Strategic Network Expansion Planning with Electric Vehicle Smart Charging Concepts as Investment Options
Strategic Network Expansion Planning with Electric Vehicle Smart Charging Concepts as Investment Options
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DOI：
10.1016/j.adapen.2021.100077
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发表时间：
2021-12
影响因子：
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通讯作者：
Stefan Borozan;S. Giannelos;G. Strbac
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文献类型：
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作者：
Stefan Borozan;S. Giannelos;G. Strbac
作为全球脱碳努力的一部分，交通电气化似乎是不可避免的，但电动汽车的电力系统集成面临着许多挑战，包括不成比例的高需求高峰，需要昂贵的基础设施投资。此外，电力部门的长期发展具有很大的不确定性，这增加了作出错误投资决定导致资产搁浅的风险。因此，如果不实施智能充电概念，并结合考虑不确定性影响的战略网络扩展规划，电气化运输的成本效益系统集成将是不可能的。针对多维不确定性条件下的大规模、长期网络扩展规划问题，提出了G2V、V2G和V2B投资运营模型。此外，它提出了一个多阶段的随机规划框架，可以确定最佳的投资策略，使预期的系统成本最小化，并减少搁浅投资的风险。该模型在IEEE 24节点测试系统上进行了验证，并应用于英国电力系统的案例研究。研究结果强调，G2V、V2G和V2B是传统加固的有效非网络替代方案，可以节省大量经济成本，并作为对冲不确定性的工具。就英国而言，在40年的时间跨度内，G2V、V2G和V2B的期权价值分别为12亿英镑、108亿英镑和101亿英镑。虽然量化值是特定于系统的，但本文提出了关于智能充电概念作为投资选择的作用的关键观察结果，可以推广到任何低碳电力系统。
The electrification of transport seems inevitable as part of global decarbonization efforts, but power system integration of electric vehicles faces numerous challenges, including a disproportionately high demand peak necessitating expensive infrastructure investments. Moreover, long-term developments in the power sector are characterized by great uncertainty, which increases the risk of making incorrect investment decisions leading to stranded assets. A cost-effective system integration of electrified transport would therefore not be possible without the implementation of smart charging concepts in combination with strategic network expansion planning that considers the impact of uncertainties. This paper proposes investment and operation models of Grid-to-Vehicle (G2V), Vehicle-to-Grid (V2G), and Vehicle-to-Building (V2B) for the large-scale and long-term network expansion planning problem under multi-dimensional uncertainty. Additionally, it presents a multi-stage stochastic planning framework that can identify optimal investment strategies such that the expected system cost is minimized and the risk of stranded investments is reduced. The models are demonstrated on the IEEE 24-bus test system and applied in a case study of the power system of Great Britain. The results highlight G2V, V2G and V2B as effective non-network alternatives to conventional reinforcement that could generate substantial economic savings and act as hedging instruments against uncertainty. For the case of Great Britain, the Option Values of G2V, V2G, and V2B could amount to £1.2bn, £10.8bn, and £10.1bn, respectively, over a 40-year horizon. Although the quantified values are system-specific, the paper presents key observations on the role of smart charging concepts as investment options that can be generalized for any low-carbon power system.