Tata Power Solar (India)

As the energy landscape evolves, Tata Power Delhi Distribution Limited (TPDDL) has placed customer engagement at the forefront of its strategy to create a sustainable energy system. With the rise of active consumers and prosumers—individuals who both consume and produce energy—TPDDL has introduced initiatives that enhance participation and incentivize green energy adoption. Active consumers benefit from tailored incentives, such as dedicated client managers and the Unnati program, which rewards energy-saving efforts and improves grid efficiency. Public platforms, including national celebrations, are used to recognize their contributions, fostering greater customer participation. For prosumers, TPDDL facilitates renewable energy integration through net metering, feed-in tariffs, and a dedicated cell to address technical challenges like voltage issues. These measures encourage investments in renewable energy while ensuring reliable grid access for surplus electricity supply. TPDDL’s comprehensive approach underscores the pivotal role of active consumers and prosumers in building a resilient, efficient, and sustainable energy network, highlighting the power of engagement in shaping the future of energy distribution.

The contributions of Optuna in optimizing CNNs on CIFAR-10 increase model performance by a remarkable extent. It runs gradient boosting machines against linear models of regression to check whether they improve the accuracy of residential property price prediction by handling complex relationships. GBM proves very good at handling nonlinearities and predictor interactions, hence improving the real estate value prediction. It investigates advanced methodologies for improving neural network architectures, particularly on the problems of image segmentation and real-time clustering. This includes a description of CNNs with K-means and DBSCAN clustering, online K-means algorithms, semi-supervised learning, and spatial analysis. This work demonstrates improved accuracy across a range of datasets, including MNIST and real estate data. Performance metrics have been given for deep learning in image classification and object detection using CNNs on CIFAR-10. Object Detection with YOLOv3 in OpenCV and some notions of hyperparameter tuning using Optuna to increase the quality of a CNN.

IElectrix is a response to the Horizon 2020 Call of the European Commission: “Integrated local energy systems”. Within a cooperation agreement signed by 4 European partners and TATA POWER Delhi Distribution Limited (TPDDL), Shakti demonstration is set up in Delhi to explore innovative solutions allowing the implementation of “Local Energy Communities” using local photovoltaic (PV) and storage for self-consumption approach. By 2020, with Advanced Metering Infrastructure (AMI), TPDDL is looking to broaden DR program by extending behavioural DR (BDR) program across its residential consumers. BDR hinges on consumer participation as loads will be managed entirely by them in response to critical peak pricing. With smart phones acting as the gateway to home automation solutions, use of smart plugs to control home appliances such as air conditioners and other high-power equipment can be considered to allow functions such as “set it and forget it” mode for consumers. These DR initiatives are aligned with IElectrix objectives, and some of them will be carried out in the framework of the project.

Urban air quality issues, coupled with a rising awareness of the problems associated with the world’s appetite for oil, have created interest in Electric Vehicles (EV). Tata Power has an installed gross generation capacity of 10,857 MW and a presence in all the segments of the value chain in the power sector viz. Fuel Security and Logistics, Generation (thermal, hydro, solar and wind), Transmission, Distribution and Trading. Tata Power is navigating the digital transformation of utilities to integrated solutions by looking at new business growth in EV charging. Tata Power, being a responsible utility, has been in the forefront in setting up Infrastructure in India for Electric Vehicles. This paper explains how the company has been covering areas where EV users wish to have charging stations and thereby making India truly ready to usher in the EV wave.

Conversion of water into steam is the primary function of a utility boiler. The steam pressure is used to turn a steam turbine thus, generating electricity. Within the boiler drum there exists a steam/water interface. Boiler steam drum water level is one of the important parameters of power plant that must be measured and controlled. For safe and efficient boiler operation, a constant level of water in the boiler drum is required to be maintained. Too low water level may cause damage boiler tube by overheating. On the other hand too high drum water level leads to improper function of separators, difficulty in temperature controlling and damage in superheater tubes. Turbine may also be damaged by moisture or water treatment chemicals carryover. The amount of water entering the boiler drum must be balanced with the amounts of steam leaving to accomplish the constant water level in the drum. Therefore it is extremely important to have the knowledge of the operating principles, installation requirements, strength and weaknesses of drum water level control system. Ignoring these considerations can result in misapplication, frequent maintenance, unsafe operation and poor instrument as well as system performance. In this paper design aspects and installation requirements of boiler drum level control are discussed for safe and economic operation.

Mobile banking is now an important and evolving medium for executing banking transactions. It has a huge potential in a developing country such as India. Our study explores the important antecedents of the mobile banking adoption intention of Indian customers and proposes a comprehensive framework by extending the traditional technology acceptance model (TAM). Along with the two constructs provided by TAM, four customer-oriented constructs have also been measured for this purpose. The conceptual model has been verified empirically, with the data mobilized with the help of a survey from 203 future mobile banking service users. The structural equation modeling (SEM) technique has been undertaken to establish the effect of the antecedents on mobile banking adoption intention. The results demonstrate that, together with the constructs of TAM, viz. perceived usefulness and perceived ease of use, as well as all other relevant behavioral factors, namely subjective norms, personal innovativeness, trust, and self-efficacy have exerted a statistically significant positive effect on the mobile banking adoption intention of customers. The study provides an empirical foundation, which can be useful to banking and mobile services by helping companies to formulate their marketing strategies.

