Saptarshi Ghosh, Physical Layer Security for Smart Grid Communications, Ph.D. Thesis, IIT Delhi, March Nikhil Kumar Sharma, Development of New Protection Schemes for Microgrid, PhD Thesis, IIT Bhubaneswar, April Vibhuti Nougain, Control, Operation and Protection of Low Voltage DC Systems, Ph.D. Thesis, IIT Delhi, June Masters resources. Consequently, the control and operation of Smart Grid Distribution System are becoming critical day by day. This thesis, therefore, developed a Self-Healing Control Algorithm to improve reliability of a proposed Smart Grid Distribution System Saptarshi Ghosh, Physical Layer Security for Smart Grid Communications, Ph.D. Thesis, IIT Delhi, March Nikhil Kumar Sharma, Development of New Protection Schemes for Microgrid, PhD Thesis, IIT Bhubaneswar, April Vibhuti Nougain, Control, Operation and Protection of Low Voltage DC Systems, Ph.D. Thesis, IIT Delhi, June Masters
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Optimization models and algorithms for demand response in smart grid. Guangyang XuUniversity of Louisville Follow. For demand response in smart grid, a utility company wants to minimize total electricity cost and end users want to maximize their own utility. We first develop a system optimal SO model and a user equilibrium UE model for the utility grid phd thesis and end users, respectively and compare the difference of the two.
We consider users' possible preference on convenience over cost-saving under the real-time pricing in smart grid, and each user is assumed to have a preferred time window for using a particular appliance, grid phd thesis. As a result, each user in the proposed energy consumption game wishes to maximize a payoff or utility consisting of two parts: the negative of electricity cost and the convenience of using appliances during their preferred time windows.
Numerical results show that users with less flexibility on their preferred usage times have larger impact on the system performance at equilibrium.
Second, we found that instead of minimizing total cost, grid phd thesis, if utility company is regulated to maximize the social welfare, the user equilibrium model can achieve identical optimal solution as the system optimal model. We then design a demand response pricing frame work to accomplish this goal under alternative secondary objectives. We also investigate the non-uniqueness of the user equilibrium solution and prove that there exist alternative user equilibrium solutions, grid phd thesis.
In this case, robust pricing is considered using multi-level optimization for the user equilibrium, grid phd thesis.
Third, we study empirical data from a demand response pilot program in Kentucky in an attempt to understand consumer behavior under demand response and grid phd thesis characterize the thermo dynamics when set point for heat, ventilation and air conditioning HVAC is adjusted for demand response.
Although sample size is limited, it helps to reveal the great variability in consumers' response to demand response event.
Using the real data collected, we grid phd thesis to minimize the peak demand for a system consisting of smart thermostats, advanced hot water heaters and battery systems for storage, grid phd thesis. We propose a mixed integer program model as well as a heuristic algorithm for an optimal consumption schedule so that the system peak during a designated period is minimized. Therefore, we propose a consumption scheduling model to optimally control these loads and storage in maximizing efficiency without impacting thermal comfort.
The model allows pre-cooling and pre-heating of homes to be performed for variable loads in low-demand times. We propose several future works. First, we introduce the concept of elastic demand to our SO model and UE model. The system problem maximizes net benefit to the energy consumers and the user problem is the usual one of finding grid phd thesis with elastic demand.
The Karush-Kuhn-Tucker KKT conditions can be applied to solve the elastic demand problems. We also propose to develop algorithms for multi-level pricing models and further collect and analyze more field data in order to better understand energy users' consumption behavior. Xu, Guangyang, "Optimization models and algorithms for demand response in smart grid.
Electronic Theses and Dissertations, grid phd thesis. Paper Industrial Engineering CommonsOperational Research Commons. Advanced Search. Home About FAQ My Account Accessibility Statement. Privacy Copyright. Skip to main content. Grid phd thesis The University of Louisville's Institutional Repository.
My Account FAQ About Home. Title Optimization grid phd thesis and algorithms for demand response in smart grid. Author Guangyang XuUniversity of Louisville Follow. Author's Keywords optimization; demand response; distributed models; load control; pricing schemes. Abstract For demand response in smart grid, a utility company wants to minimize total electricity cost and end users want to maximize their own utility.
Recommended Citation Xu, Guangyang, "Optimization models and algorithms for demand response in smart grid. DOWNLOADS Since January 23, Included in Industrial Engineering CommonsOperational Research Commons. Search Enter search terms:.
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The Doctoral Thesis Grid
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This thesis addresses the existing limitations in steady-state analysis of power grids to enable a more secure and reliable environment for power grid operation and planning. To that effect, we develop a generic framework based on equivalent circuit formulation that can model both the Saptarshi Ghosh, Physical Layer Security for Smart Grid Communications, Ph.D. Thesis, IIT Delhi, March Nikhil Kumar Sharma, Development of New Protection Schemes for Microgrid, PhD Thesis, IIT Bhubaneswar, April Vibhuti Nougain, Control, Operation and Protection of Low Voltage DC Systems, Ph.D. Thesis, IIT Delhi, June Masters Grid Phd Thesis support representatives to ask any questions you have! Also, we are one of the few services that give you the possibility to chat with the helper who is implementing your task/10()
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