Prakash Pawar
@iiitdwd.ac.in
Department of Electronics and Communication Engineering
Indian Institute of Information Technology Dharwad, Dharwad
Scopus Publications
Scopus Publications
Prakash Pawar, Mudige TarunKumar, and Panduranga Vittal K.
Elsevier BV
Abstract The challenge in demand side energy management lays focus on the efficient utilization of renewable sources without limiting the power consumption. To deal with the above issue, it seeks for design and development of an intelligent system with day-ahead planning and accurate forecasting of energy availability. In this work, an Intelligent Smart Energy Management Systems (ISEMS) is proposed to handle energy demand in a smart grid environment with deep penetration of renewables. The proposed scheme compares several prediction models for accurate forecasting of energy with hourly and day ahead planning. PSO based SVM regression model outperforms over several other prediction models in terms of performance accuracy. Finally, based on the predicted information, the demonstration of ISEMS experimental set-up is carried out and evaluated with different configurations considering user comfort and priority features. Also, integration of the IoT environment is developed for monitoring at the user end.
Prakash Pawar and Panduranga Vittal K
Elsevier BV
Abstract The day-to-day increased usage of power appliance by consumers is a growing concern in the energy sector, which creates an imbalance in the ratio of demand and supply. Demand-side energy management is an imperative tool to avoid significant deficiency from the supply end and improve energy efficiency. The trend in energy management lays focus on reducing the overall cost of electricity without limiting the consumption counterpart by instead choosing to reduce the power consumption during peak hours. The above issue seeks for design and development of a flexible and portable system to cover a wide variety of consumers for balancing the overall system. The design of smart energy management system is intended to replace the scenario of a complete power outage in a region with partial load shedding in a controlled manner as per the consumer’s preference. Demonstration of experimental work is carried out assuming demand response event and also, considering the maximum demand limit constraint with different cases and changing the order of priority assigned to an appliance. Cost optimization algorithms based on time of usage and user comfort level with sensory information features are embedded within SEMS. Reliable ZigBee communication for home area network is established and also, an IoT environment is developed for data storage and analytics.
Prakash Pawar, , and Panduranga Vittal K
American Institute of Mathematical Sciences (AIMS)
Smart meters are intelligent next-generation energy meters which are used for measuring energy consumption and transmitting information over a network. In a real-time environment, a smart meter network faces congestion and coverage issues. To connect to the network, a network interface card (NIC) is installed for each smart meter. NICs are hardware components that link a host to a network and acts as both the physical and data link layer. Generally, a single node is connected to a NIC. We found that the use of multiple NICs in a node shows significant improvement over the use of a single NIC to overcome network congestion in a real-time environment. The line of sight (LoS) between the transmitter and the receiver is a coverage issue in a smart meter network, which leads to an increase in the packet loss ratio (PLR). In this work, we address network congestion and the coverage issue through multi-channel capability and maximum LoS with single-and multi-hop nodes respectively. The proposed multi-channel network shows two times improvement in the throughput over the regular system; with additional hardware and approximately 1.5 times lower PLR for Node. The experimental results suggest that for a single-hop node, approximately 30 m is the average distance over which LoS communication is possible, and for multi-hop nodes, the distance is 24 m.
Prakash Pawar, Shantanu Sampath, Trisha Ghosh, and K P Vittal
IEEE
In a world of diminishing energy stores and heightening economic crises, it is imperative to develop systems that diminish our dependence on non-renewable resources. There is a growing trend of Smart Home Energy Management Systems (SHE) which use smart switches to actively monitor the energy consumption by each load, the power available and other factors to switch between renewable resources and the main power grid. An extensive literature survey was conducted and results of various approaches were consolidated and analyzed. The approach detailed is a combination of the merits of all the most popular approaches. The methodology proposed hopes to carry out demand response management on both the grid power and solar power in unison. The problem was split in two: scheduling assuming only solar power is available and scheduling assuming only grid power is available. The two halves are then merged together to have the most efficient utilization of the resources available. Further, after analysing the simulation results, the validity of such a solution is presented while adhering to various real world variables.
Prakash Pawar and K P Vittal
IEEE
Home Energy Management System (HEMS) plays a crucial role in the measurement and optimization of power consumption at the consumer premises level. This work emphasis on design and development of smart socket with wireless capability, which can estimate different power parameters and accumulate the real time power consumption data of individual home appliances. A ZigBee transmitter and receiver node aids for the data communication in HEMS setup, which forms the Home Area Network(HAN). Real time data gathered at the central node can be used to prioritize and schedule the appliances. The HEMS set up can be used to create the dataset for home appliances, further dataset can be used for load disaggregation.