Optimization Method of Subway Timetables for Regenerative Braking Energy Utilization

2021 ◽  
Vol 147 (5) ◽  
pp. 04021020
Author(s):  
Shunyao Yang ◽  
Xubin Sun ◽  
Wei Zhang
Keyword(s):  
Optimization Method ◽  
Energy Utilization ◽  
Regenerative Braking

scholarly journals A scheduling and control integration optimization method for regenerative braking energy utilization

2021 ◽  
Vol 336 ◽  
pp. 02018
Author(s):  
Shunyao Yang ◽  
Xubin Sun
Keyword(s):  
Energy Saving ◽  
Real Data ◽  
Optimization Method ◽  
Energy Utilization ◽  
Regenerative Braking ◽  
Random Disturbance ◽  
The Real ◽  
Scheduling Optimization Algorithm ◽  
And Control ◽  
Control Integration

The utilization of regenerative braking energy is of great significance to the energy saving of subway. Therefore, this paper proposes an optimization method for scheduling and control integration, which not only adjusts the timetable but also optimizes the speed curves of trains. When there is a train braking, this method will try to find a train that accelerates to absorb the regenerative energy generated by the braking train. Firstly, this paper establishes the timetable energy saving optimization model, based on which the speed curves will be optimized. Furthermore, we design a scheduling optimization algorithm based on genetic algorithm, and optimizes speed curves of trains by binary search method to obtain a good solution. Finally, simulations are given using the real data of Beijing Metro Line 4 to evaluate the proposed method, and the results show that the integrated scheduling and control optimization method can reduce energy consumption by 15.18%. In the random disturbance simulations, the proposed method shows good robustness, which makes it possible to apply this method to the real subway operations.

Loss Minimization in Active Distribution Network

2020 ◽  
pp. 119-135 ◽  
Author(s):  
Bawoke Simachew
Keyword(s):  
Power Loss ◽  
Reactive Power ◽  
Electrical Power ◽  
Distribution Network ◽  
Optimization Method ◽  
Energy Utilization ◽  
Optimal Size ◽  
Loss Reduction ◽  
Voltage Profile ◽  
Power Sources

Power loss reduction is an important problem that needs to be addressed with respect to generating electrical power. It is important to reduce power loss using locally generated power sources and/or compensations. This chapter brings a method of presents a method of maximizing energy utilization, feeder loss reduction, and voltage profile improvement for radial distribution network using the active and reactive power sources. Distributed Generation (DG) (wind and solar with backup by biomass generation) and shunt capacitor (QG) for reactive power demand are used. Integrating DG and QG at each bus might reduce the loss but it is economically unaffordable, especially for developing countries. Therefore, the utilization optimization method is required for finding an optimal size and location to feeders for placing QG and DG to minimize feeder loss.

Study on Grid-Injected System with Regenerative Braking Energy for Subway

2012 ◽  
Vol 516-517 ◽  
pp. 1437-1442
Author(s):  
Qiu Rui Zhang ◽  
Bao Ming Ge ◽  
Da Qiang Bi
Keyword(s):  
Temperature Rise ◽  
Control Strategy ◽  
Control Method ◽  
Design Procedure ◽  
Energy Utilization ◽  
Regenerative Braking ◽  
Resistance Heating ◽  
Urban Rail ◽  
Bus Voltage ◽  
The Stability

At present, the rate of energy utilization is low for the transit regenerative braking on urban rail; most of the energy is consumed by the resistance heating. In this paper, a regenerative braking energy injected-grid device is designed, which makes use of regenerative braking energy and effectively reduce the temperature rise caused by the resistance in the tunnel. The paper describes the composition and the design procedure of regenerative braking energy injected-grid device and presents a control strategy of device. The simulation of the single train model verifies that the stability of DC-bus voltage can be maintained and more power can be feedback to the grid by the proposed device when the train is braking. The feasibility and effectiveness of the proposed control method are validated by the experimental results.

scholarly journals Optimization of Energetic Train Cooperation

Symmetry ◽  
2019 ◽  
Vol 11 (9) ◽  
pp. 1175 ◽  
Author(s):  
Urbaniak ◽  
Kardas-Cinal ◽  
Jacyna
Keyword(s):  
Firefly Algorithm ◽  
Arrival Time ◽  
Optimization Method ◽  
Original Model ◽  
Regenerative Braking ◽  
Conservation Of Energy ◽  
Energy Cooperation ◽  
Railway Line ◽  
Double Track ◽  
Time Reserve

In the article, possible ways of using energy recovered during regenerative braking of trains are presented. It is pointed out that the return of recovered electricity directly to the catenary and its use in the energy cooperation of vehicles can be a no-cost method (without additional infrastructure). The method of energy cooperation between trains and its main assumptions, that uses the law of conservation of energy, are described in detail. An original model is proposed which assumes optimization by controlling the train arrival time at the station within the technical time reserve. Optimization method was used metaheuristic and adapted swarm algorithm called the firefly algorithm. An exemplary simulation of the energy cooperation of trains for selected stops of a double-track railway line of the Tricity Rapid Urban Railway has been done and the obtained results are presented. Finally, in discussion and conclusions, the results were summarized and the significance of the development of the discussed method for transport rationalization was presented.

