One Week Faculty Development Program (FDP) on “Innovative and Advance Practices in Power System & Control Engineering (IAPPSCE)” from 2nd - 7th May, 2016, was organized by ITS Engineering College, Greater Noida. This program was sponsored by A.P.J Abdul Kalam Technical University, Uttar Pradesh, Lucknow and technically Co-Sponsored by Indian Society for Technical Education (ISTE). Mr. Anuj verma (Assistant Professor, EEE) Department participated in the FDP program from Dronacharya Group of Institutions, Greater Noida.

The IAPPSCE - 2016 aims to explore the technical aspects, contemporary applications and research opportunities in machine learning techniques & application in the field of core Computer Science. Faculty got trained on basics of machine learning algorithms and it's applications in various domains. The FDP increased the horizon of faculty in Machine Learning field and inspired them to identify research problems and pursue their research work.

Objective of IAPPSCE - 2016

1. Introduction to the latest technologies used in Power System.

2. Application of Power Electronics in Power System.

3. Quantitative and Qualitative Analysis of Electric Power System.

4. Design and Analysis of controllers to be used in Power System.

5. Application of soft computing and artificial intelligence in the field of Power System and Control Engineering.

Day 1: 2nd May, 2016

On the first day, the session started with inaugural speech by Dr. Vineet Kansal, Director, ITS Engineering College followed by welcome speech by Dr. Vinay Kakkar (HOD, EEE) ITS Engineering College in which he explained the importance of innovation and advancements in power system and control engineering.

Dr. Vijendra Singh Professor, NSIT, New Delhi took a lecture on “Dynamic Control and Simulation Processess” He talked about Dynamic Control and Simulation Processes. He explained, process simulation is a model based representation of chemical, physical, biological and other technical processes and unit operations in software. Basic prerequisites are knowledge of chemical and physical properties of pure compounds and mixtures. Dr. Singh resumed the second part of session and discussed Inferential Control of distillation column. Inferential Control is used to infer and control the overhead and bottoms product compositions of a simulated multi-component distillation. Inferential control system response to various disturbances is comparable or superior to that of a tuned composition feedback control system for both single product control and for simultaneous overhead and bottoms product control.

Dr. Asha Professor, NSIT, New Delhi took the next session and explained Advance Process Control. Advance Process Control (APC) refers to a broad range of techniques and technologies implemented within industrial process control systems. Basic process controls are designed and built with the process itself, to facilitate basic operation, control and automation requirements. Advanced process controls are typically added subsequently, often over the course of many years, to address particular performance or economic improvement opportunities in the process. Advanced process controls are usually deployed optionally and in addition to basic process controls. Dr. Asha further discussed about control of distillation process. Distillation is a process of separating the component substances from a liquid mixture by selective evaporation and condensation. Distillation may result in essentially complete separation (nearly pure components), or it may be a partial separation that increases the concentration of selected components of the mixture. In either case the process exploits differences in the volatility of mixture's components. Process variables like temperatures, pressures, flow rates, levels and compositions must be monitored and controlled in all distillation processes.

Day 2 : 3rd May, 2016

On second day, Dr. Manoj Tripathi, Associate Professor, IIT Roorkee conducted a session on AMR (Automatic Meter Reading) and its benefits. Automatic meter reading (AMR) is the technology of automatically collecting consumption, diagnostic and status data from water meter or energy metering devices (gas, electric) and transferring that data to a central database for billing, troubleshooting, and analyzing. This technology mainly saves utility providers the expense of periodic trips to each physical location to read a meter. AMR technologies include handheld, mobile and network technologies based on telephony platforms (wired and wireless), radio frequency (RF), or power line transmission.

Dr. Manoj further discussed the advantages of AMR. Advance metering systems can provide benefits of utilities for retail providers and customers. Benefits of Utilities is increased efficiencies, outage detection, tamper notification and reduced labor cost as a result of automating reads, connections and disconnects. With the meter data being readily available, more flexible billing cycles would be available to their customers instead of following the standard utility read cycles. Timely usage information available to the customer, will assure to manage energy consumption and change from on REP to another with actual meter data. Because of these benefits, many utilities are moving towards implementing some types of AMR solutions.

