A Novel Optimization Technique for Combined Economic and Emission Dispatch Problem considering Congestion Management
Background/Objective: In power systems, the dispatch of real power plays a pivotal role in mitigating the transmission congestion, yet at a very low and affordable cost. Thus, in this paper, the rescheduling of real power generation has been dealt with a view to manage the congestion in transmission. Methods/Statistical Analysis: In this paper, the congestion management in a deregulated electricity market has been endeavored for the problems of Combined Economic and Emission Dispatch (CEED) by employing a novel technique of optimization through Artificial Bee Colony (ABC) algorithm. In a real time transmission system, the congestion is an inevitable condition that occurs when the power flow in the line exceeds than that of its limit. In this work, the optimized solution for CEED problem has been obtained via ABC algorithm. An encoding scheme based on generating unit is used. Findings: By employing a robust and efficient methodology using ABC algorithm, an optimal technique on congestion management has been proposed, which takes into account of corrective re dispatch of real power through the transmission system, under the CEED environment on a restructured power system. The proposed method has been tested on an IEEE 30 bus system and their results have also been validated to show the efficacy of the proposed methodology, which throw light upon the fact that it has emerged out as an effective tool in handling the transmission congestion in a deregulated environment that results in the minimization of cost of re dispatch on one hand and in a secured operating condition on the other. Application/Improvements: This work can be extended in the future by including reactive power support, which can further minimize the total operating cost of the system.