Balasubbareddy Mallala
@cbit.ac.in
Professor
Chaitanya Bharathi Institute of Technology, Hyderabad
RESEARCH INTERESTS
Power system optimization, Machine Learning, IoT, Soft computing Techniques
Scopus Publications
Scholar Citations
Scholar h-index
Scholar i10-index
Scopus Publications
Balasubbareddy Mallala, Venkata Prasad Papana, and Kowstubha Palle
Bentham Science Publishers Ltd.
Background: Customers expect quality, uninterrupted power with cost-effective electricity in the latest trend. However, outages, severe storms, old infrastructure, and cost pressures can lead to ambiguity in power generation and transmission. To improve line power transmission capability, the right flexible AC transmission systems (FACTS) device may save millions of dollars. Methods: In this study, a FACTS controller named Optimal Generalized Interline Power Flow Controller (OGIPFC) was developed. Furthermore, for optimization, the Modified Marine Predator Algorithm (MMPA), which is a modification of the recently developed Marine Predator Algorithm (MPA). The optimum technique was used to evaluate a set of prioritized considered objective minimizations. A variety of factors must be maximized, such as generation cost, emissions, and power loss. Results: The performance of the proposed algorithm was analysed on benchmark test functions, and then single objective optimization problems of standard IEEE-30 bus system were solved and compared with the existing algorithms. The proposed algorithm was restricted to solving the single objective problem only, so it was further implemented with non-dominating sorting to solve the multiobjective optimization problem. The proposed multi-objective version is named as Non-dominating Sorting Modified Marine Predator Algorithm (NSMMPA), and it was validated on benchmark test functions and the IEEE-30 bus system. Conclusion: Finally, the OPF problem was solved with the incorporation of OGIPFC using the proposed methods, which resulted in better solutions and made the system more effective in operation.
N. V. Rajeesh Kumar, N. Jaya Lakshmi, Balasubbareddy Mallala, and Vaishali Jadhav
Springer Science and Business Media LLC
Balasubbareddy Mallala
Elsevier BV
Mallala Balasubbareddy, Divyanshi Dwivedi, Garikamukkala Venkata Krishna Murthy, and Kotte Sowjan Kumar
Institute of Advanced Engineering and Science
<span lang="EN-US">Optimal power flow (OPF) solutions with generalized interline power flow controller (GIPFC) devices play an imperative role in enhancing the power system’s performance. This paper used a novel ant lion optimization (ALO) algorithm which is amalgamated with Lévy flight operator, and an effectual algorithm is proposed named as, ameliorated ant lion optimization (AALO) algorithm. It is being implemented to solve single objective OPF problem with the latest flexible alternating current transmission system (FACTS) controller named as GIPFC. GIPFC can control a couple of transmission lines concurrently and it also helps to control the sending end voltage. In this paper, current injection modeling of GIPFC is being incorporated in conventional Newton-Raphson (NR) load flow to improve voltage of the buses and focuses on minimizing the considered objectives such as generation fuel cost, emissions, and total power losses by fulfilling equality, in-equality. For optimal allocation of GIPFC, a novel Lehmann-Symanzik-Zimmermann (LSZ) approach is considered. The proposed algorithm is validated on single benchmark test functions such as Sphere, Rastrigin function then the proposed algorithm with GIPFC has been testified on standard IEEE-30 bus system.</span>
Balasubbareddy Mallala, Azka Ihtesham Uddin Ahmed, P. Venkata Prasad, and P. Kowstubha
Elsevier BV
Balasubbareddy Mallala, P. Venkata Prasad, and Kowstubha Palle
Springer Nature Singapore
Balasubbareddy Mallala, P. Venkata Prasad, and Kowstubha Palle
Springer Nature Singapore
Mallala Balasubbareddy and Ravindra Sangu
Springer Nature Singapore
M. Balasubbareddy, Kondapalli Venkata Sri Ram, and Ravindra Sangu
Springer Nature Singapore
M. Balasubbareddy, P. Venkata Prasad, and Kowstubha Palle
Springer Nature Singapore
Balasubbareddy Mallala, Venkata Prasad Papana, Ravindra Sangu, Kowstubha Palle, and Venkata Krishna Reddy Chinthalacheruvu
MDPI AG
A new optimization technique is proposed for solving optimization problems having single and multiple objectives, with objective functions such as generation cost, loss, and severity value. This algorithm was developed to satisfy the constraints, such as OPF constraints, and practical constraints, such as ram rate limits. Single and multi-objective optimization problems were implemented with the proposed hybrid fruit fly-based artificial bee colony (HFABC) algorithm and the non-dominated sorting hybrid fruit fly-based artificial bee colony (NSHFABC) algorithm. HFABC is a hybrid model of the fruit fly and ABC algorithms. Selecting the user choice-based solution from the Pareto set by the proposed NSHFABC algorithm is performed by a fuzzy decision-based mechanism. The proposed HFABC method for single-objective optimization was analyzed using the Himmelblau test function, Booth’s test function, and IEEE 30 and IEEE 118 bus standard test systems. The proposed NSHFABC method for multi-objective optimization was analyzed using Schaffer1, Schaffer2, and Kursawe test functions, and the IEEE 30 bus test system. The obtained results of the proposed methods were compared with the existing literature.
