Distributed Optimization in Residential Power Grids for Real-Time Energy Management Using Blockchain Based Smart Contracts

使用基于区块链的智能合约对住宅电网进行分布式优化，实现实时能源管理

• 批准号: RGPIN-2019-04632
• 负责人: Raahemifar, Kaamran
• 金额: $ 3.35万
• 依托单位: University of Waterloo
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2021
• 资助国家: 加拿大
• 起止时间: 2021-01-01 至 2022-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=737754
• 关键词: Distributed; Optimization; Residential; Power; Grids

This research program (RP) is aiming at distributed optimization and management of electric grid. The goal of RP is to design and analyze distributed algorithms for processing data. It has its roots in the fact that by splitting, dispersing and locating decision-making mechanisms closer to the loads and consumers, it is possible to achieve faster response time, better utilization and control over Distributed Energy Resources (DERs). This, in turn can increase security of the collected, transmitted and stored information through utilization of distributed ledgers such as Blockchain. Incorporation of Blockchain technology allows for real-time and dynamic pricing using smart contracts. This technology is promising in: A) Establishing a real-time response of Distributed Energy Resources (DERs) to price signals, B) Increasing reliability by locating where distributed energy resources and/or loads are affecting the system, C) Producing transparent and incorruptible ledger, and D) Giving greater customer choices and lower costs to stakeholders. It also could facilitate new business models such as virtual net metering. Traditional methods sometime fail in practice because they are not designed to take into account the uncertain nature of renewable energy generation, microgrid and load changes. Advancements in Building Management Systems (BMS) technologies make it possible to reside the proposed mechanisms within the BMS core in every household and enable consumers to benefit from a more efficient Demand Side Management (DSM) program implementation in an automated manner. This RP intends to detect, analyze, and transfer information over smart microgrid networks. The outcome of this RP allows the systems to intelligently and dynamically alter, reconfigure and enhance themselves as the input (generation) and outputs (loads) change. This RP, upon successful completion, will significantly affect energy market as both utility providers and consumers will benefit from a balanced consumption, efficient utilization of green sources of energy, real-time pricing and enhanced security. As the system will be placed within the BMS core of buildings, companies and businesses in the area of Building Automation and green energies will significantly benefit from the resulted market growth. Stakeholders of this RP are: A) private or publicly owned utilities, power producers,  or suppliers, B) independent system operators, C) regulatory authorities, D) independent project developers, E) technology and energy management system vendors, F) commercial or residential consumers (ratepayers), and finally, G) prosumers. Two (2) PhD, four (4) MASc and ten (10) undergraduate students will be trained in a gender neutral team with diverse ethnicity in leading-edge technology to help meet the growing demand for expertise in this area. The timeliness of this research is evidenced by recent massive job postings by multiple industries in the area of Blockchain technology.

本课题是针对电网分布式优化与管理的研究课题。RP的目标是设计和分析用于处理数据的分布式算法。其根源在于，通过分离、分散和定位决策机制，更接近负载和消费者，可以实现更快的响应时间，更好地利用和控制分布式能源（DERs）。这反过来又可以通过使用区块链等分布式账本来提高收集、传输和存储信息的安全性。区块链技术的结合允许使用智能合约进行实时和动态定价。它还可以促进新的商业模式，如虚拟净计量。传统方法有时会在实践中失败，因为它们没有考虑到可再生能源发电、微电网和负荷变化的不确定性。楼宇管理系统（BMS）技术的进步使得在每个家庭的BMS核心中驻留拟议的机制成为可能，并使消费者能够以自动化的方式从更有效的需求侧管理（DSM）计划实施中受益。该RP旨在通过智能微电网检测、分析和传输信息。这个RP的结果允许系统随着输入（生成）和输出（负载）的变化而智能地动态地改变、重新配置和增强自己。该RP一旦成功完成，将对能源市场产生重大影响，因为公用事业供应商和消费者都将从平衡的消费、绿色能源的有效利用、实时定价和增强的安全性中受益。由于该系统将被放置在建筑物的BMS核心，建筑自动化和绿色能源领域的公司和企业将从由此产生的市场增长中显著受益。此RP的利益相关者是：A)私有或公有的公用事业、电力生产商或供应商，B)独立的系统运营商，C)监管机构，D)独立的项目开发商，E)技术和能源管理系统供应商，F)商业或住宅消费者（纳税人），最后，G)生产消费者。两名博士、四名硕士和十名本科生将在一个性别中立、种族多元化的前沿技术团队中接受培训，以帮助满足该领域对专业知识日益增长的需求。最近区块链技术领域的多个行业发布的大量招聘信息证明了这项研究的及时性。