Smart grid thesis phd

Smart grid thesis phd

Data-Driven robust and optimal smart grid control. Reference number. SCEBE/21S//IK. Aim and Scope. Smart grids refer to electricity networks that enable a two-way flow of electricity and data with digital communication links to help detect, react and pro-act to changes in demand and other issues side. This thesis investigates the impact of smart grid technologies on the integra-tion of wind power into the power system. A smart grid power system model is developed and validated by comparison with a real-life smart grid experiment: the Olympic Peninsula Demonstration Experiment. The smart grid system model is then Jan 23,  · For demand response in smart grid, a utility company wants to minimize total electricity cost and end users want to maximize their own utility. The latter is considered to consist of two parts in this research: electricity cost and convenience/comfort. We first develop a system optimal (SO) model and a user equilibrium (UE) model for the utility company and end users, respectively and compare Cited by: 1

Smart Grid Thesis Phd

Optimization models and algorithms for demand response in smart grid. Guangyang XuUniversity of Louisville Follow, smart grid thesis phd. For demand response in smart grid, a utility company wants to minimize total electricity smart grid thesis phd and end users want to maximize their own utility.

We first develop a system optimal SO model and a user equilibrium UE model smart grid thesis phd the utility company and smart grid thesis phd users, respectively and compare the difference of the two, smart grid thesis phd. 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.

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, 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. In this case, robust pricing is considered using multi-level optimization for the user equilibrium. Third, we study empirical data from a demand response pilot program in Kentucky in an attempt to understand consumer behavior under demand response and to 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 consider to minimize the peak demand for a system consisting of smart thermostats, advanced hot water heaters and battery systems for storage. 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 equilibrium with elastic demand, smart grid thesis phd. 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. Paper Industrial Engineering CommonsOperational Research Commons. Advanced Search. Home About FAQ My Account Accessibility Statement. Privacy Copyright. Skip to smart grid thesis phd content. ThinkIR: The University of Louisville's Institutional Repository. My Account FAQ About Home. Title Optimization models 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.

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”Optimization Aspects in Smart Grid” - Meet the YP: Dr. Faeza Hafiz

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side. This thesis investigates the impact of smart grid technologies on the integra-tion of wind power into the power system. A smart grid power system model is developed and validated by comparison with a real-life smart grid experiment: the Olympic Peninsula Demonstration Experiment. The smart grid system model is then When students face a Smart Grid Phd Thesis Topics host of academic writing to do along with many other educational assignments it becomes quite Smart Grid Phd Thesis Topics difficult to have time for getting on well. Especially if they meet a hot academic season and have a job for making some money at Smart Grid Phd Thesis Topics the same time.. All these unfavorable circumstances cause /10() Technological breakthroughs during the past decades in the eld of informa-tion and communication technology have facilitated the development of the blogger.com is to certify that the thesis titled “Study of Smart Grid Technology and Its Development in Indian Scenario”, submitted to the National Institute of Technology, Rourkela by Mr. Shiban Kanti Bala, Roll No. EE for the award of Bachelor of /10()