Integrated quasi-steady-state energy flow algorithms and flow distribution factors for future integrated energy systems (QUESTIES)

未来综合能源系统的综合准稳态能量流算法和流量分配因子（问题）

• 批准号: 428493136
• 负责人: Professor Dr.-Ing. Martin Wolter
• 金额: --
• 依托单位: Institut für Elektrische Energiesysteme (IESY)
• 依托单位国家: 德国
• 项目类别: Research Grants
• 资助国家: 德国
• 项目状态: 未结题
• 来源: https://gepris.dfg.de/gepris/projekt/428493136?language=en
• 关键词: Integrated; quasi; steady; state; energy

The increasing share of volatile renewable energy sources in power generation, the phase out of fossil fuel power plants and a lack of transmission lines create great challenges in the power system. This leads more often to a missing flexibility resulting in an endangered system stability. Here, a great potential is ascribed to integrated energy systems (IES, i.e. electricity, gas and heat) to add flexibility to the power system. Yet, an integration leads to interdependencies in the operation of the single energy systems; a change in one system will affect the other systems. If the systems are operated independently and the impact of a change in one system on the other systems is not known the probability that threats to system security are shifted between networks and responsibility areas will increase. Thus, the influence of single assets on the entire IES needs to be analyzed precisely, resulting in the need for a suitable method to estimate the impact of assets on all energy flows in the IES. Yet, only in the electric power system methods (i.e. distribution factors) are used to determine the impact of a load change on the power flows, which are based on the power flow algorithm using the Newton method. In the two other systems such methods do not exist. Thus, no method, that determines the impact of assets on all flows, is currently available to meet the requirements of a future IES. Hence, the proposed project will develop a method that adapts the already existing approach of distribution factors, which is nowadays limited to the power system, to be used for an IES.To provide such a method the existing integrated power, gas and heat flow algorithms need to be enhanced to meet the requirements of future IES. Hence, the project deals with four aspects. First, the flow algorithm will include the transient behavior in the gas and heating network. Second, Power-to-X technologies (e.g. heat pump, electrolyzer) will be included. Third, the gas flow algorithm emphasizes a hydrogen infeed and the resulting varying heat value along the gas network. Fourth, based on this integrated flow algorithm, the project will develop a methodology to determine the distribution factors of an IES and its coupling technologies. Consequently, the proposed project will deliver an algorithm that provides a comprehensive and flexible solution for the analysis of a future IES. It will enhance the method of distribution factors to be used in the same use cases but for an IES. Thus, the methodology is able to deliver a global optimal result for the entire IES operation rather than a local optimal result for a single network. The importance of such an approach will increase in the future due to an intensified coupling of today’s independent energy systems. Because the developed method has many possible use cases, which serve a secure and reliable energy system, it can be seen as an essential and inevitable research for a future energy system.

挥发性可再生能源在发电中的份额越来越大，化石燃料发电厂的逐步淘汰以及输电线路的缺乏给电力系统带来了巨大的挑战。这更多地会导致失去灵活性，从而危及系统稳定性。在这里，将巨大的潜力归因于综合能源系统(即电、气和热)，以增加电力系统的灵活性。然而，一体化导致了单一能源系统运行中的相互依存；一个系统的变化将影响其他系统。如果这些系统独立运作，并且不知道一个系统的变化对另一个系统的影响，则系统安全面临的威胁在网络和责任区之间转移的可能性将增加。因此，需要准确地分析单个资产对整个IES的影响，从而需要一种合适的方法来估计资产对IES中所有能量流动的影响。然而，在电力系统中，只有一些方法(即分布系数)被用来确定负荷变化对潮流的影响，这些方法是基于牛顿法的潮流算法。在另外两个系统中，这种方法是不存在的。因此，目前还没有一种方法可以确定资产对所有流动的影响，以满足未来独立专家的要求。因此，拟议的项目将开发一种方法，该方法适应现有的分配系数方法，目前仅限于电力系统，用于IES。为了提供这种方法，需要改进现有的功率、气体和热流综合算法，以满足未来IES的要求。因此，该项目涉及四个方面。首先，流动算法将包括燃气和供热管网中的瞬变行为。第二，将包括Power-to-X技术(例如热泵、电解槽)。第三，气体流动算法强调氢气进料和由此产生的沿气体网络的变化热值。第四，基于这一综合流量算法，该项目将开发一种确定IES及其耦合技术的分布系数的方法。因此，拟议的项目将提供一种算法，为未来独立专家系统的分析提供全面和灵活的解决方案。它将改进分配系数的方法，以便在相同的用例中使用，但不适用于IES。因此，该方法能够提供整个IES操作的全局最优结果，而不是单个网络的局部最优结果。由于当今独立的能源系统之间的耦合日益紧密，这种方法的重要性在未来将会增加。由于开发的方法有许多可能的用例，为安全可靠的能源系统服务，因此它可以被视为未来能源系统的必要和必然的研究。