期刊
IEEE TRANSACTIONS ON SUSTAINABLE ENERGY
卷 8, 期 1, 页码 374-384出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TSTE.2016.2600320
关键词
Energy storage; power distribution; power system planning; smart grids
资金
- Engineering and Physical Sciences Research Council [EP/I016953/1, EP/I016953/2, EP/P001173/1, EP/K002252/1] Funding Source: researchfish
- EPSRC [EP/K002252/1, EP/I016953/1, EP/P001173/1, EP/I016953/2] Funding Source: UKRI
When a primary substation reaches its capacity limit, the standard solution is to reinforce the networkwith additional circuits. Under the right conditions, the required additional peak capacity can be provided by energy storage systems (ESS), real-time thermal ratings (RTTR) or a combination of the two. We present a probabilistic method for calculating the size of an electrical energy storage system for a demand peak shaving application. The impact of both power and energy capacity are considered, along with the reliability of the energy storage and the existing overhead lines. We also consider the combination of energy storage and RTTR - taking advantage of the inherent variability in power line rating as a result of changing weather conditions - for enhancing reliability, deferring conventional reinforcement, and increasing the availability of energy storage to participate in commercial service markets. The method is demonstrated in a case study on a network with an ongoing 6-MW/10-MWh ESS innovation project.
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