Power and Energy

NCR186500BD Energy Optimization and Power Security (EOPS) Laboratory

In the experiments, data is collected through tests on a LIB, specifically the Panasonic NCR186500BD, which has a capacity of 3200 mAh, a voltage of 3.6 V and is used as an energy storage unit by Tesla electric vehicles. To simulate different discharge modes of an EV battery, the Dynamic Stress Test (DST), Beijing Dynamic Stress Test (BJDST), and Federal Urban Driving Schedule (FUDS) are used as test subjects. The tests are conducted at temperatures ranging from 10 °C to 45 °C in the Energy Optimization and Power Security (EOPS) Laboratory at Hunan University, China.

Categories:: Power and Energy

102 Views

10-bus, 69-bus, and 873-bus radial distribution feeder datasets for power flow calculation

This dataset includes the system data and equivalent Distributed Energy Resource (DER) allocations for three test cases: a 10-bus system, the IEEE 69-bus radial test feeder, and an 873-bus radial test feeder. The IEEE 69-bus system data is based on the work of Baran and Wu ("Optimal capacitor placement on radial distribution systems," IEEE Trans. Power Deliv., vol. 4, no. 1, pp. 725-734, 1989).

Categories:: Power and Energy

1099 Views

Modeling and Simulation of Three-Phase Grid-Connected Solid-Oxide Fuel Cell Systems

This paper presents a method for modeling and simulating three-phase grid-connected solid-oxide fuel cell systems in the Matlab/Simulink environment. The approach is utilized to analyze the interaction between solid-oxide fuel cells and the electrical power system, focusing on understanding the dynamics of the electrochemical reaction and its impact on the performance of grid-connected fuel cell systems. The results highlight the effectiveness of the proposed method in accurately modeling and operating three-phase grid-connected solid-oxide fuel cell systems.

Categories:: Power and Energy
Electric Utility
Smart Grid
Energy

194 Views

MatWPT

MatWPT is an innovative software to support designers during the analysis and development of Wireless Power Transfer (WPT) systems. The software, developed as a Matlab toolbox, receives the key system characteristics as inputs, such as compensation topology, operating frequency and desired output power. Then, using evolutionary optimization, provides potential design options for meeting the performance criteria defined by the designer, in terms of output power and efficiency.