| Summary: | Congestion in the power system can result from progressing load in the power system. This phenomenon may cause system instability which leads to failure in power delivery to the consumer. Thus, congestion management needs to be performed in power system operation and planning. This initiative will require a robust optimization technique so that power failure can be avoided. This paper presents Integrated Accelerated Mutation Evolutionary Programming for Congestion Management in Power Systems. In this study, a new optimization technique is introduced termed Integrated Accelerated Mutation EP (IAMEP). IAMEP is utilized to identify the optimal sizing and locations for distributed generation installation as an option to manage the congestion in the power system. A pre-developed voltage stability index, FVSI is utilized as the indicator for congested lines. Validation on the IEEE 30-Bus RTS demonstrates that the proposed technique managed to reduce the congestion in the power system. A comparative study with EP also reflects its superiority in managing the congestion phenomenon. A significant result which can be highlighted in this paper is the post-DG installation at Qd30 = 25 MVAR, optimized using IAMEP worth 0.4960 from its pre-DG installation of 0.5349. Using EP, it can only manage to reduce it to 0.4980. In voltage security study this is significant and convincing. The result would be beneficial to power system operators and planners for their transmission system management. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.
|
|---|