Srikant MIsra

@giet.edu

Assistant Professor Department of Electrical Engineering
GIET University Gunupur

https://researchid.co/srikantm

RESEARCH INTERESTS

Renewable Energy System Micro Grid

Scopus Publications

224

Scholar Citations

Scholar h-index

Scholar i10-index

Scopus Publications

A hybrid demand-side policy for balanced economic emission in microgrid systems
Arvind R. Singh, Bishwajit Dey, Srikant Misra, Rangu Seshu Kumar, Mohit Bajaj, and Vojtech Blazek
Elsevier BV

A hybrid metaheuristic approach to solve grid centric cleaner economic energy management of microgrid systems
Bishwajit Dey, Srikant Misra, Tapas Chhualsingh, Akshya Kumar Sahoo, and Arvind R. Singh
Elsevier BV

A swarm-intelligent based load-shifting strategy for clean and economic microgrid operation
Srikant Misra, Bishwajit Dey, P.K. Panigrahi, and Saradindu Ghosh
Elsevier BV

Economic operation of a microgrid system with renewables considering load shifting policy
S. Misra, P. K. Panigrahi, S. Ghosh, and B. Dey
Springer Science and Business Media LLC

Cost-Effective Microgrid Operation with Plug-In Hybrid Electric Vehicle Considering Demand Side Management
Bishwajit Dey, Srikant Misra, Arnab Pal, Gulshan Sharma, and Pitshou N. Bokoro
IEEE
Demand side management (DSM) lowers operating costs by dividing loads into shiftable and non-shiftable categories and rearranging the load demand model of a distribution system. Moving variable loads to hours with lower utility prices per unit allows for this. This work employs a bi-level optimization approach to lower the operational expenses of a low-voltage microgrid system that runs in grid-connected mode and uses fossil fuel generators, renewable energy sources, and plug-in hybrid electric vehicles (PHEVs). The load model is rearranged at the first optimization stage based on the DSM participation level. Subsequently, the reorganized load demand models are considered, and suggestions for distributed generator scheduling are brewed to lower the second-level microgrid system's producing expenses. The widely used differential evolution (DE) method, used for several power system optimization problems in the past, served as the study's optimization tool. The active power production cost was decreased while accounting for DSM and considering different grid participation and grid pricing systems. Like the grid, the PHEV implemented the G2V and V2G technology to charge and discharge itself which also played a vital role in decrement of the operational expense.

A metaheuristic approach to compare different combined economic emission dispatch methods involving load shifting policy
Srikant Misra, P. K. Panigrahi, Saradindu Ghosh, and Bishwajit Dey
Springer Science and Business Media LLC
AbstractDistributed generators (DGs), which can be traditional fossil fuel generators or renewable energy sources (RES), must be appropriately planned in order to reduce a power network’s overall generating cost. Renewable energy sources (RES) should be prioritized because they provide a clean and sustainable energy supply and are abundant in nature. Demand side management (DSM) optimizes the scheduling of flexible loads to reduce peak demand and improve the load factor, while keeping daily demand unchanged. The test system in this research employs a dependable and effective hybrid optimization tool to plan the DGs of a dynamic system in a way that matches low active power production costs with low pollutant emissions. The fitness functions used in the test system were non-linear due to the presence of the valve point effect (VPE). The costs and emissions were evaluated for various fitness functions which included involvement of wind, DSM, and different types of combined economic emission dispatch (CEED) methods. The test system’s peak demand was cut by 12% and the load factor was raised from 0.7528 to 0.85 when DSM technique was used. The generation cost has been reduced from $1,014,996 to $1,012,182 using CSAJAYA algorithm which was further reduced to $1,007,441 after incorporating DSM. Likewise, the CEEDppf was also observed to be reduced to $1,231,435 and $1,216,885 with and without DSM compared to $1,232,001 from reported literature. Numerical results show that both the cost and emission were reduced significantly using the proposed CSAJAYA compared to a long-sighted list of algorithms published in literature. Graphical Abstract

