J. N. Bera

Bio: J. N. Bera is an academic researcher from University of Calcutta. The author has contributed to research in topics: Peak demand & Load management. The author has an hindex of 1, co-authored 1 publications receiving 1 citations.

Development of domestic load management scheme to participate in demand side integration

Abstract: Advent of Demand Side Management (DSM) is an approach towards the “load demand follows the generation”, to create a flexible and resilient system supporting multidirectional flow of power where consumer acts as a crucial agent. Effective implementation of DSM needs an advanced ICT infrastructure and thorough knowledge of system loads. This paper provides a hardware prototype and customized software to establish two way communications between consumer and utility to keep the consumer cognizant about the load usage. It also helps the utility to create a baseline with which the DSM measures will be deployed. It provides an insight towards the consumers' awareness about their overall energy usage and the usage of the connected appliances at different time through a developed algorithm in MATLAB. The simulations of residential loads are performed using PSCAD/EMTDC software through which the variation in the load curves can be observed with the different combination of loads. Prediction of baseline in advance, together with the developed hardware and software helps to reduce the peak demand with the involvement of the consumers.

Demand-side management in territorial entities based on their volatility trends

Abstract: This article explores the issues of assessing electricity consumption by individual countries and territorial entities based on their demand volatility. The current demand-side management (DSM) programs deployed in different countries of the world do not take into account individual characteristics of energy demand, which affects their effectiveness. This article describes the methodology developed by the authors to analyze demand volatility in individual countries and territorial entities using a demand volatility map. The authors introduce new indicators for assessing the electricity demand volatility such as: “Annual Load Volatility Factor,” “Daily Load Factor” and “Demand Volatility Coefficient,” which underlie a demand volatility map. The map is used to identify similar demand volatility trends among individual countries and territorial entities and offer recommendations and management decisions for decreasing volatility in the grid on the level of individual countries and territorial entities. This article presents the results of testing the methodology in the form of two demand volatility maps – one built for the EU, the other for Russia. The EEC volatility map emphasized the need for a differentiated approach to DSM in different countries. It also allowed clustering the countries and revealed states with similar trends where similar DSM models could be deployed. The Russia-wide volatility map showed the regions that are best positioned for DSM and allowed the authors to produce recommendations on DSM for similar regional groups. The results of the study have high theoretical and practical importance which manifests in their potential application for the decision-making in the field of DSM in individual countries and territorial entities, aimed at reducing energy consumption and improving energy efficiency.