Model and algorithm of transmission congestion management basedon matchmaking tradeoff competition mechanism settlement

A new congestion management model based on high low settlement is proposed for the electricity market. The model combines the transaction mechanism and congestion management to eliminate congestion in branches with the minimum equivalent increase in the system regulating fee. The equality constrains are the branch overloads, the generator sensitivities, and the corresponding adjustments, respectively. By introducing the Lagrange multiplier and a relaxation factor, the nonlinear programming problem with constraints can be translated into an unconstrained nonlinear programming problem. The regulating values of the generators thus can be obtained. The proposed algorithm is verified by a 6 bus system.     

Development and application of continuouslyvariable transmission test facilities

Basic structure and speed control principles of rubber V belt continuously variable transmissions (CVT) are analyzed. A test bench on which the governing characteristics, carrying capacity, pulley diameters, and transmission efficiency of CVTs can be tested is developed. This test rig permits the measurement of speed, torque and axial displacements of moveable flanges. The experiment not only verifies the results of the theoretical analysis but also reveals the trend of governing characteristics and efficiency affected by the operating condition changes. These conditions include the speed ratio, rotational speed, and external load. Based on this investigation, a method for improving CVT efficiency is proposed. The feasibility of the test bench is demonstrated by the experiment, which has a guiding role for design and parameter matching of CVTs.     

Design and FPGA Implementation of animproved structure of digital matched filter

An improved structure of digital matched filter(DMF)is presented. Two same pseudorandom spread spectrum sequences with the length of N are used to spread the same baseband symbol at the transmitter, which is equal to spread the baseband symbol with a spread spectrum sequence with the length of 2N. At the receiver, only a spread spectrum sequence with the length of N is needed to de spread the data, and then cumulates the two correlation peaks and exports to the output. The detection probability(Pd)and the false alarm probability(Pf)are analyzed and simulated. The improved structure of DMF is implemented based on the recursive and folded principle. Experimental results show that, for the same spread gain, the improved structure has the same Pd and Pf as the basic DMF, while saves the hardware resources greatly compared with the recursive and folded structure.     

Design and Implementation of Chaos Encrytion Algorithm based on Logistic Formula

The security of stream cipher, which is known as one of the main cipher techniques, dependents completely on the quality of generated pseudo-stochastic sequences. Chaotic systems can produce the pseudo-stochastic sequences with the properties of excessive dependence on initial conditions and the difficulty in forecasting, therefore, these systems are suitable to the stream cipher. A new encryption algorithm is proposed by analyzing the principle of the chaos encryption algorithm based on logistic formula. Moreover, the security and performance of the proposed algorithm is also estimated. Finally, an example is given to demonstrate our method via the Visual C++.     

Optimal model on integrated production planning andscheduling of steelmaking and continuous casting process

Considering the uncertainty and complexity of production planning and scheduling in steel making and continuous casting, an optimal simulation model is built. Based on the analysis of the logistics in steelmaking process, the casting plan is regarded as the global goal, and the procedural information is taken into account, as well as the local evolution rule that abstracted from scheduling rule. To simulate transferring of materials in the process, the state of operation sites are updated as a result of the global goals, process information and local rule. The goal directed simulation is carried out based on the self organization evolution mechanism. Finally, an optimal integrated production plan is made by a continuous simulation evolution. A simulation case for eight hours production plan shows that the model is valid and efficient.     

Fuzzy decision for wastewater treatment process selectionbased on gray theory and its application

Decision making of sewage treatment process directly affects the accuracy and efficiency of the process selection. An optimized fuzzy decision method is proposed based on fuzzy decision and contrast weighting method. Moreover, a web based decision making support system for the selection of sewage treatment process is developed with the Apache+PHP+MySQL development environment. The system had realized the online decision making for sewage treatment process, and enhanced accuracy and reduced the decision making time.     

Intelligent control of the grinding and classificationsystem based on fuzzy RBF neural network

Based on RBF neural network and fuzzy theory, an intelligent control method, which can effectively overcome disturbance resulting from grinding efficiency and cyclone’s inlet pressure, is proposed. This method that can make grinding concentration and overflow particle size well proportioned will allow us to improve flotation grade and increase yield, and therefore realize the optimization of grinding and classification process. The present method is of simple analysis, less time of network learning and training. And high learning precision is high. The simulations show that our approach can also be applied to the control systems that are difficult to build accurate math model.     

A comparative study of eutrophication evaluationmodels based on SOM neural network and SVM

A SBR inoculated with conventional activated sludge was employed to cultivate aerobic granular sludge.Under the selective pressure of settling time, the formation of nitrifying granules enriched with the ammonia oxidizing bacteria (AOB) was achieved by increasing the nitrogen loading rate (NLR).The nitrifying granule was shaped like a sphere or a ellipsoid with an equivalent diameter of approximate 1.1 mm, an average settling velocity of 1.9 cm·s-1and the sludge volume index of 18.2～31.4 mL·g-1.As the aerobic granular system was operated stably, the NLR reached a value of 0.045 5 kgNH4+ N· (kg MLSS·d)-1 with ammonia removal efficiency above 95% and nitrite accumulation ratio in the range of 80%～90%.The NLR was 4.55 times higher than that of the start up period.The enrichment of the nitrifying bacteria was quantified by FISH analysis which indicated that AOB was 14.9% of the total bacteria and nitrite oxidizing bacteria (NOB) was 0.89%.It is concluded that the associated inhibition of FA at the start of the reaction and FNA at the end of the reaction would be the key factors to start up and maintain the stable nitritation.