An efficient way to schedule dispersed generators for a microgrid system's economical operation under various power market conditions and grid involvement
Srikant Misra, P. K. Panigrahi, and Bishwajit Dey
Springer Science and Business Media LLC

Microgrid system energy management with demand response program for clean and economical operation
Bishwajit Dey, Srikant Misra, and Fausto Pedro Garcia Marquez
Elsevier BV

Optimal scheduling of distributed generators for efficient microgrid system operation for different electricity market pricing and grid participation
Srikant Misra, P. K. Panigrahi, Bishwajit Dey, and Saradindu Ghosh
Springer Science and Business Media LLC

Arithmetic Optimization Algorithm for Demand Side Management Incorporated Dynamic Economic Emission Dispatch
Bishwajit Dey, Srikant Misra, and Sujoy Das
IEEE
Toxic gases are released into the environment during electricity production by fossil fuel-powered generators. Along with encouraging the use of RES, power engineers also have a responsibility to find a compromise solution that will result in fewer hazardous gas emission when electricity is produced profitably. In order to address this challenge a numerical approach called environment constrained economic dispatch (ECED) yields a better-compromised solution among various techniques available. Demand side management, often known as DSM, is a tactic that is widely used in the industry of environmental engineering. DSM is primarily concerned with the optimisation of dispatchable loads in an effort to reduce overall energy consumption. It redistributes the load demand profile in such a way so as to lower the generation cost without curtailing the demand at any point. This paper implements a recently developed arithmetic optimization algorithm (AOA) to obtain a balance between minimum generation cost and pollutants both with and without the involvement of DSM. Numerical results claim the positive effects of DSM along with the superiority of AOA compared to some widely used algorithms in solving Dynamic Economic Emission Dispatch (DEED) problems.

Smart controller PV system for stochastic environmental condition
Rakesh Sahu, Srikant Misra, Y. Bhanu Sandhya, Pratap Kumar Panigrahi, and GRKD Satya Prasad
Elsevier BV

Intelligence Based Approach for Obtaining Trade-Off Solution Between Minimal Pollution and Cost of a Dynamic System
Srikant Misra, Pratap Kumar Panigrahi, Bishwajit Dey, and Fausto Pedro Garcia Marquez
Springer International Publishing

Demand side management integrated intelligence algorithms for dynamic economic emission dispatch of distribution systems
Srikant Misra, Pratap Kumar Panigrahi, and Bishwajit Dey
IEEE
Power distribution costs are no longer just a utility’s responsibility. Instead, in order to fulfil the soaring demand for power, the utilities place a strong emphasis on reducing the amount of harmful chemicals that are released into the environment. In this study, the distribution system for 15 units is subjected to dynamic economic emission dispatch (DEED) both with and without demand side control (DSM). Every hour, the elastic loads are ideally scheduled by DSM and moved to times when the price of power is lowest. This serves to lower the system’s peak demand, lower the cost of its generation, and raise its load factor. For the subject distribution test system, DEED is carried out using the price-penalty factor (PPF) technique and fractional programming (FP) approach, and a comparison between the two is based on which method emits the fewest hazardous and poisonous chemicals into the environment.

Economic Sizing of Grid for The Efficient Operation Of A Microgrid System
Srikant Misra, Pratap Kumar Panigrahi, Bishwajit Dey, and Saradindu Ghosh
IEEE
Microgrid (MG) systems either operate in ongrid mode or off-grid mode. There are again two types of scenarios for on-grid mode of microgrid operation. One is the active grid participation wherein the MG will both buy and sell power from the MG system as required. The other scenario is passive grid participation wherein the grid acts as a backup and delivers power only when there’s a deficit of power after being supplied by the distributed energy resources (DERs) constituting the MG system. The on-grid mode of MG operation is cheaper between the two. This paper optimally sizes the grid power commitment so as to incur the minimum generation cost of the MG system. The grid agreed to deliver 1-5 MW power as required by the MG system which already comprises of 7 DERs. Three cases were studied considering that the grid commits 1MW, 3MW and 5MW and the generation costs were evaluated. Proposed CSAJAYA was used as the optimization tool for the purpose. Numerical results show that minimum generation cost was obtained when 5MW active grid participation support was accepted from grid with same price to buy and sell power.

