With the coordinated development of today's social economy with science and technology,various advanced technologies are being used in highway engineering,especially the distributed intelligent power supply techno...With the coordinated development of today's social economy with science and technology,various advanced technologies are being used in highway engineering,especially the distributed intelligent power supply technology in expressway tunnels,which has a very significant advantage.In order to realize the effective application of this technology and promote the power supply effect in expressway tunnel,this study analyzes the advantages of this technology and its application in expressway tunnel,hoping to provide scientific reference for the application of distributed intelligent power supply technology and the engineering development of expressway tunnels.展开更多
The economy of distribution networks largely depends on the utilization rate of distribution network equipment.Most of the emerging intelligent power consumption technologies have a positive effect on equipment utiliz...The economy of distribution networks largely depends on the utilization rate of distribution network equipment.Most of the emerging intelligent power consumption technologies have a positive effect on equipment utilization and their use can save investment of distribution networks.In this paper,the influence of intelligent power consumption technologies on the utilization rate of distribution network equipment is reviewed.The evaluation methods and indexes are assessed first and then intelligent power consumption equipment with energy storage function,vehicle-to-grid(V2G)technology and time-of-use(TOU)tariff are reviewed respectively.It is concluded that these intelligent power consumption technologies and measures have great potential to improve utilization rate of distribution network equipment because of their effective improvement to power load.Meanwhile,recommendations on how to utilize these intelligent power consumption technologies to improve utilization rate of distribution network equipment are proposed.展开更多
In order to accurately forecast the load of power system and enhance the stability of the power network, a novel unascertained mathematics based recurrent neural network (UMRNN) for power intelligence center (PIC) was...In order to accurately forecast the load of power system and enhance the stability of the power network, a novel unascertained mathematics based recurrent neural network (UMRNN) for power intelligence center (PIC) was created through three steps. First, by combining with the general project uncertain element transmission theory (GPUET), the basic definitions of stochastic, fuzzy, and grey uncertain elements were given based on the principal types of uncertain information. Second, a power dynamic alliance including four sectors: generation sector, transmission sector, distribution sector and customers was established. The key factors were amended according to the four transmission topologies of uncertain elements, thus the new factors entered the power intelligence center as the input elements. Finally, in the intelligence handing background of PIC, by performing uncertain and recursive process to the input values of network, and combining unascertained mathematics, the novel load forecasting model was built. Three different approaches were put forward to forecast an eastern regional power grid load in China. The root mean square error (ERMS) demonstrates that the forecasting accuracy of the proposed model UMRNN is 3% higher than that of BP neural network (BPNN), and 5% higher than that of autoregressive integrated moving average (ARIMA). Besides, an example also shows that the average relative error of the first quarter of 2008 forecasted by UMRNN is only 2.59%, which has high precision.展开更多
In order to resolve the coordination and optimization of the power network planning effectively, on the basis of introducing the concept of power intelligence center (PIC), the key factor power flow, line investment a...In order to resolve the coordination and optimization of the power network planning effectively, on the basis of introducing the concept of power intelligence center (PIC), the key factor power flow, line investment and load that impact generation sector, transmission sector and dispatching center in PIC were analyzed and a multi-objective coordination optimal model for new power intelligence center (NPIC) was established. To ensure the reliability and coordination of power grid and reduce investment cost, two aspects were optimized. The evolutionary algorithm was introduced to solve optimal power flow problem and the fitness function was improved to ensure the minimum cost of power generation. The gray particle swarm optimization (GPSO) algorithm was used to forecast load accurately, which can ensure the network with high reliability. On this basis, the multi-objective coordination optimal model which was more practical and in line with the need of the electricity market was proposed, then the coordination model was effectively solved through the improved particle swarm optimization algorithm, and the corresponding algorithm was obtained. The optimization of IEEE30 node system shows that the evolutionary algorithm can effectively solve the problem of optimal power flow. The average load forecasting of GPSO is 26.97 MW, which has an error of 0.34 MW compared with the actual load. The algorithm has higher forecasting accuracy. The multi-objective coordination optimal model for NPIC can effectively process the coordination and optimization problem of power network.展开更多
不间断电源(Uninterruptible Power Supply,UPS)是广播电视发射台进行信号传输的关键部分,也是广播电视发射台的重要组成部分。UPS可以保证广播电视发射台不间断供电,保障电视节目顺利播出。广播电视发射台应高度重视UPS的管理维修工作...不间断电源(Uninterruptible Power Supply,UPS)是广播电视发射台进行信号传输的关键部分,也是广播电视发射台的重要组成部分。UPS可以保证广播电视发射台不间断供电,保障电视节目顺利播出。广播电视发射台应高度重视UPS的管理维修工作,加强对智能UPS的研究,充分发挥智能UPS在广播电视发射台中的应用价值。从UPS的相关概述入手,分析UPS系统设计,针对智能UPS在广播电视发射台中应用时存在的常见问题提出针对性的解决策略。展开更多
文摘With the coordinated development of today's social economy with science and technology,various advanced technologies are being used in highway engineering,especially the distributed intelligent power supply technology in expressway tunnels,which has a very significant advantage.In order to realize the effective application of this technology and promote the power supply effect in expressway tunnel,this study analyzes the advantages of this technology and its application in expressway tunnel,hoping to provide scientific reference for the application of distributed intelligent power supply technology and the engineering development of expressway tunnels.
