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Modeling and Optimization of the Smart Grid Ecosystem

机译：智能电网生态系统的建模与优化

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The smart energy grid has evolved into a complex ecosystem, with new entering actors such as aggregators, and traditional ones like consumers, operators and generators having fundamentally different, active roles in the system. In addition, advances in key technologies such as renewables, energy storage, communication and control have paved the way to new research directions and problems. In this work we attempt to give some structure to the complex ecosystem above, and we present key research problems that shape the area. The emphasis is on the control and optimization methodology toward approaching these problems. The first thread we consider is demand-response where the central theme is to optimize the demand load of consumers. The basic problem is the scheduling of demand load of consumers with the aim to minimize a cost function from the point of view of the utility operator or the consumer. Next, we review fundamental problems in energy storage management. The basic energy storage management problem amounts to deciding when and how much to charge and discharge the battery in order to achieve a certain optimization objective, either in terms of a generation cost or a mismatch between energy demand and supply, which again may capture the goals of the consumer or the utility. We also discuss the market interactions of various entities in the smart grid ecosystem and the impact of their strategic decisions on the market structure. Finally, we study key aspects of consumer behavior such as response to gamification models, and uncertainty due to consumer decisions that influence the system, and we discuss the role of data in building data-driven models for predicting consumer behavior. For each problem instance above, we provide an exposition that places emphasis on the related model and on key aspects of the analysis.
机译：智能能源网格已经演变成一个复杂的生态系统，其中包括聚合器等新进入的参与者，而消费者，运营商和发电商等传统参与者在系统中具有根本不同的主动角色。此外，可再生能源，能源存储，通信和控制等关键技术的进步为新的研究方向和问题铺平了道路。在这项工作中，我们尝试为上述复杂的生态系统提供一些结构，并提出影响该地区的关键研究问题。重点是解决这些问题的控制和优化方法。我们考虑的第一个线程是需求响应，其中心主题是优化消费者的需求负载。基本问题是调度消费者的需求负荷，目的是从公用事业运营商或消费者的角度来看，以最小化成本函数。接下来，我们回顾储能管理中的基本问题。基本的能量存储管理问题在于决定为实现某个优化目标而对电池进行充电的时间和数量，无论是发电成本还是能量需求与供应之间的不匹配，这又可能会抓住目标消费者或公用事业公司。我们还将讨论智能电网生态系统中各个实体的市场互动以及其战略决策对市场结构的影响。最后，我们研究了消费者行为的关键方面，例如对游戏化模型的响应以及由于消费者决策影响系统而导致的不确定性，并讨论了数据在构建数据驱动的模型以预测消费者行为方面的作用。对于上述每个问题实例，我们提供一个博览会，重点放在相关模型和分析的关键方面。

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