Optimal operation of combined cooling heat and power (CCHP) systems in future energy networks

In recent years, worldwide energy consumption has been increasing. Therefore, it is very important to improve energy utilization efficiency. Theelectric energy and heat energy can be converted from fuel by the combined cooling, heatand power (CCHP)system and the energy utilization efficiencycan be i...

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Main Author: Wang, Wenyu
Other Authors: Xu Yan
Format: Final Year Project
Language:English
Published: Nanyang Technological University 2020
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Online Access:https://hdl.handle.net/10356/139751
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Institution: Nanyang Technological University
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spelling sg-ntu-dr.10356-1397512023-07-07T18:28:23Z Optimal operation of combined cooling heat and power (CCHP) systems in future energy networks Wang, Wenyu Xu Yan School of Electrical and Electronic Engineering xuyan@ntu.edu.sg Engineering::Electrical and electronic engineering::Power electronics In recent years, worldwide energy consumption has been increasing. Therefore, it is very important to improve energy utilization efficiency. Theelectric energy and heat energy can be converted from fuel by the combined cooling, heatand power (CCHP)system and the energy utilization efficiencycan be improved by the system.This project mainly studies the optimized operation of microgrid based on CCHP system. In this project, the micro gas turbine, fuel cell, electric boilerand etc. are belong to controllable units in themulti-energy micro grid system,thewind turbine, photovoltaiccell, electrical and thermal energy storage systemsare belong to uncontrolled units.The optimization model in this paper aims at the lowest total cost of operation of the system and needs to satisfy the power balance of thermal energy and electric energy. The constraints include the relative constraints of each device in the system and the relative constraints of the system. In the meantime, scheduling flexibility also needs to be guaranteed. The model is treated as mixed integer linear programming(MILP)problem and solved efficiently by YALMIP.A real system is used for simulation analysis. Compare the three modes to study the efficiency of the model. Simulation results show the effectiveness of the model and algorithm. Bachelor of Engineering (Electrical and Electronic Engineering) 2020-05-21T06:34:41Z 2020-05-21T06:34:41Z 2019 Final Year Project (FYP) https://hdl.handle.net/10356/139751 en P1026-182 application/pdf Nanyang Technological University
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Engineering::Electrical and electronic engineering::Power electronics
spellingShingle Engineering::Electrical and electronic engineering::Power electronics
Wang, Wenyu
Optimal operation of combined cooling heat and power (CCHP) systems in future energy networks
description In recent years, worldwide energy consumption has been increasing. Therefore, it is very important to improve energy utilization efficiency. Theelectric energy and heat energy can be converted from fuel by the combined cooling, heatand power (CCHP)system and the energy utilization efficiencycan be improved by the system.This project mainly studies the optimized operation of microgrid based on CCHP system. In this project, the micro gas turbine, fuel cell, electric boilerand etc. are belong to controllable units in themulti-energy micro grid system,thewind turbine, photovoltaiccell, electrical and thermal energy storage systemsare belong to uncontrolled units.The optimization model in this paper aims at the lowest total cost of operation of the system and needs to satisfy the power balance of thermal energy and electric energy. The constraints include the relative constraints of each device in the system and the relative constraints of the system. In the meantime, scheduling flexibility also needs to be guaranteed. The model is treated as mixed integer linear programming(MILP)problem and solved efficiently by YALMIP.A real system is used for simulation analysis. Compare the three modes to study the efficiency of the model. Simulation results show the effectiveness of the model and algorithm.
author2 Xu Yan
author_facet Xu Yan
Wang, Wenyu
format Final Year Project
author Wang, Wenyu
author_sort Wang, Wenyu
title Optimal operation of combined cooling heat and power (CCHP) systems in future energy networks
title_short Optimal operation of combined cooling heat and power (CCHP) systems in future energy networks
title_full Optimal operation of combined cooling heat and power (CCHP) systems in future energy networks
title_fullStr Optimal operation of combined cooling heat and power (CCHP) systems in future energy networks
title_full_unstemmed Optimal operation of combined cooling heat and power (CCHP) systems in future energy networks
title_sort optimal operation of combined cooling heat and power (cchp) systems in future energy networks
publisher Nanyang Technological University
publishDate 2020
url https://hdl.handle.net/10356/139751
_version_ 1772826991858286592