干旱区生态环境知识资源中心(Arid): Planning for a Distributed Disruption: Innovative Practices for Incorporating Distributed Solar into Utility Planning

Arid

DOI	10.2172/1332539
报告编号	LBNL--1006047
来源ID	OSTI_ID: 1332539
	Planning for a Distributed Disruption: Innovative Practices for Incorporating Distributed Solar into Utility Planning
	Mill, Andrew [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)]; Barbose, Galen [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)]; Seel, Joachim [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)]; Dong, Changgui [National Renewable Energy Lab. (NREL), Golden, CO (United States)]; Mai, Trieu [National Renewable Energy Lab. (NREL), Golden, CO (United States)]; Sigrin, Ben [National Renewable Energy Lab. (NREL), Golden, CO (United States)]; Zuboy, Jarrett [Independent Consultant]
英文摘要	The rapid growth of distributed solar photovoltaics (DPV) has critical implications for U.S. utility planning processes. This report informs utility planning through a comparative analysis of roughly 30 recent utility integrated resource plans or other generation planning studies, transmission planning studies, and distribution system plans. It reveals a spectrum of approaches to incorporating DPV across nine key planning areas, and it identifies areas where even the best current practices might be enhanced. 1) Forecasting DPV deployment: Because it explicitly captures several predictive factors, customer-adoption modeling is the most comprehensive forecasting approach. It could be combined with other forecasting methods to generate a range of potential futures. 2) Ensuring robustness of decisions to uncertain DPV quantities: using a capacity-expansion model to develop least-cost plans for various scenarios accounts for changes in net load and the generation portfolio; an innovative variation of this approach combines multiple per-scenario plans with trigger events, which indicate when conditions have changed sufficiently from the expected to trigger modifications in resource-acquisition strategy. 3) Characterizing DPV as a resource option: Today鈥檚 most comprehensive plans account for all of DPV鈥檚 monetary costs and benefits. An enhanced approach would address non-monetary and societal impacts as well. 4) Incorporating the non-dispatchability of DPV into planning: Rather than having a distinct innovative practice, innovation in this area is represented by evolving methods for capturing this important aspect of DPV. 5) Accounting for DPV鈥檚 location-specific factors: The innovative propensity-to-adopt method employs several factors to predict future DPV locations. Another emerging utility innovation is locating DPV strategically to enhance its benefits. 6) Estimating DPV鈥檚 impact on transmission and distribution investments: Innovative practices are being implemented to evaluate system needs, hosting capacities, and system investments needed to accommodate DPV deployment. 7) Estimating avoided losses associated with DPV: A time-differentiated marginal loss rate provides the most comprehensive estimate of avoided losses due to DPV, but no studies appear to use it. 8) Considering changes in DPV鈥檚 value with higher solar penetration: Innovative methods for addressing the value changes at high solar penetrations are lacking among the studies we evaluate. 9) Integrating DPV in planning across generation, transmission, and distribution: A few states and regions have started to develop more comprehensive processes that link planning forums, but there are still many issues to address.
出版年	2016
报告类型	Technical Report
语种	英语
国家	美国
来源学科分类	14 SOLAR ENERGY ; 29 ENERGY PLANNING, POLICY, AND ECONOMY
URL	http://www.osti.gov/scitech/servlets/purl/1332539
资源类型	科技报告
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/271346
推荐引用方式 GB/T 7714	Mill, Andrew [Lawrence Berkeley National Lab. ,Barbose, Galen [Lawrence Berkeley National Lab. ,Seel, Joachim [Lawrence Berkeley National Lab. ,et al. Planning for a Distributed Disruption: Innovative Practices for Incorporating Distributed Solar into Utility Planning,2016.