization Production Cost Capital Cost Focus Capacity additions and specific projects, planned and in progress Understanding potential “energy futures” and decisions needed to achieve those futures Model decides to Dispatch Generation Build Generation and Transmission Load From balancing authorities w/ stakeholder adjustment From BAs w/ stakeholder adjustment Resources Stakeholder specific Stakeholder specific and LTPT derived; iterative Transmission Stakeholder specific Stakeholder specific and LTPT derived; iterative Interdependence Starting point of 20-Year Informs 10-Year In addition to these major models, there are a number of other models created to address the analytical needs of specific technologies. Oftentimes these models are located within the system-wide models described previously. These models are highly advanced and in many cases represent the industry’s state-of-the-art techniques. These supporting models include: Hydro Modeling – TEPPC has extremely advanced hydro-generation modeling that is used in the PCM. Hydro energy provides a large portion of the Western Interconnection’s energy and is also a highly flexible resource. TEPPC’s hydro models attempt to capture this energy as well as the flexible nature of the generators. Wind and Solar Modeling – Capturing the variability and diversity of hourly wind and solar generation is a key to creating accurate PCM studies. TEPPC utilizes National Renewable Energy Laboratory (NREL) data to model wind and solar generation in the PCM studies. Flexibility Reserve Calculator – The NREL flexibility reserves method calculates the additional reserves required to manage the variability and uncertainty associated with variable generation resources like wind and solar. Given the high
2013Plan_ToolsandModels.docx