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Dive into the research topics where Surender Reddy Salkuti is active.

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Featured researches published by Surender Reddy Salkuti.


International Journal of Emerging Electric Power Systems | 2016

Coordinated Action of Fast and Slow Reserves for Optimal Sequential and Dynamic Emergency Reserve Activation

Surender Reddy Salkuti; P. R. Bijwe; A. R. Abhyankar

Abstract This paper proposes an optimal dynamic reserve activation plan after the occurrence of an emergency situation (generator/transmission line outage, load increase or both). An optimal plan is developed to handle the emergency situation, using coordinated action of fast and slow reserves, for secure operation with minimum overall cost. This paper considers the reserves supplied by generators (spinning reserves) and loads (demand-side reserves). The optimal backing down of costly/fast reserves and bringing up of slow reserves in each sub-interval in an integrated manner is proposed. The simulation studies are performed on IEEE 30, 57 and 300 bus test systems to demonstrate the advantage of proposed integrated/dynamic reserve activation plan over the conventional/sequential approach.


International Journal of Emerging Electric Power Systems | 2016

Optimum Location of Voltage Regulators in the Radial Distribution Systems

Surender Reddy Salkuti; Young Hwan Lho

Abstract In this paper, a new heuristic algorithm is proposed for the optimum voltage control, which is applicable for the large Radial Distribution Systems (RDSs). In the RDSs, voltage levels at different buses can be maintained within the specified limits using the conductor grading or placing the Voltage Regulators (VRs) and capacitors at suitable locations. The proposed Back Tracking Algorithm (BTA) proposes the optimal location, number and tap positions of VRs to maintain the voltage profile within the desired limits and decreases losses in the system, which in turn maximizes the net savings in the operation of distribution system. In addition to BTA, an approach using the fuzzy logic called Fuzzy Expert System (FES) is also proposed, and the results of FES are compared with the results of BTA. This heuristic algorithm proposes the optimal location and tap setting of VRs, which contributes a smooth voltage profile along the network. It also used to access the minimum number of initially considered VRs, by moving them in such way as to control the network voltage at minimum possible cost. It is concluded that the FES also gives the optimal placement and the number along with the tap settings of VRs. The proposed FES contributes good voltage regulation, and decreases the power loss which in turn increases the net savings when compared to the BTA. The effectiveness of the proposed heuristic approaches are examined on practical 47 bus and 69 bus Radial Distribution Systems (RDSs).


International Journal of Emerging Electric Power Systems | 2018

Multi-Objective based Optimal Generation Scheduling Considering Wind and Solar Energy Systems

Surender Reddy Salkuti; Vuddanti Sandeep; Chan-Mook Jung

Abstract This paper presents an optimum day-ahead scheduling of thermal and renewable (wind and solar photovoltaic) power generation as a multi-objective optimization (MOO) problem considering the uncertainty. System operating cost (i.e. cost of thermal, wind, solar PV and battery), reliability and emission cost are considered to be optimized simultaneously. The uncertainties due to the generator outages, wind, solar PV power and load forecast errors are incorporated in the proposed optimization problem using the Loss Of Load Probability (LOLP) and Expected Unserved Energy (EUE) reliability indices. In the proposed approach, the amount of spinning reserves (SRs) required are scheduled based on the desired level of system reliability. The proposed multi-objective optimization problem is solved using NSGA-II algorithm. Different case studies are performed considering different objective functions that may be selected by system operator (SO) based on the preference.


Electrical Engineering | 2018

Short-term electrical load forecasting using radial basis function neural networks considering weather factors

Surender Reddy Salkuti


International Journal of Electrical and Computer Engineering | 2017

Optimal Reactive Power Scheduling Using Cuckoo Search Algorithm

Surender Reddy Salkuti


Renewable Energy | 2019

Day-ahead thermal and renewable power generation scheduling considering uncertainty

Surender Reddy Salkuti


Journal of Intelligent and Fuzzy Systems | 2018

Multi-objective glowworm swarm optimization for solving the optimal scheduling of thermal-wind power system

Surender Reddy Salkuti; Young Hwan Lho


International Journal of Electrical and Computer Engineering | 2018

Optimal Placement of FACTS Controllers for Congestion Management in the Deregulated Power System

Surender Reddy Salkuti


Electrical Engineering | 2018

Short-term electrical load forecasting using hybrid ANN–DE and wavelet transforms approach

Surender Reddy Salkuti


ECTI Transactions on Electrical Engineering, Electronics, and Communications | 2018

Performance Analysis Methods in Smart Grids: An Overview

Surender Reddy Salkuti

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P. R. Bijwe

Indian Institute of Technology Delhi

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Vuddanti Sandeep

Central University of Karnataka

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