To achieve dynamic behaviors of complex distribution system from multi-microgrid interactions, and to understand the evolution of system characters from autonomous microgrid behaviors, this project concentrates on building a multi-scale model of complex distribution system with coherent microscopic and macroscopic system description. The multi-scale model is intended for studying Self-Organized Criticality (SOC) of complex distribution system: by applying Renormalization Group (RG) method to obtain stepwise coarse-grained effective Hamiltonian, which is used as system energy function, and finally to get the resolution of critical states and critical exponents. The project contains preceding scientific meaning and practical significance, focusing on solving fundamental problems as following: (1) building equivalent model of microgrid with self-similarity; (2) multi-scale modeling of distribution system considering multi-microgrid interactions; (3) macroscopic equivalents from multi-scale model by Renormalization Group (RG) processing; (4) Self-Organized Criticality (SOC) of complex power distribution system. This project provides novel models and framework for analyzing complex power distribution system with multi-microgrid interactions, and the results of the project would provide reference toward understanding multi-microgrid system states and improving coordinated operation.
为了研究含群微网互动的配电网系统动态行为,掌握微网自治行为引起的系统特性变化,本项目立足于建立具有统一微观与宏观特性描述的配电网多粒度模型,并基于该模型研究复杂配电网自组织临界特性,通过重整化群理论方法来逐步粗粒化用于表征系统能量的有效哈密顿函数,并求解系统临界点与临界指数。项目具有理论前瞻性和实际指导意义,重点研究以下关键问题:(1)具有自相似结构特性的微网等效建模;(2)考虑群微网互动的配电网多粒度建模;(3)多粒度模型在重整化群变换下的宏观等效;(4)复杂配电网的自组织临界特性研究。本项目的研究对含群微网互动的复杂配电网提供了全新的模型解释及理论分析框架,研究成果将对群微网在系统中的运行状态评估及能量协调控制等问题提供参考。
为了研究含群微网互动的配电网系统动态行为,掌握微网自治行为引起的系统特性变化,本项目立足于建立具有统一微观与宏观特性描述的配电网多粒度模型,并基于该模型研究复杂配电网自组织临界特性,通过重整化群理论方法来逐步粗粒化用于表征系统能量的有效哈密顿函数,并求解系统临界点与临界指数。项目具有理论前瞻性和实际指导意义,重点研究以下关键问题:(1)具有自相似结构特性的微网等效建模;(2)考虑群微网互动的配电网多粒度建模;(3)多粒度模型在重整化群变换下的宏观等效;(4)复杂配电网的自组织临界特性研究。本项目的研究对含群微网互动的复杂配电网提供了全新的模型解释及理论分析框架,研究成果将对群微网在系统中的运行状态评估及能量协调控制等问题提供参考。
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数据更新时间:2023-05-31
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