A Framework to Optimize Pricing in a Smart Grid With Renewable Power Sources****

该项目旨在开发一个数学框架，以优化具有可再生能源的智能电网中的电力定价。考虑到智能电网发电的不确定性，以及用户端电力需求的变化，我们将制定一个最优的定价政策，在满足用户需求的前提下，最大限度地增加公用事业公司的收入。这一框架将基于先进的数学工具进行开发，将在MatLab中编程，该项目的交付成果将包括实施所开发的优化框架的一整套软件。项目的结果和交付成果将由该项目的行业合作伙伴初级工程和建筑公司(PRIMARY)使用，为其客户提供服务，如公用事业服务提供商(如BC Hydro)，以提供优化电价的指导方针。将通过该项目培养一名博士后研究员。预计通过该项目将与初级建立长期的研究关系，从经济学和控制的角度对智能电网领域进行进一步的研究。**********

The project aims to develop a mathematical framework to optimize the pricing of power in a smart power grid with renewable power sources. Taking into account the uncertainty of power generation in the smart grid as well as variation in power demand at the consumer side, we will develop an optimal pricing policy to maximize the revenue of the utility providers subject to the demand satisfaction of the consumers. This framework, which will be developed based on advanced mathematical tools, will be programmed in MATLAB and the deliverables of the project will include a complete software suite implementing the developed optimization framework. The results and deliverables of the project will be used by Primary Engineering and Construction (PRIMARY), the industry partner of this project, to serve its customers such as the utility service providers (e.g. BC Hydro) to provide guidelines on optimizing the power pricing. A Post-Doctoral Fellow will be trained through this project. A long-term research relationship with PRIMARY is expected to be established through this project for further research in the area of smart grid from economics and control point of view. **********