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Sequential Approach with Matrix Framework for Various Types of Economic Thermal Power Dispatch Problems

Energy and Power Engineering 2010年第2期2卷 111-121页

作者： Srikrishna Subramanian ganesan sivarajan 不详

This paper presents a sequential approach with matrix framework for solving various kinds of economic dispatch problems. The objective of the economic dispatch problems of electrical power generation is to schedule the committed generating units output so as to meet the required load demand while satisfying the system equality and inequality constraints. This is a maiden approach developed to obtain the optimal dispatches of generating units for all possible load demands of power system in a single execution. The feasibility of the proposed method is demonstrated by solving economic load dispatch problem, combined economic and emission dispatch problem, multiarea economic dispatch problem and economic dispatch problem with multiple fuel options. The proposed methodology is tested with different scale of power systems. The generating unit operational constraints are also considered. The simulation results obtained by proposed methodology for various economic dispatch problems are compared with previous literatures in terms of solution quality. Numerical simulation results indicate an improvement in total cost saving and hence the superiority of the proposed method is also revealed for economic dispatch problems.

关键词： Combined Economic and Emission Dispatch Composite Cost Function Economic Dispatch Multiarea Economic Dispatch Multiple Fuel Options Prohibited Operating Zone Ramp Rate Limits Sequential Approach Transmission Loss

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Preferred Economic Dispatch of Thermal Power Units

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Journal of Power and Energy Engineering 2015年第11期3卷 47-69页

作者： Selvaraj Durai Srikrishna Subramanian sivarajan ganesan Department of Electrical Engineering Annamalai University Chidambaram India

Economic Dispatch (ED) problem is one of the main concerns of the power generation operations which are basically solved to generate optimal amount of power from the generating units in the system by minimizing the fuel cost and by satisfying the system constraints. The accuracy of ED solutions is highly influenced by the fuel cost parameters of the generating units. Generally, the parameters are subjected to transform due to aging process and other external issues. Further the parameters associated with the transmission line modelling also change due to aforementioned issues. The loss coefficients which are the functions of transmission line parameters get altered from the original value over a time. Hence, the periodical estimation of these coefficients is highly essential in power system problems for obtaining ideal solutions for ED problem. Estimating the ideal parameters of the ED problem may be the best solution for this issue. This paper presents the Teaching Learning Based Optimization (TLBO) algorithm to estimate the parameters associated with ED problem. The estimation problem is formulated as an error minimization problem. This work provides a frame work for the computation of coefficients for quadratic function, piecewise quadratic cost function, emission function, transmission line parameters and loss coefficients. The effectiveness of TLBO is tested with 2 standard test systems and an Indian utility system.

关键词： Parameter Estimation Cost Coefficients Emission Coefficients Error Estimation Transmission Line Parameters Teaching Learning Based Optimization

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