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Electrical and Computer Engineering

University of Tennessee, Knoxville

Theses/Dissertations

2014

Uncertainty

Articles 1 - 2 of 2

Full-Text Articles in Engineering

Generation Scheduling For Power Systems With Demand Response And A High Penetration Of Wind Energy, Guodong Liu May 2014

Generation Scheduling For Power Systems With Demand Response And A High Penetration Of Wind Energy, Guodong Liu

Doctoral Dissertations

With renewable energy sources and demand response programs expanding in many power systems, traditional unit commitment and economic dispatch approaches are inadequate. The power system is changing to one where there is control with uncertainty for both generation and load. Alternative power system scheduling methods capable of aggregating the uncertainty of wind power and demand response, while maintaining reliable and economic performance are investigated in this work. The research addresses four aspects of these changes.

First, a probabilistic method is proposed to maintain uniform system reliability level in the hour-ahead economic dispatch by quantifying different levels of required spinning reserve. …


Studies Of Economics And Stability With Variable Generation And Controllable Load, Hao Huang May 2014

Studies Of Economics And Stability With Variable Generation And Controllable Load, Hao Huang

Doctoral Dissertations

This work probes several aspects of the renewable resources and controllable loads. The investigation includes the impact of wind power in bidding process in a deregulated power market, the effect of load damping elements on power system frequency stability and security, and impact of controllable load on system operation from the viewpoint of economic volatility and physical security.

In the first part, new bidding models are developed under two schemes for wind generation to analyze the competition among generation companies (GENCOs) with transmission constraints considered. The proposed method employs the supply function equilibrium (SFE) to model a GENCO’s bidding strategy. …