Improving Quality of Power Supply to the Industrial Clusters around Dhaka City

Quality of power supply has three main aspects – Reliability, Power quality, and Commercial quality. The first two are related to the technical aspects of a power system and the last one is related to the quality of service provided to the customers. For Bangladesh, one of the fastest growing economy of the world, the supply of quality electricity is vitally important to meet the growing demand for electricity and to improve the country’s economic condition further. The recent growth of power generation in Bangladesh indicates that the government has successfully met the challenge of expanding the generation capacity. However, significant challenges persist. Rigorous investigation is essential to analyze the existing power supply quality. We also need to evaluate the economic cost of low power quality and how it varies across different industries to take appropriate policies. To overcome these challenges, a complete data base development and a data scientific analysis approach is necessary.

Identifying this knowledge gap, this research proposes a pilot project that aims to incorporate a data driven approach to improve the Quality of Supply (QoS) of our National Power Grid System. To achieve the goal, the study defines a set of Objective Parameters (OP) to monitor the Quality of Supply (QoS) from Big Data Analysis and Sample Survey. Initially, two commercial hubs have been selected for the pilot project, which have a high concentration of commercial industries. Load, complaint, and supply interruption data of two years from two substations and interruption data from four (depending on the availability) industrial customers will be collected and digitized. Power quality data (voltage, frequency data) will be collected by random sampling method through manual inspection from the substations. Following the data preparation, a preliminary analysis will be conducted. Industries will be categorized into different cluster based on OPs. Finally, the study will draw some policy suggestions based on the cluster analysis.

Funded by BEPRC (Bangladesh Energy and power Research Council)

Analyzing current prepaid and past postpaid consumption data of Dhaka south’s electricity users

Number of prepaid electric meter households in south dhaka

  • Measuring the change in payment and consumption behavior due to the replacing of conventional postpaid meters to prepaid meters.
  • Analyzing the consumption data of households before and after prepaid meter intervention and comparing them with households who are still using old meters.
  • We found prepaid meters effectively reduced payment delinquency. Further analysis on consumption is still under progress.


S. B. Rabbani, A. A. Ali and M. Zaber, “Does Electric Prepaid Meters Decrease Payment Delinquency? Evidence from Data Centric Analysis of Electricity Consumption in Dhaka, Bangladesh” in IEEE Region 10 Symposium (TENSYMP), Dhaka, 2020

Abstract— Prepaid electricity meters are favored by power distribution companies to improve revenue collection, debt prevention and ensure customer satisfaction. In this paper, we investigate changes in bill payments pattern of customers in Dhaka, Bangladesh who had switched from post to pre-payment meters. We collected postpaid bill and prepaid recharge payment data over there years. We specifically look into payment behavior of residential household customers to understand the effect of prepaid meters on payment delinquency. Analysis of postpaid bill indicate that at least 32% households skipped paying one or more bills over a period of one year. Households consuming 100-300 KWH accounts for almost 51% of the total delinquent households. After prepaid switch, approximately 46% of all households are making prepayments every month. 52% of households who skip paying bill and 45% of households who pay bill after due date, at least once, are now recharging every month. Overall the technological intervention shows considerable reduction of retail debts and a behavioral shift towards on time payment.