Efficient and Robust Electricity Markets with Intermittent Renewable Generation and Smart Metering Infrastructure

本研究的目的是设计日常电力市场的效率，激励兼容性，鲁棒性和智能电网的考虑。该方法首先通过有效地利用混合整数问题的扩展最优性条件和引入新颖的？本地激励兼容？的概念。该理论将在均衡、激励相容、效率、收益平衡和实施实用性等几个有前景的拍卖模型上得到证实。然后将结果扩展到随机公式，以适应间歇性和不确定的可再生能源发电，并通过随机规划、拉格朗日松弛和随机动态规划的创新集成，有效利用基于市场需求响应的智能计量基础设施。其学术价值包括：以新的视角看待电力市场；基于数学、经济学和我们对市场的见解的最新结果的协同整合，在有前景的模型上证实结果；提出了求解随机拍卖问题的新方法。拟议的研究应具有更广泛的影响，使研究、开发和决策团体能够评估关键拍卖机制的优点，以实现绿色和强大的电力市场。它也将有助于其他具有类似特征的领域的拍卖理论和实践，例如天然气和供应链。最后，该研究将通过研究、课程、研讨会、在线材料、CD/DVD产品和康涅狄格大学？这是一个针对高中教师和辅导员的达芬奇项目。将积极寻求代表人数不足的群体的参与。

The objective of this research is to design daily electricity markets for efficiency, incentive compatibility, robustness, and smart grid considerations. The approach is to first establish economic foundations of electricity auctions through effective use of the extended optimality conditions for mixed-integer problems and the introduction of the novel ?local incentive compatibility? concept. The theory will be substantiated on a few promising auction models for equilibrium, incentive compatibility, efficiency, revenue balance, and practicality in implementation. The results will then be extended to stochastic formulations to accommodate intermittent and uncertain renewable generation, and to make effective use of smart metering infrastructure for market-based demand response through innovative integration of stochastic programming, Lagrangian relaxation, and stochastic dynamic programming. The intellectual merits include a new perspective to look at electricity markets; substantiate the results on promising models based on a synergistic integration of latest results from mathematics, economics, and our insights on markets; and the novel approach to formulate and solve stochastic auction problems. The proposed research shall have the broader impacts of enabling the research, development, and policy-making communities to assess the merits of key auction mechanisms to realize green and robust electricity markets. It will also contribute to auction theory and practice of other fields with similar characteristics, e.g., natural gas and supply chain. Finally, the research will educate graduate/undergraduate students and professionals through research, courses, seminars, online materials, CD/DVD offerings, and UConn?s da Vinci program for high school teachers and counselors. The participations of under-represented groups will be actively sought.