Power Information Network Research Articles

Effects of gamma irradiation on color removal from reactive red 24 aqueous solutions

With the high rate of economical and social development, Ho Chi Minh City has been attaching immigrants to work, study and live. The immigrants have made the population increased that resulted in overloading infrastructure. The study has done in order to build a database on the status of housing and infrastructure in the concentrated immigrant areas in Ho Chi Minh City . Results of the survey of 1,000 immigrants in the concentrated immigrant areas in 5 Districts assigned throughout HCMC showed: (1) 92.6 % houses are rented, (2) 95.6 % immigrants are living in low quality houses, reach Vietnamese standard for housing at level 4, (3) 57.6% immigrants live in the area less than 6m2/person, (4) the condition of infrastructures (power supply, water supply, sewerage, garbage collection, toilets, information networks and roads) are deficiency, poor quality and high service prices.

Abnormal traffic-indexed state estimation: A cyber–physical fusion approach for Smart Grid attack detection

Integration with information network not only facilitates Smart Grid with many unprecedented features, but also introduces many new security issues, such as false data injection and system intrusion. One of the biggest challenges in Smart Grid attack detection is how to fuse the heterogeneous data from the power system and information network. In this paper, a novel cyber–physical fusion approach is proposed to detect a Smart Grid attack Bad Data Injection (BDI), by merging both the features of the traffic flow in information network and the inherent physical laws in the power system into a unified model, named as Abnormal Traffic-indexed State Estimation (ATSE). The cyber security incidents, monitored by intrusion detection system (IDS), are quantized to serve as the impact factors that are incorporated into the bad data detection system based on state estimation model in power grid. Hundreds of attack cases are simulated on each transmission line of three IEEE standard systems to compare ATSE with current cyber, physical abnormal detection methods and cyber–physical fusion method, including IDS (Snort), bad data detection algorithm (Chi-square test) and SCPSE. The results indicate that ATSE can improve the detection rate 20% than the Chi-square Test on average, filter most false alarms generated by Snort, and solve the observability problem of SCPSE.

Weakly explosive percolation in directed networks

Percolation, the formation of a macroscopic connected component, is a key feature in the description of complex networks. The dynamical properties of a variety of systems can be understood in terms of percolation, including the robustness of power grids and information networks, the spreading of epidemics and forest fires, and the stability of gene regulatory networks. Recent studies have shown that if network edges are added "competitively" in undirected networks, the onset of percolation is abrupt or "explosive." The unusual qualitative features of this phase transition have been the subject of much recent attention. Here we generalize this previously studied network growth process from undirected networks to directed networks and use finite-size scaling theory to find several scaling exponents. We find that this process is also characterized by a very rapid growth in the giant component, but that this growth is not as sudden as in undirected networks.

Security Evaluation of Power Network Information System Based on Analytic Network Process

After the building of the power network, many enterprises are faced with a potential information security issue, the unstable factors threaten to the normal operation of the network information system, which is caused by the computer network defects. Aiming at this point, potential security dangers of power network information system were analyzed. Then an index system based on the security evaluation of power network information systems was established. Applying the analytic network process to get the weights of each index, the evaluation process can be accessed by fuzzy comprehensive evaluation method. The weights of each index are decided by ANP, which can remedy the defects of analytic hierarchy process that the interaction among indexes cannot be reflected. Example analysis is performed by the Super Decisions software to verify feasibility and effectiveness of the proposed evaluation model mentioned in the paper.

A Model of Trusted Network for Electric Power Information Network

A Model of Trusted Network for Electric Power Information Network

Study on Classification of Information to Realize Grid Intelligent

The accsess of large numbers of new energy and the difference of application requirements make information more huge and complex, different application system and different grid link has also a different protocol standards,All these make the visual display of information, unified modeling for power grid automation become complicated and trival. This article according to analysis the power grid stability and control theory, from the power grid stability and controlling ,the needed information and IEC61968 / IEC61970 / IEC61850 and other international standards are analyzed, and propose a power network information classification method, and get a power information classification, accord with smart grid construction and new energy access requirements. It can effectively direct building of power automation control model, control information interaction. Provide foundation support for grid unified modeling and the method of unified describe model.

