Informatics Publishing Limited

Naveen Jain , Hamalata Iyar , B. K. Gupta

Abstract

no abstract

Full Text

     

Naveen Jain ¹, S. N. Singh ², S. C. Srivastava ²

Affiliations
1 Department of Electrical Engineering, College of Technology and Engineering, MPUAT, Udaipur - 313 001, IN
2 Department of Electrical Engineering, IIT Kanpur, Kanpur - 208016, IN

Abstract

This paper presents a new approach for optimal placement of Distributed Generators (DGs) utilizing a generic multi-objective performance function considering dynamic relevance (weight) factors and various levels of the DG penetration. The suggested approach can place the fixed size as well as the variable size of multiple DGs in single or multiple stage(s), considering any type of load model. The technical performance of the system, with the dynamic relevance factors is found to be better than with the fixed relevance factors approach. The effect of considering system constraints on the DG size and its location has been studied. A look up table approach is also suggested to place the DG at locations other than the most optimal one. The impact of the DG placement on the system voltage profile and line loss has also been investigated on 33-bus and 41-bus (Indian system) distribution systems. The critical cases with extreme DG output power and distribution load demand are simulated on these systems to study the technical viability of the DG planning under such circumstances.

Keywords

Distributed generation, Multi-objective function and Particle swarm optimization

Full Text

     

Naveen Jain ¹, Singh S. N. ¹, Srivastava S. C. ¹

Affiliations
1 Department of Electrical Engineering, IIT Kanpur, Kanpur - 208 016, IN

Abstract

This paper presents a new swarm intelligence method of distribution load fl ow (DLF) suitable for systems with distributed generators. The proposed DLF method is able to incorporate all kind of voltage dependent load models. This load fl ow method avoids the problems faced by various methods in handling multiple PV buses and is also suitable for small-scale, medium-scale and large-scale distribution systems. The proposed DLF method is used for placing multiple fi xed standard size capacitors. The optimal sitting and sizing of multiple DGs are also carried out utilizing a system loss reduction criterion. The proposed load fl ow algorithm is tested on distribution systems with fi xed standard size capacitor and/or DG for various load models to show its effectiveness. Some existing DG planning results are compared to show the capability and the accuracy of the proposed algorithm.

Keywords

Capacitor, Distributed Generation, Distribution System, Load Flow and Particle Swarm Optimization

Full Text