Smart battery management scheme for V2G based EV smart charger - A better approach of allocation of EV based distributed generation
Srikant Misra, Pratap Kumar Panigrahi, and Saradindu Ghosh
IEEE
Due to the encouraging characteristics in decreasing CO2 gas emissions, electric vehicles (EV) have acknowledged vast support in recent years. One of the clear ideas is that electric vehicle function as a distributed energy source and provide additional services to the electricity grid. In the vehicle-to-grid (V2G) model, collection of EV is used for the delivery of energy services, including supplementary services to the grid. Contribution in the V2G outline may involve supplementary charge and discharge of the EV batteries. Vehicle to grid can provide the distributed stored power in terms of rotatory reserve power to the utility grid. V2G power has the potential to revive the frequency deviance observed at the charging terminal and the required battery SOC (State-of-Charge). In case of grouping an enormous number of electric vehicles at a distribution utility grid bus, operation in V2G mode may be used for grid support during faulty situations. In this paper, the proposed vehicle control procedure scheme is executed to an electric vehicle and battery charging system. The results describe the proposed smart battery energy management prediction service considerably reduces the actual number of communications of electric vehicles with charging units and grid as well as forecasting the load demand. Simulation results show that the suggested method significantly performed the rule-based method.

Intelligent Vehicle to Grid Based Plug-in Electric Vehicle with Cloud Computing
Srikant Misra, Pratap Kumar Panigrahi, and Saradindu Ghosh
IEEE
The electric vehicle revolution is going to be the game-changer which is doing quite to reduce carbon emissions. Vehicle to Grid (V2G) is specially designed to empower the utility grid by feeding back the stored energy from batteries of the vehicles to the grid. V2G technology reflects the bidirectional power flow between the utility grid and higher thrust batteries of vehicles. When a grid needs extra power it can draw from each individual vehicle when energy is abundant. It’s a functional awareness once we consider that the maximum number of vehicles is parked in parking lots any point of time which reflects a huge amount of energy kept ideal without any use. This V2G will enables us self-sufficient by managing our own energy effectively through our process. It plays a crucial part in helping to ‘balance’ the grid. Under the scenario of a sustainable world, electric vehicles are one of the fundamental parts of the utility system by functioning as distributed energy sources in the vision of the smart grid. Electric vehicles can provide additional storage and enhance grid stability by pumping the required amount of additional power. With this process, the owner of the electric vehicle can earn some reward points in terms of cash. With the help of the electric vehicles movement in the existing grid, the amount of renewable energy inclusion to the system will be enhanced. Electric vehicles can stabilize the grid integration through penetration of return energy from the vehicle to grid during peak load time and during off-peak, it can store charge. V2G shows a significant role during load shedding. These kinds of distributed generation systems can be feasible to crucial load during an outage. This paper proposes a replacement of the traditional control arrangement of a battery system with an intelligent battery management and control system which is working in association with cloud computing. The proposed algorithm offers the computational allocation of PEV to work efficiently when the number of vehicles is more.

Validating simulation analysis of solar pv system assessment for residential buildings using homer software
Blue Eyes Intelligence Engineering and Sciences Engineering and Sciences Publication - BEIESP
The local supply and supply scheme called micro grid will become a significant chance due to the latest development of small scale distributed generators such as OV on demand side. Renewable energy structure has been far reaching due to ecological demands. The essence of the structure for renewable energy is very efficient in using distributed generation within the structure of the power scheme. The low voltage DC distribution system is becoming essential as the amount of DC applications is increasing in our regular needs. Power provided through the AC distribution mechanism of low voltage requires both AC/DC converter to delivers the DC batteries. MGs would be fitted battery like energy storage devices. Since PVs and batteries primarily operates through DC, it is possible to emphasize the benefit of the DC distribution scheme over AC production. This article recommends an ideal MG layout including AC and DC distribution device choice. This article also describes qualitatively the benefit of micro grid with DC production, termed as DCMG through housing client studies assuming different kinds of home appliances.

