application of fuzzy linear programming in optimal load shedding and generation reallocation problem
نویسندگان
چکیده
in this article, an effective method to control a power system during emergency conditions is presented. based on fuzzy linear programming (flp), a new technique is developed to solve the load shedding and generation reallocation (lsgr) optimization problem. the objective function consists of terms of load curtailments and deviations in generation schedules. the constraints are power system variables limitations. the objective function and constraints coefficients are uncertain, thus it is more appropriate to use fuzzy linear programming. considering the network frequency as an essential variable, and using the electrical load model, a fuzzy environment is prepared to solve more realistically and successfully the lsgr optimization problem. the results of various cases of fuzzy and crisp modes of the problem are demonstrated. it will be observed that the application of the flp on one hand, will provide a more realistic model of power systems, and on the other hand, will cause a reduction in the values of the objective function.
منابع مشابه
Application of Fuzzy Linear Programming in Optimal Load Shedding and Generation Reallocation Problem
In this article, an effective method to control a power system during emergency conditions is presented. Based on Fuzzy Linear Programming (FLP), a new technique is developed to solve the Load Shedding and Generation Reallocation (LSGR) optimization Problem. The objective function consists of terms of load curtailments and deviations in generation schedules. The constraints are power system var...
متن کاملApplication of Fuzzy Linear Programming in Optimal Load Shedding and Generation Reallocation Problem
In this article, an effective method to control a power system during emergency conditions is presented. Based on Fuzzy Linear Programming (FLP), a new technique is developed to solve the Load Shedding and Generation Reallocation (LSGR) optimization Problem. The objective function consists of terms of load curtailments and deviations in generation schedules. The constraints are power system var...
متن کاملOptimal Setting Sor Under Frequency Load Shedding Relays Using Mixed Integer Linear Programming
After occurrence of some disturbances in power system that causes the sever imbalance between generation power and electrical load, the power system frequency begins to decrease. To prevent power system frequency instability and stop the frequency decay below the power system allowable frequency limitation, load shedding schemes should be utilized by applying under frequency load shedding relay...
متن کاملmodeling and optimization of load shedding and generation reallocation at compulsive condition of electrical transmission system
0
متن کاملA linear Fuzzy Goal Programming Method for Solving Optimal Power Generation and Dispatch Problem
This paper presents how fuzzy goal programming (FGP) method can be efficiently used modeling and solving power generation and dispatch (PGD) problems in power system operation and planning horizon. In the proposed approach, the objectives of a problem involved with optimal power flow computation are considered fuzzy in nature in an uncertain decision environment. In the model formulation of the...
متن کاملA Linear Programming Based Approach For Generation Rescheduling And Load Shedding To Alleviate Power System Overloads
This paper presents a linear programming (LP) based approach for the alleviation of line overloads by generation rescheduling and load shedding. The algorithm is based on solving a linearized set of optimal equations. The objective function for generation rescheduling is to minimize the linearized system operating cost while satisfying the system equality and inequality constraints. In respect ...
متن کاملمنابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
روش های عددی در مهندسی (استقلال)جلد ۱۵، شماره ۲، صفحات ۲۷-۴۲
میزبانی شده توسط پلتفرم ابری doprax.com
copyright © 2015-2023