Profit Based Unit Commitment using Improved Pre-prepared Power Demand (IPPD) Table and Artificial Bee Colony (ABC) Algorithm

International Journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering

article

L. Nagalakshmi¹  C. Nithyanandam¹ 

[1] Dept. of Electrical and Electronics Engineering, Velammal Engineering College

关键词: Artificial Bee Colony Algorithm;    Improved Pre-prepared Power Demand table;    Nodal Ant Colony optimization;    Parallel Artificial Bee Colony Algorithm;    Profit Based Unit Commitment and deregulation.;   

来源: Research & Reviews

【 摘 要 】

The advent of restructured power system has led to the unbundling of vertically integrated utility to horizontally integrated utility with the objective of improving its efficiency by providing a more reliable energy at least cost to customers. Deregulation emphasizes on maximizing the profit of GENCOs rather than satisfying demand and reserve requirements and hence it differs from the traditional Unit Commitment (UC) with respect to objective function. This project presents a new approach for solving Profit Based Unit Commitment (PBUC). Mathematically, the PBUC problem is a mixed integer and continuous nonlinear optimization problem, which is complex to solve because of its enormous dimensionality due to a nonlinear objective function and large number of constraints. Hence, PBUC problem is divided into two sub-problems. The first sub-problem involves the determination of output powers of the committed units (ED). This project utilizes Improved Pre-prepared Power Demand (IPPD) table for UC and Artificial Bee Colony (ABC) algorithm for ED. This approach has been tested on a 10 unit power system using MATLAB and the simulation results are compared with those values obtained using NACO and PABC.

【 授权许可】

Unknown