Balasubbareddy Mallala and Divyanshi Dwivedi
Elsevier BV
M. Balasubbareddy, G. V. K. Murthy, and K. Sowjan Kumar
Institute of Advanced Engineering and Science
The electric power from the system should be reliable and economical for consumer’s equipment satisfaction. An electric power system consists of many generators, transformers, transmission lines, loads, etc. For the power system network, dynamic performance and stability are important. The system is lost its stability by some disturbances i.e., load variations, generator failure, prime mover failure, transmission line outage, etc. Whenever load variations in the system, generator rotor speed will vary, means oscillations in the rotor speed, which is deviating from rated speed. The excitation system will control the generator rated line voltage. When fault occurs at any equipment in the system, the system will unstable. If fault occurs at generator, the generator oscillates. To reduce the oscillations and to make the system stable used power system stabilizers (PSS’s). Here, three types of PSS’s are used i.e., PSS1B, PSS2B, PSS4B. Comparisons of three PSS’s are on the multi machine system under some disturbance. From the observations, concluding that PSS4B is quickly control the oscillations in the physical parameters of machine in the system than other power system stabilizers.
M Balasubbareddy and Divyanshi Dwivedi
IEEE
In this paper, Current Injection Modeling of a novel FACTS Controller namely, Unified power flow controller is proposed and its incorporation into the conventional Newton Raphson load flow method is thoroughly projected for analyzing the impact of device on system parameters. Incorporation of FACTS devices employs a vital role in Optimal Power Flow problems, so a proposed Criss Cross Optimization Algorithm is implemented for single objective optimal power flow problems. The execution and feasibility of the proposed algorithm is analyzed on IEEE 30-bus power system. The obtained results which are detailed in literature show clearly the superiority of proposed algorithm over other already existing algorithms.
M. Balasubbareddy
Springer Singapore
M Balasubbareddy
IEEE
Optimal Power Flow (OPF) with FACTS devices place a vital role in power systems. In this paper, a proposed Non-dominated Sorting Hybrid Cuckoo Search Algorithm (NSHCSA) for multi objective optimal power flow problem with series FACTS devices namely Static Synchronous Series Compensator (SSSC) and Interline Power Flow Controller (IPFC) with different objective functions including the practical constraints, operating constraints and the installation cost of FACTS devices are considered for this analysis. Some heuristic rules are suggested for the optimal location of FACTS devices to reduce the number of possible locations. Cuckoo Search Algorithm (CSA) and Genetic Algorithm (GA) are combined to form the proposed Hybrid Cuckoo Search Algorithm (HCSA). The fuzzy decision making tool is used to select optimal Pareto front solution for multi objectives. The effectiveness of the proposed method is tested on IEEE-30 bus test system with FACTS devices. The results are analyzed and compared with existing methods.
M. Balasubbareddya, S. Sivanagarajub, Ch. Venkata Sureshc, A. V. Naresh Babud, and D. Srilathaa
Allerton Press
M. Balasubba Reddy, Y.P. Obulesh, S. Sivanagaraju, and Chintalapudi V. Suresh
Informa UK Limited
In this paper, a detailed power injection modelling and analysis of one of the latest Convertible Static Controllers namely, Generalised Interline Power Flow Controller is presented. This model is incorporated in the conventional Newton-Raphson load flow to analyze the effect of the device on system parameters. The effect of series and shunt converters' location is identified by placing the device either at respective sending ends or receiving ends of the transmission lines. The effect of device and its location is analysed on standard IEEE-30 bus test system.
M. Balasubbareddy, S. Sivanagaraju, and Chintalapudi V. Suresh
Elsevier BV