Control and optimization of energy flow in hybrid large scale systems - A microgrid for photovoltaic based PEV charging station
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The Ohio State University / OhioLINK
2011
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ndltd-OhioLink-oai-etd.ohiolink.edu-osu13135227172021-08-03T06:03:33Z Control and optimization of energy flow in hybrid large scale systems - A microgrid for photovoltaic based PEV charging station Tulpule, Pinak J. Alternative Energy Economics Electrical Engineering Energy Photovoltaic workplace charging plug-in electric vehicles DC microgrid Hybrid Large Scale System Model Economic analysis solar power Optimal load side energy management Inventory control problem <p>This dissertation presents a hybrid large scale system model of a DC microgrid, its input to state stability analysis and an optimal control algorithm for load side energy management. The theoretical principles of hybrid large scale system modeling, stability, and optimal control for stochastic systems are applied to DC microgrid designed for a photovoltaic based charging station at a workplace parking garage. The example DC microgrid has two energy sources (renewable energy source and power grid) and many plug-in electric vehicle (PEV) charging stations. Stochastic inputs to the system are solar power and charging demand of the PEVs and the control inputs are the vehicle charging power and duration. </p><p>The hybrid large scale system model of the DC microgrid is developed in state space form to model the large number of DC-DC converters and discrete changes in the system configurations caused by actions of a supervisory controller and converter operating modes. Stability analysis of the model using the Gersgorin principle, an eigenvalue inclusion theorem and connective stability principles provide design guidelines and conditions on interconnection properties. Necessary conditions for the large scale system stability are provided using eigenvalue analysis. The input to state stability analysis is performed using Lyapunov theory for hybrid systems to provide constraints on the dwell time of the switching signal. </p><p>The optimization problem is structured as an inventory control problem and solved using dynamic programming with stochastic inputs to find the charging power of all the vehicles at each time step. A simple but realistic rule based algorithm is developed to distribute the total charging power among available vehicles. The control algorithm schedules PEV charging power to maximize the use of solar energy, reduce energy taken from the grid, and satisfy the charging demand of all vehicles within the switching constraints. Finally, this research is accompanied by the overall energy-economic analysis of the PV based PEV charging station to show the feasibility of the proposed method in real world applications. The economic analysis is based on one time charging during a day and considering bidirectional power flows with the grid using net metering.</p> 2011-10-20 English text The Ohio State University / OhioLINK http://rave.ohiolink.edu/etdc/view?acc_num=osu1313522717 http://rave.ohiolink.edu/etdc/view?acc_num=osu1313522717 unrestricted This thesis or dissertation is protected by copyright: all rights reserved. It may not be copied or redistributed beyond the terms of applicable copyright laws. |
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NDLTD |
| language |
English |
| sources |
NDLTD |
| topic |
Alternative Energy Economics Electrical Engineering Energy Photovoltaic workplace charging plug-in electric vehicles DC microgrid Hybrid Large Scale System Model Economic analysis solar power Optimal load side energy management Inventory control problem |
| spellingShingle |
Alternative Energy Economics Electrical Engineering Energy Photovoltaic workplace charging plug-in electric vehicles DC microgrid Hybrid Large Scale System Model Economic analysis solar power Optimal load side energy management Inventory control problem Tulpule, Pinak J. Control and optimization of energy flow in hybrid large scale systems - A microgrid for photovoltaic based PEV charging station |
| author |
Tulpule, Pinak J. |
| author_facet |
Tulpule, Pinak J. |
| author_sort |
Tulpule, Pinak J. |
| title |
Control and optimization of energy flow in hybrid large scale systems - A microgrid for photovoltaic based PEV charging station |
| title_short |
Control and optimization of energy flow in hybrid large scale systems - A microgrid for photovoltaic based PEV charging station |
| title_full |
Control and optimization of energy flow in hybrid large scale systems - A microgrid for photovoltaic based PEV charging station |
| title_fullStr |
Control and optimization of energy flow in hybrid large scale systems - A microgrid for photovoltaic based PEV charging station |
| title_full_unstemmed |
Control and optimization of energy flow in hybrid large scale systems - A microgrid for photovoltaic based PEV charging station |
| title_sort |
control and optimization of energy flow in hybrid large scale systems - a microgrid for photovoltaic based pev charging station |
| publisher |
The Ohio State University / OhioLINK |
| publishDate |
2011 |
| url |
http://rave.ohiolink.edu/etdc/view?acc_num=osu1313522717 |
| work_keys_str_mv |
AT tulpulepinakj controlandoptimizationofenergyflowinhybridlargescalesystemsamicrogridforphotovoltaicbasedpevchargingstation |
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1719430187078123520 |