Behavioral Modeling for Parallel- and Cascade-Connected dc–dc Converters

2019 ◽  
Vol 28 (04) ◽  
pp. 1950058 ◽  
Author(s):  
Husan Ali ◽  
Xiancheng Zheng ◽  
Haider Zaman ◽  
Huamei Liu ◽  
Xiaohua Wu
Keyword(s):  
Close Agreement ◽  
Energy Systems ◽  
Behavioral Modeling ◽  
Equivalent Model ◽  
Design Stage ◽  
Distributed Energy ◽  
Essential Step ◽  
Power Electronics Converters ◽  
Modeling Techniques ◽  
Model Derivation

Analysis of distributed energy systems (DESs) is more challenging, as multiple energy sources are connected with different loads through power electronics converters. Modeling and simulation become an essential step during the design stage, prior to actual implementation. These DESs comprised numerous converters in various configurations, e.g., parallel and cascade. This paper presents behavioral modeling technique for interconnected converters that can be used to predict dynamics of overall system. First models are developed for two converters in parallel and cascade configuration using direct approach (DA). The model derivation using DA becomes too complex for larger systems. A new transformation-based approach (TBA) is proposed, which, unlike DA, is simple and can easily be extended to model [Formula: see text] interconnected converters. In this method, the measured [Formula: see text]-parameter set is transformed to another domain, equivalent model is computed simply by the addition or multiplication of transformed [Formula: see text]-parameters and then the equivalent model is transformed back to [Formula: see text]-parameter set. The modeling techniques are implemented in Matlab/Simulink. The results from DA and TBA are compared, and their close agreement suggests that the new TBA can be used for the analysis of interconnected systems, comprised of multiple parallel and cascade converters.

scholarly journals Behavioral Modeling Paradigm for DC Nanogrid Based Distributed Energy Systems

Energies ◽  
2021 ◽  
Vol 14 (23) ◽  
pp. 7904
Author(s):  
Muhammad Saad ◽  
Yongfeng Ju ◽  
Husan Ali ◽  
Sami Ullah Jan ◽  
Dawar Awan ◽  
...  
Keyword(s):  
Renewable Energy Sources ◽  
Storage System ◽  
Energy Systems ◽  
Behavioral Model ◽  
Operating Conditions ◽  
Behavioral Modeling ◽  
System Level ◽  
Distributed Energy ◽  
New Paradigm ◽  
Large Signal

The remarkable progress of power electronic converters (PEC) technology has led to their increased penetration in distributed energy systems (DES). Particularly, the direct current (dc) nanogrid-based DES embody a variety of sources and loads, connected through a central dc bus. Therefore, PECs are required to be employed as an interface. It would facilitate incorporation of the renewable energy sources and battery storage system into dc nanogrids. However, it is more challenging as the integration of multiple modules may cause instabilities in the overall system dynamics. Future dc nanogrids are envisioned to deploy ready-to-use commercial PEC, for which designers have no insight into their dynamic behavior. Furthermore, the high variability of the operating conditions constitute a new paradigm in dc nanogrids. It exacerbates the dynamic analysis using traditional techniques. Therefore, the current work proposes behavioral modeling to perform system level analysis of a dc nanogrid-based DES. It relies only on the data acquired via measurements performed at the input–output terminals only. To verify the accuracy of the model, large signal disturbances are applied. The matching of results for the switch model and its behavioral model verifies the effectiveness of the proposed model.

scholarly journals Non-Linear Behavioral Modeling for DC-DC Converters and Dynamic Analysis of Distributed Energy Systems

Energies ◽  
2017 ◽  
Vol 10 (1) ◽  
pp. 63 ◽  
Author(s):  
Xiancheng Zheng ◽  
Husan Ali ◽  
Xiaohua Wu ◽  
Haider Zaman ◽  
Shahbaz Khan
Keyword(s):  
Dynamic Analysis ◽  
Energy Systems ◽  
Behavioral Modeling ◽  
Distributed Energy ◽  
Non Linear

New integrated converter for hydrogen buffer interfacing in distributed energy systems

2011 ◽  
pp. 998-1003
Author(s):  
D. Vinnikov ◽  
A. Andrijanovitš ◽  
I. Roasto ◽  
T. Lehtla
Keyword(s):  
Energy Systems ◽  
Distributed Energy

Impact of carbon pricing on distributed energy systems planning

2021 ◽  
Vol 301 ◽  
pp. 117324
Author(s):  
Andrea Bartolini ◽  
Stefano Mazzoni ◽  
Gabriele Comodi ◽  
Alessandro Romagnoli
Keyword(s):  
Energy Systems ◽  
Distributed Energy ◽  
Carbon Pricing ◽  
Systems Planning

scholarly journals Calculation and Analysis of the Interval Power Flow for Distributed Energy System Based on Affine Algorithm