SPA Comprehensive Evaluation Model and its Application in the Risk Assessment of Electric Power Information Network

To enhance the electric power information network’s defensive capability for all kinds of security threats, this paper builds a risk assessment model for information network based on the Set Pair Analysis (SPA) comprehensive evaluation. On the basis of SPA theory, the information network’s index and the index of ISO/IEC27005 were formed as a set pair. The model introduced the improved AHP to determine the weight of each index, and extended the Spa’s three-Yuan connection degree to five-Yuan, which considered synthetically to the risk’s certain and uncertain factors. By calculating the connection degree, it can determine the risk value and level. Set pair situation was used to discuss the risk development trend. From practical calculation and the comparison with other assessment algorithm, the model appears simple and reasonable, and the calculation is objective and stable.

Practice Prize Paper—PIN Optimal Distribution of Auction Vehicles System: Applying Price Forecasting, Elasticity Estimation, and Genetic Algorithms to Used-Vehicle Distribution

In addition to retailing new vehicles, automotive manufacturers in the United States sell millions of vehicles through leasing and to fleet customers every year. The majority of these vehicles are returned to the automotive manufacturers at the end of the contracted term and must be “remarketed.” In 2007, about 10 million used vehicles were sold at more than 400 auctions in the United States. Large consigners face decisions every day about when, where, and at what price to offer these vehicles, which has significant financial implications for their profitability. To address the challenges of the distribution process, Power Information Network (PIN), a division of J.D. Power and Associates, developed the PIN Optimal Distribution of Auction Vehicles System (ODAV), an automated decision optimization system that helps remarketers maximize profits through the most advantageous distribution of their auction vehicles. At the core of the system is a combination of three models that determine the distribution of the vehicles on a daily basis: a nearest neighbor linear regression model for short-term auction price forecasting; an autoregressive integrated moving average time-series analysis model for volume-price elasticity; and a genetic algorithm optimizer for vehicle distribution. Since its launch in 2003, PIN has been providing ODAV services on a daily basis, and to date, more than two million vehicles have been distributed through this system. In this paper, we will describe the PIN ODAV System, its implementation, and the business impact by using as an example the experience with our largest client, Chrysler Group LLC.

Distribution Intensity and New Car Choice

The authors develop a new method to assess how changes in the intensity of mature distribution networks—specifically, those in the U.S. automotive industry—might affect consumer choice. They capture distribution intensity by car make (e.g., Honda, Toyota) at the disaggregate level using the exact geographic locations of individual buyers and new car dealers. They develop three buyer-centric measures for the intensity level of each competing make from this information: (1) dealer accessibility (the buyer's distance to the nearest outlet for each make), (2) dealer concentration (the extent to which multiple dealers for each make are located near a given buyer), and (3) dealer spread (the dispersion of the multiple dealers for each make relative to the buyer's location). The authors propose a logit choice model, estimated with Bayesian methods, to study the association of these measures with new car choices. They apply the model to buyer records in the midsize premium sedan category, drawn from an anonymous sample provided by the Power Information Network. All three buyer-centric measures of intensity were significantly related to new car choice. Buyers were more likely to select cars whose dealer networks had shorter distances to the closest outlet (accessibility), more dealers within a given radius from the buyer (concentration), and locations that skewed toward the buyer (spread). Based on the modeling results, the market share elasticity of distribution intensity averages approximately .6 across the new car models included in the study. The approach should help firms evaluate the potential effects of expanding or contracting distribution networks for mature products.

전력수용가포털을 위한 구내 통신 및 컴퓨터 네트워크 용량 설계

Consumer Portal is defined as combination of hardware and software that enables two-way communication between energy service provider(ESP, like KEPCO) and equipment within the consumer`s premises. The portal provides both a physical link(between wires, radio waves, and other media) and a logical link(translating among language-like codes and etiquette-like protocols) between in-building and wide-area access networks. Thus, the consumer portal is an important, open public shared infrastructure in the future vision of energy services. In this paper, we describe a new methodology for local communication and computer network capacity design of consumer portal, and also presents capacity calculation method using a network system limitation factors. By the approach, we can check into the limitations of existing methods, and propose an improved data processing algorithm that can expand the maximum number of the networked end-use devices up to times. For validation, we applies the proposed methode to our real system design. Our contribution will help electrical power information network design.