Srikant MIsra
@giet.edu
Assistant Professor Department of Electrical Engineering
GIET University Gunupur
RESEARCH INTERESTS
Renewable Energy System Micro Grid
Scopus Publications
Scholar Citations
Scholar h-index
Scholar i10-index
Scopus Publications
Bishwajit Dey, Srikant Misra, Tapas Chhualsingh, Akshya Kumar Sahoo, and Arvind R. Singh
Elsevier BV
Srikant Misra, Bishwajit Dey, P.K. Panigrahi, and Saradindu Ghosh
Elsevier BV
S. Misra, P. K. Panigrahi, S. Ghosh, and B. Dey
Springer Science and Business Media LLC
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
Srikant Misra, P. K. Panigrahi, and Bishwajit Dey
Springer Science and Business Media LLC
Bishwajit Dey, Srikant Misra, and Fausto Pedro Garcia Marquez
Elsevier BV
Srikant Misra, P. K. Panigrahi, Bishwajit Dey, and Saradindu Ghosh
Springer Science and Business Media LLC
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.
Rakesh Sahu, Srikant Misra, Y. Bhanu Sandhya, Pratap Kumar Panigrahi, and GRKD Satya Prasad
Elsevier BV
Srikant Misra, Pratap Kumar Panigrahi, Bishwajit Dey, and Fausto Pedro Garcia Marquez
Springer International Publishing
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.
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.
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.
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.
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.
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