The Application Of The Complex Network Theory In Power Distribution And Capacity

The modern power system reflects the complexity and uncertainty in space-time, and the traditional reductionism hardly have a detailed analysis about the cause of power system blackouts. Based on holism and system theory, complex systems and complex networks provide a new perspective for the security analysis of power system. At present, based on complex network theory, vulnerability research in power system mainly focuses on how to identify the vulnerability of the components and links in system. The influences of fragile components to power system blackouts have been discussed, which is identified by importance ranking. After vulnerable components being identified, how to reduce the vulnerability of fragile component and the risk of system failure.How to apply the theoretical results of complex system to power grids reconstruction and enhance the robustness of the power grid. How to guide the power planning is a direction to be explored.Based on complex network theory, the newly additional power supply position and capacity problems have been explored:the position of additional power is determined by node power supply efficiency index and the capacity of additional power is considered from two angles:the risk and economy. The main important work of this paper is as follows:Firstly, the background of complex network theory and current research status of power planning have been introduced. It is necessary and feasible for the vulnerability research of the complex network in power system to direct power planning. Gini coefficient index and unit power generation economy index are proposed to evaluate power supply plan from risk and economy aspects.Secondly, the node power supply efficiency index is put forward to determine optimum positions of new power supply based on actual power flow between source-load nodes,and influence of new power supply position node number to the average outage scale of power system is discussed in the paper, the node power supply efficiency index is put forward to determine optimum positions of new power supply based on actual power flow between source-load nodes,and influence of new power supply position node number to the average outage scale of power system is discussed in the paper.Finally, the specific capacity of new node power supply is obtained by particle swarm algorithm, using the Gini coefficient and the unit generating economy index as fitness function.The model considers the capacity of power planning from two aspects of economy and risk, and the planning scheme will achieve a better balance between these two aspects by Gene coefficient margin. The effects of different Gene coefficient margin on power planning scheme is demonstrated by IEEE39 node system.