INTEGRATED ASSESSMENT OF QUALITY OF SUPPLY IN FUTURE ELECTRICITY NETWORKS

传统的供应质量评估是基于几项独立研究的结果，其中系统性能分析通常与最终用户性能分析分开进行。这种方法需要额外的分析和计算工作，因为这些研究的结果必须经过后处理和合并，才能评估供应的总体质量。由于传统的供应质素评估属模块式性质，因此往往只局限于个别方面。这项首次拨款计划对传统的供应质素评估作出重大改变。它提出了一个通用的框架，成功集成的可靠性，电能质量，安全性和其他相关方面的供应质量分析在一个包罗万象的方法，能够评估系统和最终用户的性能。拟议的研究超出了一个简单的集成，并制定了两个重要的附加要求，这个通用的框架。第一个是所提出的方法应该完全适用于未来的电力网络，第二个是要求在供电质量分析中包括经济评估，为了完全适用于未来的电力网络，所提出的方法需要集成发电动态分析的关键要素，系统和负载对供电性能的整体质量的贡献，在一个改进的数值模拟模型，可以准确地解决亚秒/亚周期的响应。这是一个必要的先决条件，因为现有的组件模型和系统仿真程序不能直接用于正确分析未来灵活和主动控制网络中更高级别的动态交互，随着分布式发电的高度渗透，需求侧管理的广泛实施以及高效、智能和自动化控制、监控、保护和通信基础设施。拟议研究的预期成果是一套新的指数和性能指标，这些指数和性能指标将能够量化由于例如系统配置的变化而导致的供应性能质量的任何改善或恶化，安装新组件或升级旧组件，或应用新的自动化/控制功能。这将使所实现的效益与每项所采取的措施或行动的已知或估计成本直接相关。这样，分析中将包括更准确的成本效益分析和经济评估，对整个系统和最终用户的供应质量业绩进行基准测试和验证。除了对促进真正的竞争力和正确的监管政策至关重要外，改进的成本效益评估工具还将允许对计划的变化进行经济评估，并有助于为每个系统和最终用户拥有或提供的资产、功能或服务分配更准确的价值，在研究的最后阶段，将制定拟议的总体供应质量评估方法的具体应用程序。这些措施将包括追踪实际供应质量水平差异的根本原因和平衡一般用户和服务最差用户的业绩的程序，改进系统指数相关分类的技术，以及为实际基准和合同目的而定制的各种例行程序。该分析将包括更详细的指导方针，用于在不同的网络配置中实施拟议方法的关键方面，具有不同的分布式发电渗透水平和不同的控制策略，或针对特定的最终用户和负荷部门。成本效益分析的具体应用将包括评估供应水平的实际或所需质量对收入上限管制、电价调整和系统或最终用户投资的影响。

Traditional assessment of quality of supply is based on the results of several independent studies, in which analysis of system performance is usually performed separately from the analysis of end-user performance. This approach requires additional analytical and computational efforts, as the outputs of these studies have to be post-processed and combined before the overall quality of supply can be assessed. Being modular in nature, traditional quality of supply assessment is also often partial.This first-grant Project introduces a major change to traditional quality of supply assessment. It proposes a generalised framework for the successful integration of reliability, power quality, security and other relevant aspects of quality of supply analysis in an all-inclusive methodology, capable of assessing both system and end-user performance. The proposed research goes beyond a simple integration, and formulates two important additional requirements for this generalised framework. The first one is that the proposed methodology should be fully applicable in future electricity networks, while the second requires inclusion of economic assessment in the quality of supply analysis.In order to be fully applicable in future electricity networks, the proposed methodology requires integration of key elements of the dynamic analysis of generation, system and load contributions to the overall quality of supply performance in an improved numerical simulation model that can accurately resolve sub-second/sub-cycle responses. This is a necessary prerequisite, because existing component models and system simulation procedures cannot be directly used for correct analysis of substantially higher levels of dynamic interactions in future flexible and actively controlled networks, with high penetration of distributed generation, wide implementation of demand side management and application of highly efficient, intelligent and automated control, monitoring, protection and communication infrastructures.The expected outcome of the proposed research is a set of new indices and performance indicators, which will be able to quantify any improvement or deterioration of quality of supply performance due to, for example, a change in system configuration, installation of new components or upgrading of the old ones, or application of new automation/control functionality. This will allow direct correlation of achieved benefits with the known or estimated costs of each applied measure or action. In that way, a more accurate cost-benefit analysis and economic assessment, benchmarking and validation of the overall system and end-user quality of supply performance will be included in the analysis. Besides being essential for promoting true competitiveness and correct regulator policies, improved cost-benefit evaluation tools will allow economic appraisal of planned changes and help in allocating more accurate value to each system and end-user owned or provided asset, function or service.At the final stage of research, specific application procedures of the proposed general quality of supply assessment methodology will be developed. These will include procedures for tracking the underlying causes of variance in actual quality of supply levels and balancing the performances of average and worst served users, improved techniques for correlated disaggregation of system indices, and various custom-tailored routines for practical benchmarking and contractual purposes. The analysis will include more detailed guidelines for the implementation of key aspects of the proposed methodology in different network configurations, with different distributed generation penetration levels and different control strategies, or for particular end-users and load sectors. Specific applications of cost-benefit analysis will include assessment of influence of actual or required quality of supply levels on revenue cap regulation, tariff adjustment and system or end-users investments.