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In this paper, a new method for reference network considering network topology optimization is proposed. The actual operation mode optimization and the correction control with transmission switching under the contingency situation are taken into account in the proposed method. Based on the forecasted load values of each period in predictive multi-time scale and candidate transmission line schemes...
With the diversified development of electrical loads, and the large-scale integration of volatile renewable generations, power system operation, control and planning face the challenge of increasing injection uncertainties. In this paper, a new method for reference network considering nodal injection uncertainties is proposed. The actual operation mode optimization and reserve configuration of power...
A reference network is topologically identical to the existing network in which the generators and loads are not changed while the transmission line capacity will be optimized. By applying a reference network, the optimal transmission capacities of each line could be identified, as it takes annual operational and transmission costs into consideration. A reference network provides a standard to evaluate...
This paper analyzes the characterization of energy consumption and contaminant emissions from a municipal solid waste (MSW) treatment system that comprises transfer station, landfill site, combustion plant, composting plant, dejecta treatment station, and an integrated MSW treatment plant. The consumed energy and energy medium materials were integrated under comprehensive energy consumption (CEC)...
Traditional marine induction motors or synchronous motors are often occupy a large space, severe vibration and noise and difficult to meet the requirements of high energy index under different load rates. This paper presents that permanent magnet synchronous generator (PMSG) is used as shaft motor to utilize the excess power of main engine effectively. Based on analytical analysis of cogging torque...
For the beyond 3G system with multiple heterogeneous RATs, the Radio Resource Management (RRM) considering multiple access network is most important for the service provisions. To guarantee the good user experience, the network selection should consider the QoS requirements of traffics and different access networks' situations to give the best choice for the users. Based on the proposed handover procedure,...
A method of chaotic optimization and immune algorithm is presented for service restoration after faults in distribution system in this paper, which might improve the probability for optimal solution, and have the characteristic of chaotic optimization and artificial immunity algorithm. In the proposed algorithm, chaotic optimization is used to initialize the antibody of immune algorithm firstly in...
Particle Swarm Optimization (PSO) is a new random computational method for tackling optimization functions. However, it is easily trapped into the local optimum when solving the complexity and high-dimensional problems, which makes the performance of PSO greatly reduced. To overcome this shortcoming, the paper proposes an Improved Particle Swarm Optimization (IPSO), by adding the third particle of...
Production line, taking on the most production task, is the important part in manufacturing enterprise. Under determinate resource, the running state of the production line has a great impact on the production capacity. This paper, aiming the aero-engine casing production line, makes a systematic study on production line simulation, builds the model of aero-engine casing production line, and makes...
In electric power market, the research of best bidding price is an important study, in which the calculation and description of node price is the key issue. Based on the highly effective ant colony algorithm, this paper proposes a methodology of best bidding for solving the optimal price model of the electric power market. We use the random global search capability of ant colony algorithm to deal...
The paper proposes the new model of the genetic algorithm and BP neural networks to predict the blood concentration of Cyclosporine. The BP model was optimized by genetic algorithm to overcome the slower convergence speed, and the best result was found in the particular condition with the strong search function of genetic algorithm. The prediction precision of average blood concentration of Cyclosporine...
Aiming at the risks of the real estate appraisal methods of subjectivity, easy handling high dimensional data, Projection Pursuit technique is proposed risk evaluation of real estate to reduce the dimension. And using the PSO algorithm to optimize the projection index function to establish the Projection Pursuit of Real Estate Risk Assessment Model witch is based on PSO. The model is high of objectivity...
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