Agent-based Modelling of Electricity Networks (AMEN)

基于代理的电力网络建模 (AMEN)

基本信息

批准号：
EP/K033492/1
负责人：
Richard Mark Rylatt
金额：
$ 71.59万
依托单位：
De Montfort University
依托单位国家：
英国
项目类别：
Research Grant
财政年份：
2013
资助国家：
英国
起止时间：
2013 至无数据
项目状态：
已结题

来源：
https://gtr.ukri.org/projects?ref=EP%2FK033492%2F1
关键词：
Agent based Modelling Electricity Networks

项目摘要

The project seeks to make a significant and original contribution to efforts being marshalled by the UK Research Councils - following government level advice - to improve the international profile and national strategic impact of energy modelling in the UK. It will provide valuable insights - both quantitative and qualitative - into questions of key importance fpr policymakers and the power sector as they seek to square the circle of emissions reduction and a viable, secure energy supply by 2050. It will address in the context of the electricity network, perceived general weaknesses in whole energy systems modelling - from the closely related standpoint of complex systems research - in the areas of end-use behaviour, technology dynamics, and energy in industry. According to the Committee on Climate Change, to meet the Government's challenging emissions reduction goals would require almost complete decarbonisation of electricity generation by around 2030. It is highly likely therefore that electricity will become even more significant than its current 37% share of emissions implies, as moves towards the electrification of heat and transport accelerate. This has huge implications for the electricity infrastructure. Another fundamental assumption is that there will be a restructuring of the electricity market as signalled in the Government's recent Draft Energy Bill. These potentially game-changing developments will shape the project. The approach used will be based on De Montfort University's innovative agent-based electricity market modeling Framework known as CASCADE, which so far has been used mainly to explore the relationship between end-users and smart technology; the expected rapid infiltration of distributed generators at low and medium voltage levels; more active participation by demand entities; new communication protocols; and smart energy controllers. The Framework will be developed to improve and expand its models of large-scale generation, the transmission network, the wholesale electricity market and the ability to model technology adoption and diffusion on long time-scales, in order to address the interrelationships and complex effects of such possible developments as Locational Pricing; richer agency models for Distribution Network Operators; congestion management based on economic signals; a restructured Balancing Mechanism.A key principle will be that the modelling methods, assumptions and and limitations will be made clear to stakeholders through accessible data description and highly focussed and structured dissemination activities.

该项目旨在为英国研究委员会编组的努力做出重大而最初的贡献 - 遵循政府级别的建议 - 改善英国能源建模的国际知识和国家战略影响。它将为FPR决策者和电力部门的关键问题提供宝贵的见解，包括定量和权力部门的问题，他们试图在2050年到2050年的排放圈以及可行的，安全的能源供应。它将在电力网络中解决整个能源系统模型中的一般能源系统模型中的一般弱点，从而在整个能源系统模型中 - 最终的一般性地进行了综合性，并在复杂的系统中进行了行为，并在整个能源系统中建立了一定的行为，并在整个能源系统上建立了一般性的领域，并在整个能源网络上建立了一般性的领域。根据气候变化委员会的说法，要达到政府具有挑战性的减少目标，几乎需要到2030年左右的发电量几乎完全脱碳。因此，由于电力的37％的份额意味着，电力极有可能变得更加重要，因为朝着热电器电气和运输加速升级。这对电力基础设施具有巨大的影响。另一个基本假设是，正如政府最近的能源法案草案中所标志着的电力市场将进行重组。这些可能改变游戏规则的发展将影响该项目。所使用的方法将基于De Montfort University的基于创新代理的电力市场建模框架，称为Cascad，该框架迄今已用于探索最终用户与智能技术之间的关系；在低压和中型电压水平下，分布式发电机的预期快速渗透；需求实体更积极的参与；新的通信协议；和智能能源控制器。将开发该框架，以改善和扩展其大规模生成，传输网络，批发电力市场的模型以及对长期尺度上的技术采用和扩散进行建模的能力，以解决等上定位定价等可能发展的相互关系和复杂影响；分销网络运营商的富裕代理模型；基于经济信号的拥塞管理；重组的平衡机制。一个关键原则将是通过可访问的数据描述以及高度关注和结构化的传播活动，将建模方法，假设和局限性清楚地为利益相关者。