Security Of Power Grid Research Articles

Implementation of Automation Determination of Training Score for Dispatcher Training Simulator

Based on analyses of several evaluation schemes, difficulty coefficient subtraction method was presented. An automation determination of training score method used in DTS was given, and the implementation process was introduced in details. Furthermore, marking for trainees’ training was carried out on four aspects of dispatching operation, power supply reliability, grid security, and economy of power network operation. According to the difficulty level of teaching plan, the difficulty coefficient was determined, the relevant calculation method of trainees' training score was proposed, and the weighted score and evaluation report were presented finally. Its practical applications indicate that the marking method of trainees’ training score is reasonable, able to reflect the practice of dispatchers' operation, and easy to realize generalization, extension and maintenance through the separation between program and standard of evaluation score.

Study on Micro-Grid Operating Mode Based on Game Theory

By describing the characteristics and the prospects of commercial application of current micro-grid, this paper analyzed the possible investors, operation subject and main users of micro-grid, and built the corresponding operating modes on this basis. Furthermore, based on the existing national policies and power grid management policies, this paper conducted an analysis of the feasibility and reliability of every operating mode and worked out several operating modes which are in line with regulations of our country and at the same time ensure the security of power grid.

Research on Power Grid Reasoning Expert System Based on Ontology

Power Grid reasoning expert system is a complex system. To solve knowledge sharing of knowledge Base in expert system, we abstract and analyze the power grid security investigation procedure by using ontology Technology. With ontology-based Power Grid knowledge base, we establish associated relationship of procedure vocabularies. In this paper, we introduce and analyze of semantic reasoning tools such as Jena. The reasoner mechanism and inference rules of grammar has been included and explained. At last we give a specific application of security investigation procedure ontology and reasoning.

Feasibility Analysis of Tripping in Small Current Grounding System

With the development of integrated automation systems and distribution automation technology, considering the safety of grid equipment, the voltage security of low-voltage power grid, personal safety and the characteristics of small current grounding system , this paper points out that still follow the old rules that run 0.5-2 hours allowed in dealing with ground fault of small current grounding system is unreasonable, elaborates the new philosophy that the protection function of small current grounding should be distributed to the feeder protection device and implemented tripping. Theoretical analysis shows that the scheme is accurate, reliable, and highly practical.

A case study on a hybrid wind speed forecasting method using BP neural network

Wind energy, which is intermittent by nature, can have a significant impact on power grid security, power system operation, and market economics, especially in areas with a high level of wind power penetration. Wind speed forecasting has been a vital part of wind farm planning and the operational planning of power grids with the aim of reducing greenhouse gas emissions. Improving the accuracy of wind speed forecasting algorithms has significant technological and economic impacts on these activities, and significant research efforts have addressed this aim recently. However, there is no single best forecasting algorithm that can be applied to any wind farm due to the fact that wind speed patterns can be very different between wind farms and are usually influenced by many factors that are location-specific and difficult to control. In this paper, we propose a new hybrid wind speed forecasting method based on a back-propagation (BP) neural network and the idea of eliminating seasonal effects from actual wind speed datasets using seasonal exponential adjustment. This method can forecast the daily average wind speed one year ahead with lower mean absolute errors compared to figures obtained without adjustment, as demonstrated by a case study conducted using a wind speed dataset collected from the Minqin area in China from 2001 to 2006.

Optimization of Trust System Placement for Power Grid Security and Compartmentalization

This article proposes a robust mathematical method to strategically place trust nodes to compartmentalize a time-critical SCADA network. The trust nodes combine firewall and intrusion detection technology to provide communication network security for protection, control, and SCADA systems. The mathematical technique optimizes the placement of the trust nodes based on the timing requirements of existing systems and the number of trust nodes that are available in the system given constraints, which may arise due to budgetary limitations or the restrictions of existing utility hardware. The intent is to create a planning tool to allow utility system operators to determine the best locations to place trust nodes to increase system security given limited resources and/or hardware constraints. The operational requirements of the environment are translated into a mathematical model. Mixed integer linear programming is used to process this model in search of an optimal solution. Because the problem is provably NP-Hard, a heuristic is also given to quickly find good, but not optimal, solutions. Experiments show promise for the proposed techniques.