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Tao X.-M.,Harbin Engineering University | Liu F.-R.,Heilongjiang Electric Power Company | Liu Y.,Harbin Engineering University | Tong Z.-J.,Harbin Engineering University
Ruan Jian Xue Bao/Journal of Software | Year: 2012

To deal with the problem of premature convergence and low precision of the traditional particle swarm optimization algorithm, a particle swarm optimization (PSO) algorithm based on multi-scale cooperative mutation, is proposed, which is guaranteed to converge to the global optimal solution with probability one. The special multi-scale Gaussian mutation operators are introduced to make the particles explore the search space more efficiently. The large-scale mutation operators can be utilized to quickly locate the global optimal space during early evolution. The small-scale mutation operators, which are gradually reduced according to the change of the fitness value can implement the accuracy of the solution at the late evolution. The proposed method is applied to six typical complex function optimization problems, and the comparison of the performance of the proposed method with other PSO algorithms is experimented. The results show that the proposed method can effectively speed up the convergence and improve the stability. © 2012 ISCAS. Source

Liu C.,Hubei Engineering University | Zhang S.,Tsinghua University | Li X.,Hubei Engineering University | Yu Z.,China Electric Power Research Institute | Hua K.,Heilongjiang Electric Power Company
Dianwang Jishu/Power System Technology | Year: 2015

For the purpose of testing the performance of motors and power units, an efficient and practical system capable of the emulation of dynamical electric loads is needed. In this paper, a method for physical simulation of dynamical electric loads without flux linkage observation is presented. The paper describes the model and the dynamic equation of the control system, which is capable of emulating three kinds of mechanical load. By the method of maintaining a constant excitation and adjusting armature current of the DC machine, this paper gives the way to simulating different kinds of load. The control strategy is emulated by PSCAD, and the results show this system can precisely simulate the dynamical load of constant torque, constant power and fan-type. ©, 2015, Power System Technology Press. All right reserved. Source

Lu G.,Heilongjiang Electrical Power Research Institute | Guo J.-T.,Heilongjiang Electrical Power Research Institute | Sun F.-J.,Heilongjiang Electric Power Company | Yan X.-L.,China Electric Power Research Institute | Chen H.-L.,Heilongjiang Electrical Power Research Institute
Gaoya Dianqi/High Voltage Apparatus | Year: 2013

A 126 kV AC power frequency power supply, a GIS partial discharge testing platform, and a gas detection system are designed to simulate the fault state of discharge to ground. Subsequently, SF6 decomposed characteristic gas components induced by partial discharge are analyzed quantitatively, where the intensity of partial discharge is monitored with the pulse current method. The results show that: (1) The characteristic gas components from partial discharge-induced SF6 decomposition are SOF2, SO2, and S2OF10; (2) The volume fractions of SOF2 and SO2 exhibit positive correlation with duration and intensity of partial discharge; (3) Adsorbent imposes effect on measurement of SF6 decomposition products. Source

Wang L.,Kochi University of Technology | Watanabe T.,Kochi University of Technology | Xu Z.,Heilongjiang Electric Power Company
Energies | Year: 2015

In this study, the structures of external costs are built in line with coal-fired and biomass power plant life cycle activities in Northeast China. The external cost of coal-fired and biomass power plants was compared, using the lifecycle approach. In addition, the external costs of a biomass power plant are calculated for each stage for comparison with those of a coal-fired power plant. The results highlight that the external costs of a coal-fired plant are 0.072 US $/kWh, which are much higher than that of a biomass power plant, 0.00012 US$/kWh. The external cost of coal-fired power generation is as much as 90% of the current price of electricity generated by coal, while the external cost of a biomass power plant is 1/1000 of the current price of electricity generated by biomass. In addition, for a biomass power plant, the external cost associated with SO2, NOX, and PM2.5 are particularly lower than those of a coal-fired power plant. The prospect of establishing precise estimations for external cost mechanisms and sustainable energy policies is discussed to show a possible direction for future energy schemes in China. The paper has significant value for supporting the biomass power industry and taxing or regulating coal-fired power industry to optimize the energy structure in China. © 2015 by the authors. Source

Zhang H.W.,Heilongjiang Electric Power Company
Advanced Materials Research | Year: 2013

Monitoring system uses upper and lower machine model. The machine adopts the simple operation, reliable performance of PLC acquisition of main fan for each parameter and alarm control. In order to ensure that the fan monitoring system reliability and real time nature, based on the VC++ and SQL Server to develop a set of computer monitoring system. Monitoring software system and data acquisition and processing hardware system connected by a RS-485 bus system. Computer to other computers in a network or through the monitoring host forwarding see fan monitoring interface. © (2013) Trans Tech Publications, Switzerland. Source

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