Energy decentralisation is encouraged through customer empowerment within the formation of energy communities. The key enabling role of the distribution system operator (DSO) to support energy communities is however hampered by a lack of low-voltage grid digitisation and flexibility. The H2020 IElectrix project (2019–2022), co-funded by the European Commission, is devoted to solving this issue. Five DSOs (E.DIS, Enedis, Energie Güssing, E.ON EED, and Tata Power Delhi Distribution Limited) have joined with innovative solution providers and research centres, to demonstrate the combined roles of distribution grid innovations in different regulatory systems (Austria, Germany, Hungary, and India). This study focuses on innovative solutions for the Indian system, with a power sector sustenance majorly dependent on the cash flow coming from its distribution sector. Nevertheless, this is the weakest link of the power sector and faces major challenges such as the increase in the power purchase cost, high Aggregate Technical and Commercial losses, lack of cost-reflective tariffs and the energy transition. With the government's impetus towards promoting clean energy and the intermittent nature of renewables and the variability of charging electric vehicles, this requires real-time demand–supply management and network flexibility. The Indian SHAKTI pilot, located in Delhi, aims to demonstrate relevant technologies involving prosumer support.

Electricity is an essential enabler for sustainable growth of any county. In-spite of higher electricity demand, most of the distribution companies in India suffer from high AT&C loss and non-availability of technology. However, Government of India has taken important policy decisions for power sector reform and restructuring which effectively reduce the higher aggregated technical and commercial loss (AT&C) loss and ensure uninterruptable power for millions of consumers. Tata Power Delhi Distribution Limited (Tata Power DDL) is an example for power sector reform in Delhi through public private partnership. Re-engineering of business processes, enterprise resource planning, adoption of latest state of the art technologies, change management etc. help the utility to reduce overall AT&C loss from 53% to 8.54% over last 16 years of operation. Implementation of Distribution Automation is a major breakthrough for the utility in reducing system average interruption duration index (SAIDI) by faster identification of fault and restoration of supply, minimizing technical losses by Volt-Var control and dynamic shifting normal open point (NOP) which ultimately enhance consumer satisfaction level. Implementation of advance distribution management system (ADMS) with single user interface for SCADA, energy management system (EMS), distribution management system (DMS) and outage management system (OMS) ensures more network safety for remote operations as well as better consumer indexing. As distribution substations are scattered over large geographical areas, so cloud based communication is the most preferred and cost reflective solution in respect of present Indian scenario. However, use of public cloud for data transmission of automation devices requires cautious approach to implement a strong cyber security policy and to ensure periodic compliance of the same. This paper represents a holistic overview of distribution automation solution implementation in TATA Power DDL and its effective contribution for power sector reform in North and North West Delhi.

Tata Power Delhi Distribution Limited is a front runner to implement ground breaking cohesive technologies to develop a robust distribution network. Prioritization of feeder matrix to identify maintenance need, state of the art audit methodology, intelligent protection coordination and integrated distribution automation system help the organization to reduce the system average interruption frequency index(SAIFI), system average interruption duration index (SAIDI) and minimum time of fault restoration to a significant level. On the other hand, smart predictive maintenance practices like ultrasound scanning, thermal radiation scanning, breaker travel time analytics, cable signature analysis etc. help to increase average asset utilization life. Application of those modern technologies is helpful for organization capital and operational expenditure budget planning as well as future structural planning. This paper provides a holistic approach to operate and maintain a hybrid distribution network to its optimum capacity and also share some good practices followed in Tata Power Delhi Distribution Limited to increase network reliability and reduce technical losses.

A THREE-DIMENSIONAL ELASTIC-PLASTIC FINITE ELEMENT ANALYSIS (FEA) IS CARRIED OUT TO ESTIMATE THE ROLLING CONTACT FATIGUE (RCF) CRACK INITIATION LIFE FOR VARIED SLIP RANGE ON THE RAIL ARISING FROM OPERATIONAL VARIATIONS. THE WHEEL LOAD PRODUCES HERTZIAN CONTACT PRESSURE. VARIATION IN ENGINE TRACTION INDUCES SLIP VARIATIONS THAT EVOLVES THERMAL LOAD IN TERMS OF HEAT FLUX. THE APERIODIC ROLLING OF WHEEL ON RAIL DEVELOPS NON-PROPORTIONAL MULTIAXIAL FATIGUE LOADING. PRESENT STUDY COMBINES THESE EFFECTS BY TRANSLATING THE WHEEL LOAD ON RAIL FOR MULTIPLE (TWELVE) PASS IN PRESENCE OF THERMAL LOAD, CONTACT PRES-SURE AND TRACTION THROUGH A PROPOSED SIMULATION. THE TEMPERATURE DEPENDENT CHABOCHE MATERIAL MODEL WITH NONLINEAR KINEMATIC HARDENING LAW IS IMPLEMENTED TO ESTIMATE THE STRESSES AND PLASTIC STRAINS GOVERNING THE MULTIAXIAL FATIGUE CONDITION AT THE INTERFACE. THE LOCATION OF MAXIMUM VON MISES STRESS, FOUND AT A MATERIAL POINT ON OR A LAYER BELOW THE RAIL-HEAD, CONTEMPLATES THE FATIGUE CRACK INITIATION SITE. A CODED SEARCH ALGORITHM HELPS TO IDENTIFY THE CRITICAL PLANE OF CRACK INITIATION CORRESPONDING TO THE MAXIMUM FATIGUE PARAMETER (FP). IN CONTRAST TO AVAILABLE PREDICTIONS OF RCF LIFE CONSIDERING CONTACT PRESSURE AND/OR TRACTION OR FRICTIONAL HEAT IN ISOLATION, PRESENT STUDY COMBINES ALL THESE LOADS TOGETHER AND PROVIDES A MORE REALISTIC RESULT BY NUMERICAL SIMULATION.