Survey on Complex Optimization and Simulation for the New Power Systems Paradigm
Survey on Complex Optimization and Simulation for the New Power Systems Paradigm
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DOI：
10.1155/2018/2340628
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发表时间：
2018-08
期刊：
影响因子：
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通讯作者：
J. Soares;T. Pinto;F. Lezama;H. Morais
中科院分区：
文献类型：
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作者：
J. Soares;T. Pinto;F. Lezama;H. Morais
本调查提供了一个全面的分析，在电力系统的新范式，其中包括所谓的智能电网的最新研究有关的优化和仿真。我们首先提供了一个概述，最近的研究与智能电网优化。从智能电网背景下出现的各种挑战，我们分析了能源资源管理问题的重要性，因为它被视为最复杂和最具挑战性的研究之一。该调查还提供了关于计算智能应用的讨论，重点是进化计算技术，以解决传统方法通常失败的复杂问题。本文的最后一部分是对电力市场和智能电网中大规模仿真应用的研究。该调查得出的结论是，分布式可再生能源发电，需求响应，电动汽车，甚至聚合器在电力市场中的整合研究仍然非常差。此外，适当的模型和工具来解决能源调度解决方案中的不确定性，对于处理电动汽车或可再生能源等新资源至关重要。计算智能可以提供比传统工具更大的优势来解决这些复杂的问题。此外，超级计算机或并行性打开了一个窗口，以完善这些新技术的应用。然而，这些技术和方法仍然需要成熟，才能成为电力系统领域的首选。总之，这项调查提供了一个完整的视角，对电力系统的演变和复杂性，以及先进的计算工具，如计算智能和模拟，同时激励新的研究途径，以弥补需要在未来几年解决的差距。
This survey provides a comprehensive analysis on recent research related to optimization and simulation in the new paradigm of power systems, which embraces the so-called smart grid. We start by providing an overview of the recent research related to smart grid optimization. From the variety of challenges that arise in a smart grid context, we analyze with a significance importance the energy resource management problem since it is seen as one of the most complex and challenging in recent research. The survey also provides a discussion on the application of computational intelligence, with a strong emphasis on evolutionary computation techniques, to solve complex problems where traditional approaches usually fail. The last part of this survey is devoted to research on large-scale simulation towards applications in electricity markets and smart grids. The survey concludes that the study of the integration of distributed renewable generation, demand response, electric vehicles, or even aggregators in the electricity market is still very poor. Besides, adequate models and tools to address uncertainty in energy scheduling solutions are crucial to deal with new resources such as electric vehicles or renewable generation. Computational intelligence can provide a significant advantage over traditional tools to address these complex problems. In addition, supercomputers or parallelism opens a window to refine the application of these new techniques. However, such technologies and approaches still need to mature to be the preferred choice in the power systems field. In summary, this survey provides a full perspective on the evolution and complexity of power systems as well as advanced computational tools, such as computational intelligence and simulation, while motivating new research avenues to cover gaps that need to be addressed in the coming years.