G V Appa Rao

Scopus Publications

Advancing Economic Load Dispatch in Power Systems: A Hybrid Cuckoo Search Algorithm with Adaptive Parameter Control and Linear Regression
G V Appa Rao, K Hema Madhurl, G Rekha Devi, K Tarshini, G ANAN Dpaul, and B Hemanth
IEEE
The Economic Load Dispatch (ELD) problem is a critical facet of power system optimization, tasked with determining the optimal allocation of power generation among various units to minimize operational costs. This research introduces a novel hybrid algorithm to address the ELD problem, combining the strengths of the Cuckoo Search algorithm with adaptive parameter control and linear regression. The proposed approach aims to enhance the algorithm's convergence and solution quality, particularly variability and complexity into power systems. This paper evaluates the effectiveness of the hybrid algorithm using two test systems: the IEEE 30-bus system and the IEEE 14-bus system. These widely recognized test cases provide diverse and realistic scenarios for assessing the proposed algorithm's performance under different operational conditions. The integration of adaptive parameter control allows the algorithm to dynamically adjust its parameters during optimization, ensuring adaptability to the changing characteristics of the ELD problem. Furthermore, the inclusion of linear regression provides insights into the underlying patterns of the ELD problem, aiding in the modeling of relationships between variables. The research conducts a comprehensive analysis, comparing the proposed hybrid algorithm with existing techniques. Through extensive simulations and performance evaluations, the study demonstrates the algorithm's superiority in achieving optimal economic load dispatch, particularly when faced with the challenges posed by renewable energy sources. This paper contributes to the ongoing efforts to enhance the economic operation of power systems, addressing the evolving landscape of energy resources and fostering sustainability in the face of increasing renewable energy integration.

Solution to Economic Load Dispatch using Ant Colony Search based-Teaching Learning Optimization
Karri Ravikumar Reddy, Y V Balarama Krishna Rao, Mulaswaminaidu Madepalli, U Chandra Rao, Senthilkumar Arumugam, and G V Appa Rao
IEEE
The primary objective of this paper is to minimize power production cost by optimal allocation of generators with an equal constraint of load demand using the proposed Ant colony search based-TLBO. The Ant colony search based-TLBO algorithm furnishes sophisticated harmony between exploitation and exploration. Economical load dispatch is a non-linear problem, it contains several inequality constraints, and valve point loading are the causes, to need the optimization techniques if the function is linear several iterative methods are available and for non- linear functions also possible to apply various techniques but the main drawback in the generation cost curve functions the curve shape is not fixed due to valve point loading. In this paper, the ant colony search based-TLBO technique is proposed, and to test the stability of the proposed algorithm three different test cases are considered here:i) The standard IEEE-30 bus systemii) DG-based Industrial Corridor.iii) Gold-Copper Mine Power SystemAll these test cases have different numbers of generators as well as load centers. This is a multi-objective function and the proposed algorithm gives the optimal solution with very little time, high convergence rate, and the number of algorithm variables is very less used in it.

Economic Scheduling of Generators in an Interconnected power system
G V Appa Rao and P Rama Krishna
IEEE
In a typical power generating system cost optimization performs crucial act to deliver power to the consumers at lowest possible price. This cost optimization is achieved by proper scheduling of all available generators based on their fuel costs. This means that the real & reactive power flows of all units, allowed changing within their acceptable limits for satisfying specific load requirement at lesser operating costs. This problem is generally termed as Economic Load Dispatch. Many algorithms are there to solve this dispatching problem. The aim of this paper is to reduce operating cost by satisfying all equality and inequality constraints at various dynamic loading conditions. Differential evolution algorithm is used here to test the system having six generators with different fuel cost coefficient curves.

G V Appa Rao

RESEARCH, TEACHING, or OTHER INTERESTS

Scopus Publications

RECENT SCHOLAR PUBLICATIONS

MOST CITED SCHOLAR PUBLICATIONS