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Title: Using Supercomputers to Speed Execution of the CAISO/PLEXOS 33% RPS Study

Abstract

The study's official title is 'ISO Study of Operational Requirements and Market Impacts at 33% Renewable Portfolio Standard (RPS).' The stated objectives are twofold: (1) identifying operational requirements and resource options to reliably operate the ISO-controlled grid under a 33% RPS in 2020; and (2) inform market, planning, and policy/regulatory decisions by the ISO, state agencies, market participants, and other stakeholders. The first of these objectives requires the hourly estimates of integration requirements, measured in terms of operational ramp, load following and regulation capacity and ramp rates, as well as additional capacity to resolve operational violations. It also involves consideration of other variables that affect the results, such as the impact of different mixes of renewable technologies, and the impact of forecasting error and variability. The second objective entails supporting the CPUC to identify long-term procurement planning needs, costs, and options, as well as informing other decisions made by the CPUC and state agencies. For the ISO itself this includes informing state-wide transmission planning needs for renewables up to a 33% RPS, and informing design of wholesale markets for energy and ancillary services to facilitate provision of integration capacities. The study is designed in two phases. The first (current) phasemore » is focused on operational requirements and addressing these requirements with existing and new conventional fossil generation; for instance, gas turbines and/or combined cycle units. The second (planned) phase will address the same operational requirements with a combination of conventional fossil generation resources, new non-generation resources, and a renewable resource dispatch. There are seven different scenarios considered in the current phase: a 20% RPS reference case; four 33% RPS cases (a reference case, a high out-of-state case, a high distributed generation case, and a low load case); an alternative 27.5% RPS case; and an all-gas case (no new renewables after 2008). In addition, the CPUC is planning a new set of cases that will alter the anticipated sets of runs.« less

Authors:
; ; ; ;
Publication Date:
Research Org.:
Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States)
Sponsoring Org.:
USDOE
OSTI Identifier:
1035960
Report Number(s):
LLNL-TR-500257
TRN: US201206%%44
DOE Contract Number:
W-7405-ENG-48
Resource Type:
Technical Report
Country of Publication:
United States
Language:
English
Subject:
29 ENERGY PLANNING, POLICY AND ECONOMY; 97 MATHEMATICAL METHODS AND COMPUTING; CAPACITY; COMBINED CYCLES; DESIGN; FORECASTING; GAS TURBINES; MARKET; PLANNING; PROCUREMENT; REGULATIONS; SUPERCOMPUTERS

Citation Formats

Meyers, C, Streitz, F, Yao, Y, Smith, S, and Lamont, A. Using Supercomputers to Speed Execution of the CAISO/PLEXOS 33% RPS Study. United States: N. p., 2011. Web. doi:10.2172/1035960.
Meyers, C, Streitz, F, Yao, Y, Smith, S, & Lamont, A. Using Supercomputers to Speed Execution of the CAISO/PLEXOS 33% RPS Study. United States. doi:10.2172/1035960.
Meyers, C, Streitz, F, Yao, Y, Smith, S, and Lamont, A. 2011. "Using Supercomputers to Speed Execution of the CAISO/PLEXOS 33% RPS Study". United States. doi:10.2172/1035960. https://www.osti.gov/servlets/purl/1035960.
@article{osti_1035960,
title = {Using Supercomputers to Speed Execution of the CAISO/PLEXOS 33% RPS Study},
author = {Meyers, C and Streitz, F and Yao, Y and Smith, S and Lamont, A},
abstractNote = {The study's official title is 'ISO Study of Operational Requirements and Market Impacts at 33% Renewable Portfolio Standard (RPS).' The stated objectives are twofold: (1) identifying operational requirements and resource options to reliably operate the ISO-controlled grid under a 33% RPS in 2020; and (2) inform market, planning, and policy/regulatory decisions by the ISO, state agencies, market participants, and other stakeholders. The first of these objectives requires the hourly estimates of integration requirements, measured in terms of operational ramp, load following and regulation capacity and ramp rates, as well as additional capacity to resolve operational violations. It also involves consideration of other variables that affect the results, such as the impact of different mixes of renewable technologies, and the impact of forecasting error and variability. The second objective entails supporting the CPUC to identify long-term procurement planning needs, costs, and options, as well as informing other decisions made by the CPUC and state agencies. For the ISO itself this includes informing state-wide transmission planning needs for renewables up to a 33% RPS, and informing design of wholesale markets for energy and ancillary services to facilitate provision of integration capacities. The study is designed in two phases. The first (current) phase is focused on operational requirements and addressing these requirements with existing and new conventional fossil generation; for instance, gas turbines and/or combined cycle units. The second (planned) phase will address the same operational requirements with a combination of conventional fossil generation resources, new non-generation resources, and a renewable resource dispatch. There are seven different scenarios considered in the current phase: a 20% RPS reference case; four 33% RPS cases (a reference case, a high out-of-state case, a high distributed generation case, and a low load case); an alternative 27.5% RPS case; and an all-gas case (no new renewables after 2008). In addition, the CPUC is planning a new set of cases that will alter the anticipated sets of runs.},
doi = {10.2172/1035960},
journal = {},
number = ,
volume = ,
place = {United States},
year = 2011,
month = 9
}

Technical Report:

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  • In this final report, we summarize the contributions made through support from the DOE ECPI award to research and training in advanced computing systems.
  • In 2008 Governor Schwarzenegger of California issued an executive order requiring that 33 percent of all electricity in the state in the year 2020 should come from renewable resources such as wind, solar, geothermal, biomass, and small hydroelectric facilities. This 33% renewable portfolio standard (RPS) was further codified and signed into law by Governor Brown in 2011. To assess the market impacts of such a requirement, the California Public Utilities Commission (CPUC) initiated a study to quantify the cost, risk, and timing of achieving a 33% RPS by 2020. The California Independent System Operator (CAISO) was contracted to manage thismore » study. The production simulation model used in this study was developed using the PLEXOS software package, which allows energy planners to optimize long-term system planning decisions under a wide variety of system constraints. In this note we describe our observations on varying the optimality tolerance in the CAISO 33% RPS model. In particular, we observe that changing the optimality tolerance from .05% to .5% leads to solutions over 5 times faster, on average, producing very similar solutions with a negligible difference in overall distance from optimality.« less
  • In this report we compare the output of the California Independent System Operator (CAISO) 33% RPS Plexos model when run on various computing systems. Specifically, we compare the output resulting from running the model on CAISO's computers (Windows) and LLNL's computers (both Windows and Linux). We conclude that the differences between the three results are negligible in the context of the entire system and likely attributed to minor differences in Plexos version numbers as well as the MIP solver used in each case.