用复杂系统方法构建无上下文依赖的智能电网模型，实现灵活可扩展的优化。
A Context-Free Smart Grid Model Using Complex System Approach
- 基于复杂系统理论，结合博弈论与经典方法分层优化
- 在保持通用性的同时提升优化的灵活性与可扩展性
- 适合研究智能电网全局优化的学者与工程师
能源与污染是21世纪的紧迫问题。通过逐步改造实际电力系统，智能电网可能演化为不同规模、元素和策略的系统，但其核心目标如生产、传输与消费的优化始终不变。通过建模与仿真研究智能电网，可获得因时间与成本限制在现实中无法获取的宝贵结果。由于智能电网的复杂性，实现全局优化并非易事。本文提出一种基于复杂系统的智能电网建模方法，强调通过在不同层级结合博弈论与经典方法实现优化。得益于这一组合，优化过程兼具灵活性与可扩展性，同时保持通用性。
原文摘要 · Abstract (English)
Energy and pollution are urging problems of the 21th century. By gradually changing the actual power grid system, smart grid may evolve into different systems by means of size, elements and strategies, but its fundamental requirements and objectives will not change such as optimizing production, transmission, and consumption. Studying the smart grid through modeling and simulation provides us with valuable results which cannot be obtained in real world due to time and cost related constraints. Moreover, due to the complexity of the smart grid, achieving global optimization is not an easy task. In this paper, we propose a complex system based approach to the smart grid modeling, accentuating on the optimization by combining game theoretical and classical methods in different levels. Thanks to this combination, the optimization can be achieved with flexibility and scalability, while keeping its generality.
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