基金This work is supported by State Grid Corporation of China(5216A018000M).
文摘The economy of distribution networks largely depends on the utilization rate of distribution network equipment.Most of the emerging intelligent power consumption technologies have a positive effect on equipment utilization and their use can save investment of distribution networks.In this paper,the influence of intelligent power consumption technologies on the utilization rate of distribution network equipment is reviewed.The evaluation methods and indexes are assessed first and then intelligent power consumption equipment with energy storage function,vehicle-to-grid(V2G)technology and time-of-use(TOU)tariff are reviewed respectively.It is concluded that these intelligent power consumption technologies and measures have great potential to improve utilization rate of distribution network equipment because of their effective improvement to power load.Meanwhile,recommendations on how to utilize these intelligent power consumption technologies to improve utilization rate of distribution network equipment are proposed.
基金Projects(70572090, 70373017) supported by the National Natural Science Foundation of China
文摘In order to accurately forecast the load of power system and enhance the stability of the power network, a novel unascertained mathematics based recurrent neural network (UMRNN) for power intelligence center (PIC) was created through three steps. First, by combining with the general project uncertain element transmission theory (GPUET), the basic definitions of stochastic, fuzzy, and grey uncertain elements were given based on the principal types of uncertain information. Second, a power dynamic alliance including four sectors: generation sector, transmission sector, distribution sector and customers was established. The key factors were amended according to the four transmission topologies of uncertain elements, thus the new factors entered the power intelligence center as the input elements. Finally, in the intelligence handing background of PIC, by performing uncertain and recursive process to the input values of network, and combining unascertained mathematics, the novel load forecasting model was built. Three different approaches were put forward to forecast an eastern regional power grid load in China. The root mean square error (ERMS) demonstrates that the forecasting accuracy of the proposed model UMRNN is 3% higher than that of BP neural network (BPNN), and 5% higher than that of autoregressive integrated moving average (ARIMA). Besides, an example also shows that the average relative error of the first quarter of 2008 forecasted by UMRNN is only 2.59%, which has high precision.
基金Project (70671039) supported by the National Natural Science Foundation of China
文摘In order to resolve the coordination and optimization of the power network planning effectively, on the basis of introducing the concept of power intelligence center (PIC), the key factor power flow, line investment and load that impact generation sector, transmission sector and dispatching center in PIC were analyzed and a multi-objective coordination optimal model for new power intelligence center (NPIC) was established. To ensure the reliability and coordination of power grid and reduce investment cost, two aspects were optimized. The evolutionary algorithm was introduced to solve optimal power flow problem and the fitness function was improved to ensure the minimum cost of power generation. The gray particle swarm optimization (GPSO) algorithm was used to forecast load accurately, which can ensure the network with high reliability. On this basis, the multi-objective coordination optimal model which was more practical and in line with the need of the electricity market was proposed, then the coordination model was effectively solved through the improved particle swarm optimization algorithm, and the corresponding algorithm was obtained. The optimization of IEEE30 node system shows that the evolutionary algorithm can effectively solve the problem of optimal power flow. The average load forecasting of GPSO is 26.97 MW, which has an error of 0.34 MW compared with the actual load. The algorithm has higher forecasting accuracy. The multi-objective coordination optimal model for NPIC can effectively process the coordination and optimization problem of power network.
文摘不间断电源(Uninterruptible Power Supply,UPS)是广播电视发射台进行信号传输的关键部分,也是广播电视发射台的重要组成部分。UPS可以保证广播电视发射台不间断供电,保障电视节目顺利播出。广播电视发射台应高度重视UPS的管理维修工作,加强对智能UPS的研究,充分发挥智能UPS在广播电视发射台中的应用价值。从UPS的相关概述入手,分析UPS系统设计,针对智能UPS在广播电视发射台中应用时存在的常见问题提出针对性的解决策略。