1,566 research outputs found
A Stochastic Game Framework for Efficient Energy Management in Microgrid Networks
We consider the problem of energy management in microgrid networks. A
microgrid is capable of generating a limited amount of energy from a renewable
resource and is responsible for handling the demands of its dedicated
customers. Owing to the variable nature of renewable generation and the demands
of the customers, it becomes imperative that each microgrid optimally manages
its energy. This involves intelligently scheduling the demands at the customer
side, selling (when there is a surplus) and buying (when there is a deficit)
the power from its neighboring microgrids depending on its current and future
needs. Typically, the transaction of power among the microgrids happens at a
pre-decided price by the central grid. In this work, we formulate the problems
of demand and battery scheduling, energy trading and dynamic pricing (where we
allow the microgrids to decide the price of the transaction depending on their
current configuration of demand and renewable energy) in the framework of
stochastic games. Subsequently, we propose a novel approach that makes use of
independent learners Deep Q-learning algorithm to solve this problem. Through
extensive empirical evaluation, we show that our proposed framework is more
beneficial to the majority of the microgrids and we provide a detailed analysis
of the results
Review of trends and targets of complex systems for power system optimization
Optimization systems (OSs) allow operators of electrical power systems (PS) to optimally operate PSs and to also create optimal PS development plans. The inclusion of OSs in the PS is a big trend nowadays, and the demand for PS optimization tools and PS-OSs experts is growing. The aim of this review is to define the current dynamics and trends in PS optimization research and to present several papers that clearly and comprehensively describe PS OSs with characteristics corresponding to the identified current main trends in this research area. The current dynamics and trends of the research area were defined on the basis of the results of an analysis of the database of 255 PS-OS-presenting papers published from December 2015 to July 2019. Eleven main characteristics of the current PS OSs were identified. The results of the statistical analyses give four characteristics of PS OSs which are currently the most frequently presented in research papers: OSs for minimizing the price of electricity/OSs reducing PS operation costs, OSs for optimizing the operation of renewable energy sources, OSs for regulating the power consumption during the optimization process, and OSs for regulating the energy storage systems operation during the optimization process. Finally, individual identified characteristics of the current PS OSs are briefly described. In the analysis, all PS OSs presented in the observed time period were analyzed regardless of the part of the PS for which the operation was optimized by the PS OS, the voltage level of the optimized PS part, or the optimization goal of the PS OS.Web of Science135art. no. 107
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