Chandrasekhar Yammani

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This paper presents an algorithm for optimal placement and size of the Distributed energy resources (DERs) considering system loss minimization and voltage profile improvement as objective functions. DERs are the energy resources which contain renewable energy resources such as wind, solar and fuel cell and some artificial models like micro turbines, gas(More)
Electrical power consumption is increasing day by day, complicating the operation of distribution systems. Distributed Energy Resource (DER) integration in distribution system is one of the options which give benefits like loss minimization, peak shaving, over load relieving and improved reliability. This paper presents an algorithm for optimal placement(More)
In this paper, a method which employs Modified Teaching-Learning Based Optimization (MTLBO) algorithm is proposed to determine the optimal placement and size of Distributed Energy Resources (DERs) units in distribution systems. DERs are commonly connected near the load in electric power distribution systems and include renewable energy sources such as wind(More)
Power system is undergoing profound changes such as Distributed Generation, microgrid and then Smart Grid. One of the biggest challenges in it is integration renewable energy sources with conventional DGs for reliable operation of microgrid. An optimization algorithm for reducing total cost considering inter-area power flow limit and reserve capacities is(More)
Distributed Generations (DGs) integration in distribution system is one of the options which give benefits like loss minimization, peak shaving, over load relieving and improved reliability. This paper presents a method for optimal placement and size of the DGs considering system loss minimization and voltage profile improvement as objective functions. The(More)
In this paper a new optimization algorithm is proposed for optimal planning of the Distributed generation (DG's) with renewable bus available limit constraint. Distribution system objectives considered for optimization are Active and reactive power losses minimization, bus voltage profile improvement, and line flow capacity limits. Power system modeled(More)
In this paper a new and efficient hybrid optimization algorithm is proposed for optimal placement and sizing of the Distributed Generations (DGs). Bus voltage profile improvement, line flow capacity, active and reactive power loss minimization are considered as multi-objectives to optimize under various distribution load conditions. Renewable energy(More)
This paper presents various aspects of optimal Phasor measurement unit (PMU) placement problem with load sensitivity analysis. Binary integer linear programming based methodology for optimal placement of PMU in a given power network for full observability of that network is presented in this paper. First, complete observability of the given network is(More)
A new hybrid Multi-objective Shuffled Bat optimization algorithm is proposed in this paper for Distributed generations (DGs) optimal placement and sizing. Multiple objectives like system power losses, cost of DG and system voltage profiles are considered to evaluate the impact of DG placement and sizing for an optimal development of the distribution system(More)
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