Planning of Sustainable Distribution Networks Utilizing Mobile Energy Storage Systems

脱碳和智能电网计划导致配电网络（DNs）从传统向可持续电网的演变，可再生能源（RESs）和电动汽车（ev）的高渗透率。这些创新给域名系统的规划和运营带来了挑战。储能系统（ess）是一种很有前途的技术，可以缓解这些挑战。研究建议包括以下项目：1)增加DNs中RESs和快速充电站（FCSs）的连通性：随着RESs和电动汽车的普及率不断提高，DNs的充分性和安全性可能会因这些组件的不确定性而受到影响。因此，部署ess对于容纳大容量的ess和fcs至关重要。更具体地说，这些成分具有随时间变化的特征，这些特征随月份或季节的不同而不同。因此，与固定ESSs相比，移动ESSs （MESSs）的应用认为更有效和经济，以适应RESs和fcs的季节性。在这一领域提出的研究旨在开发一个随机规划框架，利用MESSs来提高DNs中RESs和fcs的渗透水平。2)提供对自然灾害的弹性响应：MESSs可以对自然灾害（如飓风、风暴等）造成的停电提供应急响应，从而提高DNs的弹性和可靠性。为此，本文提出的研究分为两个阶段：预定位和实时分配。这两个阶段确保将MESSs放置在正常运行期间为DNs服务的最佳位置，并在紧急情况下到达并恢复受影响的区域（微电网）。3)优化微电网投资：下一代DNs（即具有高RESs和ev渗透率的直流或混合交/直流微电网）需要具有成本效益的ess分配，以证明使用这种昂贵的技术是合理的。微电网边界定义了以负载和RESs的不同类型和功率分布为特征的区域。在相邻区域之间移动垃圾是满足其不同需求和优化ess投资成本的关键。因此，在考虑负荷和RESs的概率模型的基础上，建立一种新的微电网混沌系统规划模型，以优化混沌系统的成本和收益为目标。上述项目将支持HQP的培训，并提供增强DN可靠性和支持RESs与电动汽车集成所需的新工具。在加拿大，这项计划的工业受益者包括当地的配电公司（公用事业）。参与项目的学生将接受现代域名规划和运营方面的高级培训，成为高素质的个人，准备通过在学术界、工业界和政府的职业生涯为加拿大经济做出贡献。

De-carbonization and smart-grid initiatives led to an evolution in distribution networks (DNs) from conventional towards sustainable grids with high penetration of renewable energy sources (RESs) and electric vehicles (EVs). Such innovations impose challenges to the planning and operation of DNs. Energy storage systems (ESSs) are one promising technology that can mitigate some of these challenges. The research proposed include the following projects: 1)Increasing the connectivity of RESs and fast-charging stations (FCSs) in DNs: With the growing penetration levels of RESs and EVs, the adequacy and security of DNs could be compromised because of the uncertainty associated with such components. Thus, deploying ESSs is essential for accommodating large capacities of RESs and FCSs. More specifically, these components have time-varying profiles, which differ from one month, or season, to the other. Therefore, the application of mobile ESSs (MESSs) deems more efficient and economical, in comparison to stationary ESSs, to accommodate the seasonality of RESs and FCSs. The research proposed in this area aims at developing a stochastic planning framework that employs MESSs for increasing the penetration levels of RESs and FCSs in DNs. 2) Providing a resilient response to natural disasters: MESSs can provide emergency response to power outages due to natural disasters (e.g., hurricanes, storms, etc.), thus increasing the resiliency and reliability of DNs. For this purpose, the proposed research includes two stages: pre-positioning and real-time allocation. These two stages ensure placing MESSs at the optimal locations to serve DNs during normal operation, and to reach and restore affected zones (microgrids) during contingencies. 3)Optimizing investments in microgrids: Next-generation DNs (i.e., dc or hybrid ac/dc microgrids with high penetration of RESs and EVs) necessitate the cost-effective allocation of ESSs to justify the use of such a costly technology. Microgrids boundaries define zones that are characterized by different types and power profiles of loads and RESs. Moving MESSs between neighboring zones is the key to meet their various needs and optimize investment costs of ESSs. Therefore, a new planning model for MESSs in microgrids is essential, which aims at optimizing costs and revenues of MESSs, while taking into consideration the probabilistic models of loads and RESs. The above projects will support the training of HQP and provide the new tools that are crucially needed to enhance DN reliability and support the integration of RESs and EVs. In Canada, the industrial beneficiaries of this program include local distribution companies (utilities). Students who participate in the projects will receive advanced training in the planning and operation of modern DNs, becoming highly qualified individuals ready to contribute to the Canadian economy through careers in academia, industry, and government.