文泉分享会第三十三期:可再生能源与智能电网:未来能源集成商的买电策略探讨

发布者:朱汉彬发布时间:2018-09-25浏览次数:215

分享嘉宾:王田 博士
分享主题:Multi-Period Energy Procurement Policies for Smart-grid Communities with Deferrable Demand and Supplementary Uncertain Power Supplies
可再生能源与智能电网:未来能源集成商的买电策略探讨
主持嘉宾:陈瑞 副教授
摘  要:  We analyze a multi-period energy procurement problem for an energy aggregator, which is responsible for the centralized control of energy procurement and consumption in a community with smart grid installed. The aggregator can delay time-adjustable demand in the community through the smart grid if necessary. Furthermore, the aggregator can supply renewable energy as a supplementary power source to traditional electricity markets with pre-announced day-ahead real-time prices. To determine the optimal procurement amount, the aggregator needs to make tradeoffs between two types of power supplies, namely, traditional energy with variable prices versus free renewable energy with uncertain supplies. We solve the aggregator's problem using dynamic programming and show that the optimal procurement policy is to procure traditional energy only when the price is below a threshold, which depends on the statistics of the day-ahead real-time price, wind energy distribution and the time left until the end of horizon. Through numerical studies, we compare the optimal policy with two other commonly-used policies in the wind energy setting, procurement based on the estimated supplies of wind energy and procurement up to the arrived demand. The cost-savings of our optimal policy are remarkable if the day-ahead real-time price fluctuates considerably. We also examine the robustness of our optimal policy in the scenarios of using historical wind energy data.
  能源是国民经济和社会发展的重要物质基础。面对目前日益严峻的能源供应安全、环境污染、温室气体排放和气候恶性变化等问题的困扰,绿色、低碳、清洁化的可再生能源已经成为各国和地区的能源战略转型目标。但是,诸如风能和太阳能等可再生能源供给的不确定性给目前的电网系统提出挑战。智能电网是集成可再生能源和大电网的一种解决方案,能源集成商负责智能电网内部的所有能源管理。如何在可再生能源环境下和智能电网技术框架内解决能源集成商每周期的买电问题(买不买电?买多少电?),并通过买电决策权衡可再生能源的利与弊是达成可持续、高效和稳定电网系统的关键。本文探讨了这一问题并给出一定管理启示。
时  间:9月27日(周四)11:00-12:00
地  点:文泉北楼四楼会议室
参与方式:9月27日9:00之前通过微信/OA告知朱汉彬老师。欢迎各专业研究生参加。
  
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