Advanced Design, Planning and Control Algorithms for Smart Distribution Grids

智能配电网的先进设计、规划和控制算法

• 批准号: RGPIN-2014-06709
• 负责人: Farag, Hany
• 金额: $ 1.82万
• 依托单位: York University
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2016
• 资助国家: 加拿大
• 起止时间: 2016-01-01 至 2017-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=612376
• 关键词: Advanced; Design; Planning; Control; Algorithms

Driven by the urgent need to develop cleaner and more efficient, reliable, and resilient electric power grids, the energy sector is currently moving towards an era of smart grids. The main pillar of a smart grid setup is the evolution from a vertically integrated, partially-automated and producer-controlled electric power network to a decentralized one that enables interactions among customers, network operators, and power producers. In response to smart grid initiatives, electrical distribution grids are undergoing a major transition towards a smart distribution grids (SDGs) structure characterized by high penetration of distributed and renewable generation (DG), plug-in electric vehicles (PEV), energy storage devices, and grid-automation devices. The structure of SDGs will be divided into set of microgrids with sufficient generation to meet all or most of their local loads. Yet, major technical challenges face the realization of SDG vision due to its emergent nature. To that end, the proposed research program aims to develop a unifying framework for design, planning and control strategies of SDGs to facilitate timely and safe transition of distribution grids. In particular, three main projects will be conducted in the proposed research program. First, developing new design and planning strategies for the structure of SDGs (e.g. Optimal allocation and sizing of new components and technologies in SDGs, optimal set of microgrids that can be identified, created, and designed in a typical SDG and optimal configuration of the created microgrids). Second, developing a comprehensive multi-agent distributed control scheme to facilitate a scalable real-time cooperative control in SDGs. The proposed control scheme will integrate several operational scenarios and control objectives for SDGs clustered into microgrids with different configurations and modes of operation; important among these are online self-healing, power quality, and voltage stability. Third, developing real-time smart coordinated control schemes to accommodate high penetration of PEVs into aging distribution grids. The proposed research will help distribution power utilities to eliminate the current barriers towards the deployment of sustainable and clean energy resources, and smart grid technologies into the utility grid. The proliferation of these new essentials will help improve the overall power system performance by increasing the system reliability, power quality and efficiency while minimizing the environmental impact of the current central power generation plants. The proposed research is expected to create a knowledge-base and tools that are extremely useful to the energy system industry to facilitate the safe transition of current distribution grids into SDGs through better understanding of new requirements, upgrades, and concepts. The proposed research will place the theoretical foundations in the emerging area of SDGs research. Further, it will provide students with skills in vital areas of smart grids and sustainable energy. The energy and environment have been identified as a driving force for the new energy economy; Canada is a world leader in this area thus the accomplishment of the proposed research plan will have significant and measurable economic and environmental impact to Canada.

在发展更清洁、更高效、更可靠、更有弹性的电网的迫切需求的推动下，能源行业正在迈向智能电网时代。智能电网设置的主要支柱是从垂直集成、部分自动化和生产商控制的电力网络向分散式电力网络的演变，该网络能够实现客户、网络运营商和电力生产商之间的互动。为了响应智能电网倡议，配电网正在经历向智能配电网（SDG）结构的重大转变，其特点是分布式和可再生能源发电（DG）、插电式电动汽车（PEV）、储能设备的高渗透率，和电网自动化设备。 SDG 的结构将分为一组具有足够发电量的微电网，以满足全部或大部分当地负荷。 然而，由于其新兴性质，实现可持续发展目标愿景面临着重大技术挑战。为此，拟议的研究计划旨在开发一个统一的可持续发展目标设计、规划和控制策略框架，以促进配电网及时、安全的过渡。特别是，拟议的研究计划将开展三个主要项目。首先，为可持续发展目标的结构制定新的设计和规划策略（例如，可持续发展目标中新组件和技术的优化分配和规模调整，可以在典型可持续发展目标中识别、创建和设计的一组最佳微电网，以及所创建的微电网的最佳配置）微电网）。其次，开发全面的多智能体分布式控制方案，以促进可持续发展目标中可扩展的实时协作控制。所提出的控制方案将整合可持续发展目标的多种运行场景和控制目标，并聚集到具有不同配置和运行模式的微电网中；其中重要的是在线自愈、电能质量和电压稳定性。第三，开发实时智能协调控制方案，以适应电动汽车在老化配电网中的高渗透率。 拟议的研究将帮助配电公司消除当前在公用电网中部署可持续和清洁能源以及智能电网技术的障碍。这些新要素的普及将有助于提高系统可靠性、电能质量和效率，同时最大限度地减少当前中央发电厂对环境的影响，从而提高整体电力系统性能。拟议的研究预计将创建一个对能源系统行业极其有用的知识库和工具，通过更好地理解新的要求、升级和概念，促进当前配电网安全过渡到可持续发展目标。拟议的研究将为可持续发展目标研究的新兴领域奠定理论基础。此外，它将为学生提供智能电网和可持续能源重要领域的技能。能源和环境被确定为新能源经济的驱动力；加拿大在这一领域处于世界领先地位，因此拟议研究计划的完成将对加拿大产生重大且可衡量的经济和环境影响。