The DOI matches its Crossref record; 15 of the 15 references it cites were found in a registry or an index.
Market and Policy Barriers for Demand Response Providing Ancillary Services in U.S. Markets
Open accessAbstract
In this study, we attempt to provide a comprehensive examination of various market and policy barriers to demand response providing ancillary services in both ISO/RTO and non-ISO/RTO regions, especially at the program provider level. It is useful to classify barriers in order to create a holistic understanding and identify parties that could be responsible for their removal. This study develops a typology of barriers focusing on smaller customers that must rely on a program provider (i.e., electric investor owned utility or IOU, ARC) to create an aggregated DR resource in order to bring ancillary services to the balancing authority.ii The barriers were identified through examinations of regulatory structures, market environments, and product offerings; and discussions with industry stakeholders and regulators. In order to help illustrate the differences in barriers among various wholesale market designs and their constituent retail environments, four regions were chosen to use as case studies: Colorado, Texas, Wisconsin, and New Jersey. We highlight the experience in each area as it relates to the identified barriers.
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“In the U.S. the North American Electric Reliability Corporation (NERC) has provided de fi nitions that are functionally based and technology neutral in order to include DR participation. However, several regional reliability organizations in the U.S. such as the Western Electricity Coordinating Council (WECC) do not currently allow the provision of reserves from DR resources [185]. Furthermore,”
From An overview of Demand Response: Key-elements and international experience (2017) · cites this paper as [186]
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In the citing paper
“For example, the ERCOT and PJM have set the minimum bid size to 0.1 MW, while the requirement in MISO is 1 MW [186].”
From An overview of Demand Response: Key-elements and international experience (2017) · cites this paper as [186]
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Citations
Cites
Callaway, D. S. (2009) · Energy Conversion and Management · doi:10.1016/j.enconman.2008.12.012 · Cited by 772
Operational Impacts of Wind Generation on California Power Systems
Makarov, Y. V., Loutan, C., Ma, J., et al. (2009) · IEEE Transactions on Power Systems · doi:10.1109/tpwrs.2009.2016364 · Cited by 623
Coordination of Energy Efficiency and Demand Response
Goldman, C. A., Reid, M., Levy, R., et al. (2010) · doi:10.2172/981732 · Cited by 165
Self-citationSupporting solar power in renewables portfolio standards: Experience from the United States
Wiser, R. H., Barbose, G. L., & Holt, E. (2010) · Energy Policy · doi:10.1016/j.enpol.2010.11.025 · Cited by 138
Demand Response Spinning Reserve Demonstration
Eto, J. H., USDOE, Nelson-Hoffman, J., et al. (2007) · doi:10.2172/925589 · Cited by 116
Starke, M. R., Kirby, B. J., Kueck, J. D., Todd, D., Caulfield, M., & Helms, B. (2009) · doi:10.2172/948544 · Cited by 92
Demand Response For Power System Reliability: FAQ
Kirby, B. J. (2006) · doi:10.2172/930818 · Cited by 92
Load Response Fundamentally Matches Power System Reliability Requirements
Kirby, B. J. (2007) · 2007 IEEE Power Engineering Society General Meeting · doi:10.1109/pes.2007.386227 · Cited by 78
MacDonald, J., Cappers, P. A., Callaway, D. S., et al. (2012) · eScholarship (California Digital Library) · Cited by 74
Self-citationCappers, P. A., Mills, A., Goldman, C. A., Wiser, R. H., & Eto, J. H. (2012) · Energy Policy · doi:10.1016/j.enpol.2012.05.040 · Cited by 71
Self-citation
Research works printed but not linked: 3
- Helman, U. (2010) Resource and transmission planning to achieve a 33% RPS in California-ISO modeling tools and planning framework. Presented at FERC Technical Conference on Planning Models and Software. IRC (2012) North American Wholesale Electricity Demand Response Program Comparison, 2011 Edition.
- Wellinghoff, J. (2009) Remarks by FERC Chairman Jon Wellinghoff at CAISO Stakeholder Symposium. October 7, 2009.
- Woychik, E. (2008) Optimizing demand response: A comprehensive DR business case quantifies a full range of concurrent benefits. Public Utilities Fortnightly. 146(5): 52-56.
Cited by
Sorted by citations
An overview of Demand Response: Key-elements and international experience
Paterakis, N. G., Erdinç, O., & Catalão, J. P. S. (2017) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2016.11.167 · Cited by 640
Metadata
- Authors
- Lawrence Berkeley National Lab. (LBNL), B., Cappers, P., USDOE Office of Science (SC), MacDonald, J., & Goldman, C.
- Affiliations
- Lawrence Berkeley National Laboratory (US)
- Published
- 2013-03-01
- OpenAlex
- W18940056
- Cited by
- 20
- References
- 15
- Citations by year
- 2020: 4 · 2019: 1 · 2017: 3 · 2016: 5 · 2015: 3 · 2014: 2 · 2013: 2
- Type
- report
- Language
- en
- Open access
- green
- www.osti.gov
- Licence
- other-oa
- Locations
- OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information) (submittedVersion, other-oa)
- eScholarship (California Digital Library) (submittedVersion)
- Funders
- USDOE Office of Science (SC)
- DOE (AC02-05CH11231)
- Topics
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Smart Grid Energy Management
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Electric Power System Optimization
- Social Sciences › Law › Energy Law and Policy
- Keywords
- demand response, ancillary services, market barriers, policy barriers, program providers, balancing authority, retail electricity market, electricity regulation, Colorado, Texas, Wisconsin, New Jersey
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- Lawrence Berkeley National Lab. (LBNL), B., Cappers, P., USDOE Office of Science (SC), MacDonald, J., & Goldman, C. (2013). Market and Policy Barriers for Demand Response Providing Ancillary Services in U.S. Markets. https://doi.org/10.2172/1171799
