According to the characteristics of distribution systems, this paper proposes a real-time algorithm for solving the optimal control strategies of reactive power and voltage in distribution systems. Under the condition...
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According to the characteristics of distribution systems, this paper proposes a real-time algorithm for solving the optimal control strategies of reactive power and voltage in distribution systems. Under the conditions of bus voltage, branch reactive power used as controlled variables and the setting of the Tap Changing Under Load Transformers, reactive power compensation used as control variables, the strategies are gotten by using Linear Programming in accordance with the requirements of real-time control. There are several different objective functions in the paper. That is: (1).minimum real power losses; (2) minimum reactive power compensation; (3).maximum control gain. The objective functions mentioned above can be choosed in the light of specific circumstance. The paper can follow the sample date in the real-time control, simultaneously, identify the reactive power-voltage static characteristic on load bus, and consider its influence upon the optimal control strategies. The proposed technique has been tested on the IEEE 5-bus, 6-bus, modified 30-bus and Jiaxing distribution system(41-bus) in China, on the personal conputer. The optimal control strategies for different objective function mentioned above are obtained rapidly.
This paper proposes a racket control method for returning a table tennis ball to a reference position with a desired translational/rotational velocity. The method determines the racket's state, i.e., the racket...
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ISBN:
(纸本)9781467322478
This paper proposes a racket control method for returning a table tennis ball to a reference position with a desired translational/rotational velocity. The method determines the racket's state, i.e., the racket's striking posture and translational velocity by using two physical models: racket rebound model and aerodynamics model. The paper makes clear what the racket can control among the reference position, translational and rotational velocities. The algorithm of determining the racket's state is derived by solving nonlinear equations and solving two points problems of differential equation. Two approximate aerodynamic models are proposed for real-time treatments. Then numerical simulations show effectiveness of the proposed methods.
Taking full advantage of limited number of trains to obtain the best transport efficiency is the foremost question in Urban Rail Transit(URT) *** paper analyzes the deficiencies in current theory of URT train running ...
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Taking full advantage of limited number of trains to obtain the best transport efficiency is the foremost question in Urban Rail Transit(URT) *** paper analyzes the deficiencies in current theory of URT train running program,and then puts forward its objective:comparing and optimizing the operating projects according to average passenger waiting time and total ***,the paper establishes a platform-trainpassengers interchange model,set up corresponding real-time arith metic for average waiting time and total train ***,this article advances a double-target optim m model for URT train running program,and then figure out the optimum solution by using artificial intelligence ***,an example is given to validate the optimum method.
Taking full advantage of limited number of trains to obtain the best transport efficiency is the foremost question in Urban Rail Transit (URT) operation. The paper analyzes the deficiencies in current theory of URT tr...
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Taking full advantage of limited number of trains to obtain the best transport efficiency is the foremost question in Urban Rail Transit (URT) operation. The paper analyzes the deficiencies in current theory of URT train running program, and then puts forward its objective: comparing and optimizing the operating projects according to average passenger waiting time and total trainload. Firstly, the paper establishes a platform-trainpassengers interchange model, set up corresponding real-time arithmetic for average waiting time and total trainload. Secondly, this article advances a double-target optimum model for URT train running program, and then figure out the optimum solution by using artificial intelligence technique. Finally, an example is given to validate the optimum method.
In this paper,we consider a microgrid scenario that consists of electric vehicles(EVs),aggregator,renewable energy generation,combined heat and power(CHP)generation,power grid,and thermal energy storage *** aggregator...
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In this paper,we consider a microgrid scenario that consists of electric vehicles(EVs),aggregator,renewable energy generation,combined heat and power(CHP)generation,power grid,and thermal energy storage *** aggregator operates power grid,CHP generation and EVs to provide energy balancing service between supply and *** aim to use EVs and water tank as energy storage devices to minimize the time-average system cost by jointly considering the uncertainty of real-time electricity price,renewable energy generation,demands,*** propose an real-time energy allocation algorithm by employing the Lyapunov optimization technique,which does not need any statistical information about the system *** demonstrate that our proposed algorithm accommodates a wide spectrum of vital system characteristics,including the self charging/discharging of EV,limited battery size of EV,battery degradation cost of *** the cost of purchasing electncity from power grid and using natural *** further compare our proposed algorithm with two alternatives through simulation and demonstrate its performance is better.
A new concept earthquake sensor was developed utilizing spectral intensity ( SI ) as a measurement value. The acceleration sensing part and signal conditioning part are all integrated in one body as a transducer. A re...
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A new concept earthquake sensor was developed utilizing spectral intensity ( SI ) as a measurement value. The acceleration sensing part and signal conditioning part are all integrated in one body as a transducer. A real-time SI calculation algorithm was newly developed and proved by actual simulated earthquake waveforms with a three-axis exciter bench. A liquefaction judgment algorithm was also developed based on acceleration signals and integrated into the SI sensor. Thus, the first all-in-one SI sensor with liquefaction judgment was realized. With this sensor, a new earthquake disaster prevention system for gas supply, Supreme, was developed and introduced into operation around the area of Tokyo Bay, Japan. First online publication: April 8, 2002.
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