Application Research of Off-grid Home Photovoltaic Power System in Shaanxi Northern Region

Because working performance of off-grid home photovoltaic power system is influenced by factors of solar radiation, ambient temperature and installation angle, this research established power supply model, analyzed working performance and optimized system configuration, by referencing weather conditions of Yulin and Yan’an and those factors. Results showed that under given solar radiation and ambient temperature, difference of installation angle can cause 30% to 40% difference of performance. In order to meet power demand, installation angles of Yulin and Yan'an were selected as 40 degree and 30 degree, and annual output power were 1.44 kWh/Wp and 1.32 kWh/Wp. Based on those results, the configuration of Yulin and Yan'an was 150 Wp and 170 Wp, and annual output power was 172.70 kWh and 179.66 kWh. Systems optimized above can meet the mid-scale demand in Shaanxi northern region and build theoretical foundation of application.

The Comprehensive Evaluation Algorithm with Fault Location in HVDC Transmission Line

China has a vast territory with a great demand for electricity. However, the resources are in reverse distribution in the country. Therefore, high voltage direct current transmission has great practical significance and been widely used. However, traditional fault location methods have a lot of problems in engineering application for the length of transmission line and the complexity of the terrain. This paper proposes a comprehensive evaluation algorithm based on the travelling wave method and time domain method. It also proposes a concept of fault point reliability. This algorithm analyzes the fault point reliability in the whole transmission line to determine the specific location of the fault point. This paper proves that the algorithm has high reliability by PSCAD simulation software.

A Flying Spots Detection and Recovery Scheme Based on Hybrid-Waveform Recognition Method

Flying plots detection has been the focus of relay protection in power system for a long time. With the promotion of Smart substation in our country, the number of SV devices is greatly increased. Abnormal data (flying plot) caused by sampling device itself has brought tremendous pressure to the power system. The traditional flying plot detection algorithm has plenty of defects, such as low pertinence, low sensitivity and long sampling period. This paper proposes a new algorithm to identify flying plot by analyzing the wave form characteristics of sampling data. The traditional waveform recognition methods are combined in this algorithm. It has the concept of standard wave window and can distinguish flying plot in a short time. In addition, sine recovery algorithm is used to recover the flying plot. This paper uses PSCAD software to verify the validity of this algorithm. Simulation results show that the proposed method has high reliability.

Flow latency analysis of component-based embedded software:Model and methodology

A wide variety of ways to analyze the end-to-end latency emerges due to the feature of component-based software.The researchers began to see that the latency is more sensitive to the data and control flows than the software architecture.However,for an embedded software,the latency depends upon the hardware heavily.To illuminate the feature clearly,we extend the atomic model of component-based software first.A way to specify the flows involved is further developed to identify the end-to-end latency.What is more,a novel methodology that bridges the gap between a constraint on latency and an execution platform is proposed for the embedded software.By constructing a hierarchical architecture,it is available to consider the methodology as a decision problem where the satisfiability module theory(SMT)can be applied.Experimental results demonstrate how the latency analysis conducts with the proposed model and methodology for the complex software architecture.