Holistic Methodology for the Optimal Planning of Wide-Area Interconnected Hybrid and Multimodal AC-DC Power Systems under Uncertainties

不确定性下广域互联混合多模交直流电力系统优化规划的整体方法

• 批准号: 450980308
• 负责人: Professorin Dr.-Ing. Johanna M.A. Myrzik
• 金额: --
• 依托单位: Institut für Automatisierungstechnik (IAT)
• 依托单位国家: 德国
• 项目类别: Priority Programmes
• 资助国家: 德国
• 项目状态: 未结题
• 来源: https://gepris.dfg.de/gepris/projekt/450980308?language=en
• 关键词: Holistic; Methodology; Optimal; Planning; Wide

Electric power industry for decades has faced the challenges ofmodern energy usage, which has been characterized by a strongdependency to electrical energy and consequently, to a steadyincrease of the demand of electricity with high reliability and quality.The current German and European energy policies concerning theenergy transition and the reduction of CO2 emission requires a radicalparadigm change of the whole energy supply landscape in the next 50years. These issues have led to a transition from passive to activedistribution networks (ADN), which shifts many operationalmanagement duties and planning issues from the transmissionnetwork to the distribution level. Thus, the concept of Smart PowerCells (SPCs) has been proposed to tackle the transition and futureoperation characteristics and it is defined as a controllable subsectionof the power system where power-electronics-based electricdistributed generators, storage devices and conventional, as well asflexible loads are interconnected via medium and low voltage AC-DCnetworks and multimodal interfaces. The future of the power systemscan be projected as a power-electronics-based decentralized hybridand multimodal AC-DC power system formed by a large and variablenumber of wide area interconnected and coordinated SPCs, whichmust be optimally defined from the planning stage. Consequently, thisproject will propose a holistic methodology for the planning of SPCsas cellular components for the expansion of wide-area interconnectedhybrid and multimodal AC-DC power systems. The methodology isintended to consider an adaptable planning strategy, which allows itsapplicability to a comprehensive range of case studies with differenttime frames, planning types, business cases, technical requirements,geographical conditions, involved stakeholders etc.. Furthermore, keySPC’s planning features such as the integration of operationalcharacteristics into the planning stage, the consideration of multiplecontradictory planning objectives via a true-multi-objective planning problem and the effective modelling of high-level uncertainties will becontemplated in this methodology. Thus, it is expected that themethodology becomes a useful planning tool to first, identify andconfigure the planning-case based on initial planning conditions andthe subsequent selection of the required mathematical models,optimization problem characteristics and solving algorithms, andsecond, the optimal procurement of possible Pareto solutions toaccomplish a final decision making for the solution to the planningproblem under complex operational characteristics and uncertainties.

几十年来，电力工业一直面临着现代能源使用的挑战，其特点是对电能的强烈依赖，因此对高可靠性和高质量电力的需求稳步增长，德国和欧洲目前关于能源转型和减少CO2排放的能源政策要求在未来50年内彻底改变整个能源供应格局。这些问题导致了从被动到主动配电网络（ADN）的过渡，这将许多运营管理职责和规划问题从输电网络转移到配电层面。因此，智能动力电池（SPC）的概念已被提出来解决过渡和未来的运行特性，它被定义为一个可控的子部分的电力系统，其中电力电子为基础的电力分布式发电机，存储设备和传统的，以及灵活的负载通过中，低压AC-DC网络和多模式接口互连。未来的电力系统将是一个基于电力电子技术的分散式混合多模式交直流电力系统，它由大量的、可变数量的、广域互联的、协调的SPC组成，这些SPC必须从规划阶段就进行优化定义。因此，本项目将提出一个整体的方法来规划SPC作为蜂窝组件的广域互联混合和多模式AC-DC电力系统的扩展。该方法的目的是考虑一个适应性强的规划战略，使其适用于一个全面的案例研究与不同的时间框架，规划类型，业务案例，技术要求，地理条件，涉及利益相关者等。此外，关键SPC的规划功能，如集成的operationalcharacteristics到规划阶段，考虑多个contradictory规划目标，通过一个真正的多目标规划问题和高层次的不确定性的有效建模将在这种方法中被contemplated。因此，它是预期的方法成为一个有用的规划工具，第一，识别和配置的规划情况的基础上的初始规划条件和随后选择所需的数学模型，优化问题的特点和解决算法，第二，最优采购可能的Pareto解决方案，以完成最终决策的解决方案的规划问题在复杂的操作特性和不确定性。