A Resiliency-oriented Optimal Operation of Microgrids Considering Electric Vehicles

2023 International Conference on Future Energy Solutions (FES) Pub Date : 2023-06-12 DOI:10.1109/FES57669.2023.10183152

Seyed Farhad Zandrazavi, Alejandra Tabares, J. Franco, M. Shafie‐khah, J. Soares, Z. Vale

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Abstract

The sharp increase in renewable energy generation and the number of electric vehicles enhance power systems’ modernization, decarbonization, and decentralization. As a result, microgrids (MGs) with renewable energy integration and charging facilities have attracted significant attention. Nonetheless, disregarding uncertainties in optimization models for MGs can lead to either risky or costly decisions. In addition, sustainable development and operation of MGs must enhance the system’s resiliency to guarantee functionality during abnormal situations. Therefore, this paper proposes a two-stage stochastic programming model to ensure the resilient operation of microgrids with charging facilities. At the same time, uncertainties associated with renewable generation, demand, and market price are addressed via scenarios. To enhance resiliency against unplanned islanding, a scenario for outages is defined so that preventive actions can be done in the first stage to robust the energy management of the microgrid.

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考虑电动汽车的微电网弹性优化运行

可再生能源发电和电动汽车数量的急剧增加促进了电力系统的现代化、脱碳和分散化。因此，具有可再生能源整合和充电设施的微电网(mg)引起了人们的极大关注。尽管如此，忽略mg优化模型中的不确定性可能导致风险或代价高昂的决策。此外，mgg的可持续发展和运行必须增强系统的弹性，以保证在异常情况下的功能。为此，本文提出了一种两阶段随机规划模型，以保证具有充电设施的微电网弹性运行。与此同时，与可再生能源发电、需求和市场价格相关的不确定性通过情景来解决。为了增强对计划外孤岛的弹性，定义了停电情景，以便在第一阶段采取预防措施，以加强微电网的能源管理。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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2023 International Conference on Future Energy Solutions (FES)

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