Optimization Method of Man-Machine Operating for Multi-Variety and Small Batch Production

2012 ◽  
Vol 591-593 ◽  
pp. 493-497
Author(s):  
Wei Zeng Chen
Keyword(s):  
Optimization Method ◽  
Processing Parameters ◽  
Energy Utilization ◽  
Production Model ◽  
Test Results ◽  
Batch Production ◽  
Mixed Flow ◽  
Design Program ◽  
Machine Calculation ◽  
Species Production

According to the characteristics of the multi-variety and small batch production units, the traditional man-machine operating analysis methods can not meet the needs of the optimized manufacturing process. In order to maximize the utilization of man-machine resource, a man-machine combination and mixed flow processing method is proposed in this paper. It involved several integrated application methods. The man-machine operating analysis method can optimized the process of the man-machine operating, and also can acquired the important parameters of the man-machine operating in each species production processing, The integration of gather form, histogram and single people-multi-machine calculation formula made the various products processing parameters analysis and the remaining energy utilization easily. By using this method, the optimized plan of the man-machine combined in various products processing can be determined. The characteristics of the proposed method are that it extends the design program of man-machine combination and mixed flow processing. The test results show that the new method works well in the multi-variety and small batch production model.

scholarly journals Researchon Regenerative and Dynamic Braking Performance in Motor Application

2019 ◽  
Vol 8 (6S4) ◽  
pp. 427-430
Keyword(s):  
Electric Vehicles ◽  
Energy Utilization ◽  
Source Control ◽  
Regenerative Braking ◽  
Braking Performance ◽  
Control Techniques ◽  
Braking System ◽  
Performance Development ◽  
Electric Braking ◽  
Dynamic Braking

This paper presents the analysis of the different braking system and fed into the motor application. Electric braking plays a major role in the working of electric vehicles the performance development, energy utilization. So the braking system is used to enhance the performance of the motor. Here the analysis of regenerative and dynamic braking performance in an induction motor.In energy generation context, regenerative braking is very proficient. On the other hand in dynamic braking, the energy will not fed back to the source, but the performance of regenerative braking is the generated power fed back to the source. Control techniques have used to utilize the energy efficiency of regenerative braking and analysis their performance in regenerative braking. In this study, comparison has been made between the utilization of regenerated power in dynamic braking and regenerative braking

A novel method for green delivery mode considering shared vehicles in the IoT environment

2020 ◽  
Vol 120 (9) ◽  
pp. 1733-1757 ◽  
Author(s):  
Ming K. Lim ◽  
Jianxin Wang ◽  
Chao Wang ◽  
Ming-Lang Tseng
Keyword(s):  
Energy Efficiency ◽  
Optimization Method ◽  
Energy Utilization ◽  
Delivery Mode ◽  
Delivery Method ◽  
Content Type ◽  
Customer Data ◽  
Routing Optimization ◽  
Novel Method ◽  
Positive Effect

PurposeIncreasing academic communities and practitioners begin to explore a novel method to reduce environmental pollution and realize green logistics delivery. Additionally, China's Statistical Yearbook shows that the number of private cars has reached 165 million in China. Under this background, this study proposes a green delivery method by the combination of sharing vehicle (private cars) and IoT (Internet of things) from the perspective of vehicle energy efficiency and aims to improve the energy efficiency of social vehicles and provides more convenient delivery services.Design/methodology/approachThis study builds an IoT architecture consisting of customer data layer, information collection layer, cloud optimization layer and delivery task execution layer. Especially in the IoT architecture, a clustering analysis method is used to determine the critical value of customers' classification and shared delivery, a routing optimization method is used to solve the initial solution in could layer and shared technology is used in the implementation of shared delivery.FindingsThe results show that the delivery method considering shared vehicles has a positive effect on improving the energy utilization of vehicles. But if all of delivery tasks are performed by the shared vehicle, the application effect may be counterproductive, such as delivery cost increases and energy efficiency decreases. This study provides a good reference for the implementation of green intelligent delivery business, which has a positive effect on the improvement of logistics operation efficiency.Originality/valueThis study designs a novel method to solve the green and shared delivery issues under the IoT environment, which integrates the IoT architecture. The proposed methodology is applied in a real case in China.

scholarly journals Optimization Strategy of Multiarea Interconnected Integrated Energy System Based on Consistency Theory

2020 ◽  
Vol 2020 ◽  
pp. 1-10
Author(s):  
Yuan Yu ◽  
Tieyan Zhang ◽  
Yan Zhao
Keyword(s):  
Objective Function ◽  
Energy System ◽  
Optimization Method ◽  
Collaborative Optimization ◽  
Energy Utilization ◽  
Optimization Strategy ◽  
Consistency Theory ◽  
Single Region ◽  
Integrated Energy System

A collaborative optimization strategy of an integrated energy system aiming at improving energy efficiency is studied in this paper for the cluster optimization of an integrated energy system (IES). In this paper, an improved discrete consistency method based on the coordination optimization method for IES is proposed. An IES model considering the mixed energy supply of electricity, heat, and gas is constructed in a single region. And then an objective function with the maximum return is established, on the premise of assuming that the prices of electricity, heat, and gas can be used as an economical means to adjust the energy utilization. Finally, the consistency theory is applied to the IES, and the improved discrete consistency algorithm is utilized to optimize the objective function. In the case study, a certain region IES is taken as an example in Northeast China. The case study demonstrates the effectiveness and accuracy of the coordination optimization method for IES.

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