Systematic Testing and Comparison of Deterministic and Stochastic Unit Commitment on an 8-Zone Test Case Based on ISO New England Data
Date
Authors
Major Professor
Advisor
Committee Member
Journal Title
Journal ISSN
Volume Title
Publisher
Authors
Research Projects
Organizational Units
The Department of Economic Science was founded in 1898 to teach economic theory as a truth of industrial life, and was very much concerned with applying economics to business and industry, particularly agriculture. Between 1910 and 1967 it showed the growing influence of other social studies, such as sociology, history, and political science. Today it encompasses the majors of Agricultural Business (preparing for agricultural finance and management), Business Economics, and Economics (for advanced studies in business or economics or for careers in financing, management, insurance, etc).
History
The Department of Economic Science was founded in 1898 under the Division of Industrial Science (later College of Liberal Arts and Sciences); it became co-directed by the Division of Agriculture in 1919. In 1910 it became the Department of Economics and Political Science. In 1913 it became the Department of Applied Economics and Social Science; in 1924 it became the Department of Economics, History, and Sociology; in 1931 it became the Department of Economics and Sociology. In 1967 it became the Department of Economics, and in 2007 it became co-directed by the Colleges of Agriculture and Life Sciences, Liberal Arts and Sciences, and Business.
Dates of Existence
1898–present
Historical Names
- Department of Economic Science (1898–1910)
- Department of Economics and Political Science (1910-1913)
- Department of Applied Economics and Social Science (1913–1924)
- Department of Economics, History and Sociology (1924–1931)
- Department of Economics and Sociology (1931–1967)
Related Units
- College of Agricultural and Life Sciences (parent college)
- College of Liberal Arts and Sciences (parent college)
- College of Business (parent college)
The Department of Electrical and Computer Engineering (ECpE) contains two focuses. The focus on Electrical Engineering teaches students in the fields of control systems, electromagnetics and non-destructive evaluation, microelectronics, electric power & energy systems, and the like. The Computer Engineering focus teaches in the fields of software systems, embedded systems, networking, information security, computer architecture, etc.
History
The Department of Electrical Engineering was formed in 1909 from the division of the Department of Physics and Electrical Engineering. In 1985 its name changed to Department of Electrical Engineering and Computer Engineering. In 1995 it became the Department of Electrical and Computer Engineering.
Dates of Existence
1909-present
Historical Names
- Department of Electrical Engineering (1909-1985)
- Department of Electrical Engineering and Computer Engineering (1985-1995)
Related Units
- College of Engineering (parent college)
- Department of Physics and Electrical Engineering (predecessor)
Journal Issue
Is Version Of
Versions
Series
Department
Abstract
The increasing penetration of variable and intermittent generation, especially the wind power, are introducing greater uncertainties to the modern power systems. The operation of power system is thus facing more challenges. Many effective models and algorithms are proposed to mitigate the challenges. Among those, the Stochastic Security-Constrained Unit Commitment (S-SCUC) is one of the most important tools. The S-SCUC has many different features over the traditional deterministic Security-Constrained Unit Commitment (D-SCUC). The propose of this paper is to develop a systematic testing framework to compare the performances of S-SCUC and D-SCUC. To make the results better reflecting the true power systems, we use the real generation data from the ISO New England (ISO-NE) to conduct the tests. The ISO-NE bulk network is condensed into a 8-zone economic test system. Computational experiments are designed to facilitate the comparisons under a variety of possible system conditions, including various wind power penetration levels, various reserve requirement levels, and various months of a year. The testing results have demonstrated that the average cost saving of S-SCUC is a "U-shape" function, where S-SCUC has the least cost saving over D-SCUC at the saddle point of the "U-shape".
Comments
This is a poster from the 2015 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference DOI: 10.1109/ISGT.2015.7131783. Posted with permission.