K. Shanti Swarup

Bio: K. Shanti Swarup is an academic researcher from Indian Institute of Technology Madras. The author has contributed to research in topics: Smart grid & Relay. The author has an hindex of 13, co-authored 77 publications receiving 677 citations.

A multiobjective approach for optimal allocation of charging station to electric vehicles

Abstract: A surge of Electric Vehicles (EV) is anticipated in the market in the near future, which will pose a challenge to avail charging facilities to the EV users at affordable rates. This paper presents a Locational Marginal Pricing(LMP) based multiobjective approach for optimal charging station allocation to different types of EVs in the market. With the main objectives of minimizing the charging cost and maximizing the amount of charging, the proposed approach also maximizes the profit of EV aggregator. The multiobjective optimization problem has been solved using two different methods, namely NSGA II and MOPSO and the results are compared. The efficacy of the proposed optimization approach was demonstrated by performing analysis on the 132kV Nagpur Ringmain system. The case study results show that a significant reduction in the charging cost is possible with the two optimization methods as opposed to random allocation. A comparison between the two methods suggest that NSGA II gives better results as compared to MOPSO.

Smart distribution network restoration using multi agent system

Abstract: Distributed restoration strategy for a power system is evaluated in the present paper. This evaluates the benefit from a traditional centralized scheme in terms of speed and reliability giving economical solution to the problem. Multi agent system approach is exploited in this work to get solution faster while reducing the computational burden. Restoration problem is a multi-objective, multi-constraint problem which changes from node to node depending on their characteristics (load bus or generator bus) which can be easily incorporated in a multi agent system with individual agent requirements. This will increase the speed of restoration providing its the capability to self restore utilizing maximum capacity in given condition.

Estimation of Electronic Suppression Circuit Resistance for Protective Relaying Applications

Abstract: The transient response of instrument transformers affects the performance of high-speed relays, particularly speed and overreach in case of distance protection. Transient response of a capacitive voltage transformer depends on the type of ferro-resonance suppression circuit (FSC), i.e., active, passive, or electronic, provided in the secondary to damp the ferro-resonant oscillations. The objective of this article is not to estimate optimum resistance but to provide a systematic approach instead of the trial-and-error approach to estimate damping resistance for the electronic ferro-resonance suppression circuit used in the: capacitive voltage transformer for protective relaying application. The performance of the numerical distance relay for the: capacitive voltage transformer with estimated damping resistance in the electronic ferro- resonance suppression circuit is tested and validated in real time using a field programmable gate array.

Cyber-Physical System Enabled Smart Grid Based Optimal Controller placement

Abstract: The modern power system is evolving into a cyber-physical system with integration of information and communication technologies. Implementation of faster control and protection systems is now possible with the bi-direction fast flow of information in our power grids. In this paper, an optimal position of a centralized controller is found, for a Cyber-Physical System enabled smart grid to realize centralized control application. The model takes into consideration the delay associated with each communication line along with data congestion and node degree. This model is tested with IEEE 24 bus system, and a comparison is made based on different locations of the controllers. We identified node availability, and their respective power flows during communication line contingencies.

Wide area oscillation damping control with DFIG based wind turbines using WAMS

Abstract: The increased penetration of renewable energy sources affected the transient stability and grid resiliency. Recently several studies are reported to improve the system stability with Doubly Fed Induction Generator (DFIG) based Wind Energy Conversion System (WECS). Due to the remote location of DFIG, the local signals measured may not content the complete oscillation information of the system. This paper describes an optimization enabled Wide Area Damping Control (WADC) of DFIG to mitigate both local and inter area oscillations. The Wide Area Measurement Systems (WAMS) which includes PMUs and synchrophasors are used for centralized controller for damping inter area and local oscillatory modes. The proposed damping controller parameters are optimized along with the local Power System Stabilizer (PSS) settings for maximizing the impact on system modal damping. The proposed algorithm is verified with transient simulation in PSCAD/EMTDC for the most severe three phase solid ground fault.

Online Short-term Solar Power Forecasting

Abstract: This paper describes a new approach to online forecasting of power production from PV systems. The method is suited to online forecasting in many applications and in this paper it is used to predict hourly values of solar power for horizons of up to 36 h. The data used is 15-min observations of solar power from 21 PV systems located on rooftops in a small village in Denmark. The suggested method is a two-stage method where first a statistical normalization of the solar power is obtained using a clear sky model. The clear sky model is found using statistical smoothing techniques. Then forecasts of the normalized solar power are calculated using adaptive linear time series models. Both autoregressive (AR) and AR with exogenous input (ARX) models are evaluated, where the latter takes numerical weather predictions (NWPs) as input. The results indicate that for forecasts up to 2 h ahead the most important input is the available observations of solar power, while for longer horizons NWPs are the most important input. A root mean square error improvement of around 35% is achieved by the ARX model compared to a proposed reference model.

Particle Swarm Optimization: Technique, System and Challenges

Abstract: Particle Swarm Optimization (PSO) is a biologically inspired computational search and optimization method developed in 1995 by Eberhart and Kennedy based on the social behaviors of birds flocking or fish schooling. A number of basic variations have been developed due to improve speed of convergence and quality of solution found by the PSO. On the other hand, basic PSO is more appropriate to process static, simple optimization problem. Modification PSO is developed for solving the basic PSO problem. The observation and review 46 related studies in the period between 2002 and 2010 focusing on function of PSO, advantages and disadvantages of PSO, the basic variant of PSO, Modification of PSO and applications that have implemented using PSO. The application can show which one the modified or variant PSO that haven’t been made and which one the modified or variant PSO that will be developed.

Synchrophasor Measurement Technology in Power Systems: Panorama and State-of-the-Art

Abstract: Phasor measurement units (PMUs) are rapidly being deployed in electric power networks across the globe. Wide-area measurement system (WAMS), which builds upon PMUs and fast communication links, is consequently emerging as an advanced monitoring and control infrastructure. Rapid adaptation of such devices and technologies has led the researchers to investigate multitude of challenges and pursue opportunities in synchrophasor measurement technology, PMU structural design, PMU placement, miscellaneous applications of PMU from local perspectives, and various WAMS functionalities from the system perspective. Relevant research articles appeared in the IEEE and IET publications from 1983 through 2014 are rigorously surveyed in this paper to represent a panorama of research progress lines. This bibliography will aid academic researchers and practicing engineers in adopting appropriate topics and will stimulate utilities toward development and implementation of software packages.