matlab code for economic load dispatch using abc
#1

Hi Sir,
I would like to view matlab code for economic load dispatch using ABC.
Please let me view.
Thanks
Rajesh
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#2

matlab code for economic load dispatch using abc

ABSTRACT

Unit Commitment (UC) and Economic Load Dispatch (ELD) problems are significant research areas to determine the economical generation schedule with all generating unit constraints, such as unit ramp rates, unit minimum and maximum generation capabilities and minimum up-time and down-time. This study proposed a technique for solving the UC and ELD problems using bio-inspired techniques like Genetic Algorithm (GA) and Artificial Bee Colony (ABC) Optimization. The experiments are performed in two phases: UC phase and ELD phase. In the UC phase, a turn-on and turn-off schedule for a given combination of generating units is performed using GA, thus satisfying a set of dynamic operational constraints. During the second ELD phase, the pre-committed schedules are optimized and the optimal load is distributed among the scheduled units using ABC algorithm. The effectiveness of the proposed technique is investigated on two test systems namely, IEEE 30 bus system and ten unit system. Experimental results prove that the proposed method is capable of yielding higher quality solution including mathematical simplicity, fast convergence, diversity maintenance, robustness and scalability for the complex UC-ELD problem.

INTRODUCTION

The electric power generated is much larger during day time due to high industrial loads and during evenings and early morning due to residential population usage. Based on the forecasted power requirements for the successive operating day, the generating units are scheduled on an hourly basis for the next day’s dispatch which in turn is forecasted for a week ahead. The system operators can now schedule the ON/OFF status and the real power outputs of the generating units to meet the forecasted demand over a time horizon. There may exist large variations in the day to day load patterns, thus enough power has to be generated to meet the maximum load demand. In addition, it is not economical to run all the units every time. Hence it is necessary to determine the units of a particular system that are required to operate for given loads. This problem is known as the unit commitment (Rajan, 2010).
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