S. T. Suganthi ¹, D. Devaraj ², S. Hosmin Thilagar ³

Affiliations
1 S.V.C. College of Engineering and Technology, Puliangudi-627 855, Tamil Nadu, IN
2 Kalasalingam University, Krishnan koil-626 126, Tamil Nadu, IN
3 College of Engineering Guindy, Anna University, Chennai-600 025, Tamil Nadu, IN

Abstract

In deregulated electricity market, Congestion Management (CM) is one of the most significant issues in order to maintain the system in secure state and to get the reliable system operation. While addressing Congestion Management voltage stability should also be taken into account. This paper elucidates an Improved Differential Evolution (IDE) algorithm to alleviate Congestion in transmission line by rescheduling of generators while considering voltage stability. Differential Evolution (DE) is one of the heuristic, population based algorithm which is well suited for solving complex and non-linear optimization problems. A Double Best Mutation Operator (DBMO) is proposed to improve DE algorithm's convergence rate. In order to validate suitability of the suggested approach, it has been evaluated on the IEEE-30 bus test system on both base case loading as well as 10% increased load. The test system has been also examined under critical line outages. The results and discussions clearly depicts the effectiveness of the projected approach in solving Congestion Management Problem.

Keywords

Congestion Management (CM), Differential Evolution (DE), Double Best Mutation Operator (DBMO), Generation Rescheduling.

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S. Sheik Mohammed ¹, D. Devaraj ², T. P. Imthias Ahamed ³

Affiliations
1 Kalasalingam University, Srivilliputhur - 626126, Tamil Nadu, IN
2 Department of EEE, Kalasalingam University, Srivilliputhur - 626126, Tamil Nadu, IN
3 Department of EEE, T. K. M. College of Engineering, Kollam - 691005, Kerala, IN

Abstract

The power output of photovoltaic (PV) cells is influenced by the environmental conditions, particularly by solar irradiation level. The irradiation level of light falling on all the cells in the module or the PV modules in an array is uneven under the cloudy weather conditions; this produces multiple peaks in the output of PV modules. It is essential to have a model of PV module in which the partial shading effect can be analyzed so that an effective Maximum Power Point Tracking (MPPT) system can be implemented for a PV system. This paper presents the modeling and performance analysis of PV modules under partial shaded conditions. A generalized PV module model is developed in MATLAB based on the mathematical equation of PV cell. The model is simulated for analysis of partially shaded cells in the PV module and also for partial shaded modules in the PV string for various weather conditions. The obtained results are satisfactory and confirm the accuracy of the developed PV module model. The developed model can be used for simulation and analysis of any PV modules under partially shaded conditions and also for development of PV power system with MPPT.

Keywords

MATLAB , Modeling, Partial shading, Photovoltaic, Simulation

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