Energies ◽  
2021 ◽  
Vol 14 (3) ◽  
pp. 600
Author(s):  
Bin Ouyang ◽  
Lu Qu ◽  
Qiyang Liu ◽  
Baoye Tian ◽  
Zhichang Yuan ◽  
...  
Keyword(s):  
Power Flow ◽  
Load Condition ◽  
Energy Systems ◽  
Energy System ◽  
Optimal Operation ◽  
Energy Utilization ◽  
Utilization Rate ◽  
Distributed Energy ◽  
Low Load ◽  
Distributed Energy System

Due to the coupling of different energy systems, optimization of different energy complementarities, and the realization of the highest overall energy utilization rate and environmental friendliness of the energy system, distributed energy system has become an important way to build a clean and low-carbon energy system. However, the complex topological structure of the system and too many coupling devices bring more uncertain factors to the system which the calculation of the interval power flow of distributed energy system becomes the key problem to be solved urgently. Affine power flow calculation is considered as an important solution to solve uncertain steady power flow problems. In this paper, the distributed energy system coupled with cold, heat, and electricity is taken as the research object, the influence of different uncertain factors such as photovoltaic and wind power output is comprehensively considered, and affine algorithm is adopted to calculate the system power flow of the distributed energy system under high and low load conditions. The results show that the system has larger operating space, more stable bus voltage and more flexible pipeline flow under low load condition than under high load condition. The calculation results of the interval power flow of distributed energy systems can provide theoretical basis and data support for the stability analysis and optimal operation of distributed energy systems.

scholarly journals Perspectives of CO2 Value Chains on Distributed Energy Systems for the Gas Industry

2013 ◽  
Vol 37 ◽  
pp. 2629-2636 ◽  
Author(s):  
Susumu Nishio ◽  
Takuto Isshiki ◽  
Hiromichi Kameyama ◽  
Ziqiu Xue
Keyword(s):  
Energy Systems ◽  
Value Chains ◽  
Distributed Energy ◽  
Gas Industry

Distributed energy systems in California's future: Interim report, Volume I

1978 ◽  
Author(s):  
P. Craig ◽  
M. Christensen ◽  
M. Levine ◽  
D. MuKamel ◽  
M. Simmons
Keyword(s):  
Energy Systems ◽  
Interim Report ◽  
Distributed Energy

Design and Optimization of Integrated Distributed Energy Systems for Off-grid Buildings

2021 ◽  
pp. 1-27
Author(s):  
Jian Zhang ◽  
Heejin Cho ◽  
Pedro Mago
Keyword(s):  
Energy Storage ◽  
Optimal Design ◽  
Power Systems ◽  
Thermal Energy ◽  
Waste Heat ◽  
Carbon Dioxide Emission ◽  
Energy Systems ◽  
Solar Thermal ◽  
Solar Thermal Energy ◽  
Distributed Energy

Abstract Off-grid concepts for homes and buildings have been a fast-growing trend worldwide in the last few years because of the rapidly dropping cost of renewable energy systems and their self-sufficient nature. Off-grid homes/buildings can be enabled with various energy generation and storage technologies, however, design optimization and integration issues have not been explored sufficiently. This paper applies a multi-objective genetic algorithm (MOGA) optimization to obtain an optimal design of integrated distributed energy systems for off-grid homes in various climate regions. Distributed energy systems consisting of renewable and non-renewable power generation technologies with energy storage are employed to enable off-grid homes/buildings and meet required building electricity demands. In this study, the building types under investigation are residential homes. Multiple distributed energy resources are considered such as combined heat and power systems (CHP), solar photovoltaic (PV), solar thermal collector (STC), wind turbine (WT), as well as battery energy storage (BES) and thermal energy storage (TES). Among those technologies, CHP, PV, and WT are used to generate electricity, which satisfies the building's electric load, including electricity consumed for space heating and cooling. Solar thermal energy and waste heat recovered from CHP are used to partly supply the building's thermal load. Excess electricity and thermal energy can be stored in the BES and TES for later use. The MOGA is applied to determine the best combination of DERs and each component's size to reduce the system cost and carbon dioxide emission for different locations. Results show that the proposed optimization method can be effectively and widely applied to design integrated distributed energy systems for off-grid homes resulting in an optimal design and operation based on a trade-off between economic and environmental performance.

Sign in / Sign up

Export Citation Format

Share Document