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作者 Leevongwat, Ittiphong
書名 Investment in power markets using locational marginal pricing and risk/reward analysis
國際標準書號 9780549118534
book jacket
說明 120 p
附註 Source: Dissertation Abstracts International, Volume: 68-07, Section: B, page: 4596
Adviser: Parviz Rastgoufard
Thesis (Ph.D.)--Tulane University School of Science and Engineering, 2007
This dissertation summarizes the plan for investigating a new, integrated approach to model Power Systems Optimization for forecasting Locational Marginal Pricing (LMP) in deregulated electricity markets. A comparative analysis of different financial schemes is performed in order to use LMP in investment strategy. The financial scheme that is most appropriate for financial investment using LMP is outlined. The proposed approach is based on the Locational Marginal Pricing (LMP) method presented in [1] that shows relationships among power system factors like generator bids, system constraints, and demand levels. The proposed approach uses Unit Commitment, Economic Dispatch, and Optimal Power Flow to perform Load Flow Analysis and includes LMP calculation to determine the price of electricity. A set of algorithms and corresponding software code in C++ and MATLAB are developed and tested with a six-bus system
Existing quantitative investment analysis methods, especially mean-variance method, [9, 10, 11, 12] are explored and guidelines are given for possible enhancements of the proposed approach with long-term decision making in Power Markets (PM). The mean-variance model aiming to minimize risk and achieve an expected reward uses an investment budget and expected rate of return of each asset to determine the percentage of total capital invested in each asset. The LMP method aiming to minimize the total system production cost takes economic and physical electric system parameters as its input and yields a schedule of unit commitment and a dispatch plan that determines the unit marginal cost of the last unit dispatched. Combination of the mean-variance method and the LMP method will give "true" optimum of profit-making decisions covering both engineering and financial aspects
With additional information from our thorough study of electricity market in the United States [24-39], regional expansion planning is presented together with other further research opportunities that we aim to serve as investing guidelines for investors
School code: 0494
Host Item Dissertation Abstracts International 68-07B
主題 Economics, Finance
Computer Science
Alt Author Tulane University School of Science and Engineering
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