Optimization parameters in passive energy technologies plus its execution
B Vikram Anand, , Sujit Kumar Patro, Srikant Misra, , and
Blue Eyes Intelligence Engineering and Sciences Engineering and Sciences Publication - BEIESP
The usage of energy in households needs enlarged in the modern years owing towards the emergent call in energy used intended for heating plus cooling in households. Enrichments ought to be ready in insulation, plant, illumination plus controls. These designs endure important structures that help in the direction of achieving an energy effective household. So, the key objective of this paper is to distinguish what has been accomplished so far towards making households more supportable in terms of energy practice and what can be ready to progress the household to exploit the habit of day lighting warranting the illumination levels remain suitable for the household. So here a simulation was been done using Sketchup, Openstudio and Energy plus softwares to design and develop the house by considering the above and the results are been discussed

RECENT SCHOLAR PUBLICATIONS

A Hybrid Demand-Side Policy for Balanced Economic Emission in Microgrid Systems
AR Singh, B Dey, S Misra, RS Kumar, M Bajaj, V Blazek
iScience 2025

Cost-Effective Microgrid Operation with Plug-In Hybrid Electric Vehicle Considering Demand Side Management
B Dey, S Misra, A Pal, G Sharma, PN Bokoro
2024 IEEE 9th International Conference on Adaptive Science and Technology 2024

A metaheuristic approach to compare different combined economic emission dispatch methods involving load shifting policy
S Misra, PK Panigrahi, S Ghosh, B Dey
Environment, Development and Sustainability, 1-23 2024

A hybrid metaheuristic approach to solve grid centric cleaner economic energy management of microgrid systems
B Dey, S Misra, T Chhualsingh, AK Sahoo, AR Singh
Journal of Cleaner Production 448, 141311 2024

A swarm-intelligent based load-shifting strategy for clean and economic microgrid operation
S Misra, B Dey, PK Panigrahi, S Ghosh
ISA transactions 147, 265-287 2024

Economic operation of a microgrid system with renewables considering load shifting policy
S Misra, PK Panigrahi, S Ghosh, B Dey
International Journal of Environmental Science and Technology 21 (3), 2695-2708 2024

An efficient way to schedule dispersed generators for a microgrid system's economical operation under various power market conditions and grid involvement
S Misra, PK Panigrahi, B Dey
International Journal of System Assurance Engineering and Management 14 (5 2023

Arithmetic optimization algorithm for demand side management incorporated dynamic economic emission dispatch
B Dey, S Misra, S Das
2023 IEEE 2nd International Conference on Industrial Electronics 2023

Microgrid system energy management with demand response program for clean and economical operation
B Dey, S Misra, FPG Marquez
Applied Energy 334, 120717 2023

Optimal scheduling of distributed generators for efficient microgrid system operation for different electricity market pricing and grid participation
S Misra, PK Panigrahi, B Dey, S Ghosh
MRS Energy & Sustainability 10 (1), 126-138 2023

Microgrid system energy management with demand response program for clean and economical operation
FP Garca Mrquez, B Dey, S Misra
2023

Demand side management integrated intelligence algorithms for dynamic economic emission dispatch of distribution systems
S Misra, PK Panigrahi, B Dey
2022 IEEE 6th International Conference on Condition Assessment Techniques in 2022

Economic sizing of grid for the efficient operation of a microgrid system
S Misra, PK Panigrahi, B Dey, S Ghosh
2022 IEEE 2nd International Symposium on Sustainable Energy, Signal 2022

Intelligence based approach for obtaining trade-off solution between minimal pollution and cost of a dynamic system
S Misra, PK Panigrahi, B Dey, FPG Marquez
International Conference on Computing, Intelligence and Data Analytics, 548-563 2022

Analog/RF Performance Analysis of Downscaled Cylindrical Gate Junctionless Graded Channel MOSFET
S Misra, KP Swain, SM Biswal, SK Pati, JK Das
Advances in Intelligent Computing and Communication: Proceedings of ICAC 2022

