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Short-term Scheduling of Generation Units Considering Effective Uncertainties and Their Economic Effects

Mohammadi-ivatloo, Behnam | 2012

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  1. Type of Document: Ph.D. Dissertation
  2. Language: Farsi
  3. Document No: 43259 (05)
  4. University: Sharif University of Technology
  5. Department: Electrical Engineering
  6. Advisor(s): Ehsan, Mehdi; Amjady, Nima; Zareipour, Hamid Reza
  7. Abstract:
  8. The objective of the short-term scheduling of generation units has been changed with the restructuring of power systems. Minimizing the total operation cost while satisfying system operation constraints is the main objective of short-term scheduling of generation units in an integrated or centralized power system. Unlike the vertically integrated power systems, the main objective of Generation Company (GenCO) is maximizing the total profit in the restructured system. Two new approaches, called time varying acceleration coefficients iteration particle swarm optimization (TVAC-IPSO) and Imperialist Competitive Algorithm (ICA) are proposed to solve power systems static and dynamic economic dispatch problems in the integrated environment. A comprehensive comparisons are made between the proposed approaches and other recently reported method. Analysis of the results demonstrate that for such multi-minimum and complicated problems, proposed methods found solutions better than so far best known results by any other method in terms of cost and power losses. After reviewing different risk-based short term-scheduling of GenCos in the restructured system, a new method based on the information-gap decision theory (IGDT) is proposed. The proposed method can be used by either risk-averse or risk-seeker GenCos. The IGDT based method provides robust scheduling with guaranteed profits for risk-averse GenCo and can provide opportunistic scheduling for risk-seeker GenCo. Uncertainty of input parameters affect the GenCo’s profit in the restructured system. The price forecasting errors are the main source of uncertainty in the short term scheduling of price-taker GenCos. A lot of research works have been focused on improving the price forecasting errors, but the economic effect of improving price forecasts errors were not studied. In this thesis, two new indices are proposed for evaluating the economic effect of price forecasting errors on GenCo’s profit. The results of the study confirmed that traditional errors measures such as MAPE or MAE are not always consistent when used to select among alternative models. In other words, a model with higher MAPE may in fact result in lower economic losses compared to another model having a lower MAPE.
  9. Keywords:
  10. Short Term Planning ; Risk Management ; Imperialist Competitive Algorithm ; Information-gap Decision Theory ; Time Varying Acceleration Coefficients-Iteration Particle Swarm Optimization (TVAC-IPSO)

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