Modeling the Next Decade of Energy Sustainability: A Case of a Developing Country. Energies 2022, 15, 5083
T Adeyemi-Kayode, S Misra, H Orovwode, A Adoghe
s Note: MDPI stays neutral with regard to jurisdictional claims in published 2022

Automatic Classification of Equivalent Mutants in Mutation Testing of Android Applications. Symmetry 2022, 14, 820
MB Kusharki, S Misra, B Muhammad-Bello, IA Salihu, B Suri
s Note: MDPI stays neutral with regard to jurisdictional claims in published 2022

Data Augmentation and Deep Learning Methods in Sound Classification: A Systematic Review. Electronics 2022, 11, 3795
OO Abayomi-Alli, R Damaševicius, A Qazi, M Adedoyin-Olowe, S Misra
s Note: MDPI stays neutral with regard to jurisdictional claims in published 2022

Smart controller PV system for stochastic environmental condition
R Sahu, S Misra, YB Sandhya, PK Panigrahi, GS Prasad
Materials Today: Proceedings 2021

Smart Battery Management Scheme for V2G Based EV Smart Charger–A Better approach of Allocation of EV Based Distributed Generation
S Misra, PK Panigrahi, S Ghosh
2020 IEEE International Symposium on Sustainable Energy, Signal Processing 2020

MOST CITED SCHOLAR PUBLICATIONS

Microgrid system energy management with demand response program for clean and economical operation
B Dey, S Misra, FPG Marquez
Applied Energy 334, 120717 2023
Citations: 105

A swarm-intelligent based load-shifting strategy for clean and economic microgrid operation
S Misra, B Dey, PK Panigrahi, S Ghosh
ISA transactions 147, 265-287 2024
Citations: 16

Comparison analysis of Green building materials and conventional materials in energy efficiency performance
S Misra, GS Prasad, N Kumar, SK Sah, S Kumar, R Maurya
International Research Journal of Engineering and Technology (IRJET) 3 (05 2016
Citations: 12

An application of genetic programming for power system planning and operation
R Behera, BB Pati, BP Panigrahi, S Misra
Int. J. Control Syst. Instrum 3 (2) 2012
Citations: 12

Intelligent vehicle to grid based plug-in electric vehicle with cloud computing
S Misra, PK Panigrahi, S Ghosh
2020 International Conference on Computer Science, Engineering and 2020
Citations: 8

Gervasi O et al
BRKSSR SK, S Misra
Software reliability assessment using machine learning technique 2018
Citations: 5

Design of Fuel cell based Co-generation systems: An approach for battery less Solar PV system
S Misra, G Satyaprasad, SS Mahapatra, A Mohanty, SR Biswal, A Dora
Int. Res. J. Eng. Technol 3, 47-50 2016
Citations: 4

Studies on the effect of usage of inert-rich coal in coal blend on coke properties through pilot oven carbonization tests
TK Das, KN Ghosh, S Misra, BK Sahoo, OS Niyogi, PK Jha, BN Prasad
Transactions of the indian institute of metals 69 (6), 1209-1216 2016
Citations: 3

EFFECT OF ENERGISERS AND FLUXES ON THE PRODUCTION OF FERROTITANIUM FROM BEACH SAND ILMENITE
RC BEHERA, M AK, S Misra
1981
Citations: 3

Smart controller PV system for stochastic environmental condition
R Sahu, S Misra, YB Sandhya, PK Panigrahi, GS Prasad
Materials Today: Proceedings 2021
Citations: 2

Strengthening of Indian education industry to avoid the economic instability
S Misra
Pinnacle des Academia, GIMS, Lucknow 2 (2), 28-33 2012
Citations: 2

Economic sizing of grid for the efficient operation of a microgrid system
S Misra, PK Panigrahi, B Dey, S Ghosh
2022 IEEE 2nd International Symposium on Sustainable Energy, Signal 2022
Citations: 1