The next session was taken over by Dr. Prerna Gaur, Professor, NSIT, New Delhi,who talked about Intelligent Motion Control on Permanent Magnet AC Motors. She explained that PMAC motor has a sinusoidally distributed stator winding to produce sinusoidal back-electromotive force (EMF) waveforms. Back EMF is voltage that opposes the current that causes it and arises in any electric motor when there is relative motion between the current-carrying armature (whether rotor or stator) and the external magnetic field. She also discussed Fuzzy logic based speed control of PMAC motor. Fuzzy logic controller does not require any mathematical model and is based on the linguistic rules obtained from the experience of the system operator. Dr. Prerna in her second session talked about Maximum Power Point Tracking (MPPT) of Photo-Voltaic system. Power delivered by a PV system of one or more photovoltaic cells is dependent on the irradiance, temperature, and the current drawn from the cells. MPPT is used to obtain the maximum power from these systems by putting power on the grid, charging batteries or powering an electric motor. There are many different approaches for maximizing the power from a PV system, this ranges from using simple voltage relationships to more complex multiple sample based analysis. Depending on the end application and the dynamics of the irradiance, the power conversion engineer needs to evaluate the various options.

Day 3 : 4th May, 2016

Dr. N. K. Jain Professor, DTU, New Delhi conducted the session on third day and delivered lecture on Particle Swarm Optimization & its Applications. Particle Swarm Optimization (PSO) is a computational method that optimizes a problem by iteratively trying to improve a candidate solution with regard to a given measure of quality. It solves a problem by having a population of candidate solutions, here dubbed particles, and moving these particles around in the search-space according to simple mathematical formulae over the particle's position and velocity. Dr. Jain in his second session talked about Economic load dispatch. Economic load dispatch is the short-term determination of the optimal output of a number of electricity generation facilities, to meet the system load, at the lowest possible cost, subject to transmission and operational constraints. The Economic Dispatch Problem is solved by specialized computer software which should honor the operational and system constraints of the available resources and corresponding transmission capabilities.

Dr. Anwar Siddique Associate Professor, JMI, New Delhi was the another keynote speaker who delivered his lecture on SCADA & its applications in Power System on third day. SCADA (Supervisory Control & Data Acquisition) is a system for remote monitoring and control that operates with coded signals over communication channels (using typically one communication channel per remote station). The control system may be combined with a data acquisition system by adding the use of coded signals over communication channels to acquire information about the status of the remote equipment for display or for recording functions. It is a type of industrial control system (ICS). Industrial control systems are computer-based systems that monitor and control industrial processes that exist in the physical world. Dr. Anwar in his second session discussed the applications of SCADA. The term SCADA (Supervisory Control and Data Acquisition) usually refers to centralized systems which monitor and control entire sites, or complexes of systems spread out over large areas (anything from an industrial plant to a nation). SCADA implementation of power system improves the overall efficiency of the system for optimizing, supervising and controlling the generation and transmission systems. SCADA function in the power system network provides greater system reliability and stability for integrated grid operation.

Day 4: 5th May, 2016

On fourth day, Dr. M. M. Tripathi Associate Professor, DTU, New Delhi delivered lecture on Smart Grid Communication & Security Challenges. Smart Grid is an electrical grid which includes a variety of operational and energy measures including smart meters, smart appliances, renewable energy resources, and energy efficiency resources. Electronic power conditioning and control of the production and distribution of electricity are important aspects of the smart grid. The bulk of smart grid technologies are already used in other applications such as manufacturing and telecommunications. Integrated communications will allow for real-time control, information and data exchange to optimize system reliability, asset utilization, and security. Dr. Tripathi, in his next lecture discussed Cyber Security of Smart Grids. Cyber Security is referred to as information technology security, focuses on protecting computers, networks, programs and data from unintended or unauthorized access, change or destruction. Smart grid cyber security must address not only deliberate attacks, such as from disgruntled employees, industrial espionage, and terrorists, but also inadvertent compromises of the information infrastructure due to user errors, equipment failures, and natural disasters.

Dr. G. L. Pahuja (Professor & Head, NIT, Kurukshetra) delivered his lecture on Reliability Engineering. Reliability Engineering is engineering that emphasizes dependability in the lifecycle management of product, dependability, or reliability, describes the ability of a system or component to function under stated conditions for a specified period of time. Reliability Engineering represents a sub-discipline within systems engineering. He further discussed the Modeling of Reliability. Reliability Modeling is the process of predicting or understanding the reliability of a component or system prior to its implementation. Two types of Reliability modeling is Fault Tree Analysis and Reliability Block Diagrams. Fault tree Analysis (FTA) is a top down, deductive failure analysis in which an undesired state of a system is analyzed using Boolean logic to combine a series of lower-level events. A Reliability Block Diagram (RBD) is a diagrammatic method for showing how component reliability contributes to the success or failure of a complex system. RBD is also known as a dependence diagram (DD).

Day 5: 6th May, 2016

Dr. Tariqul Islam Associate Professor, JMI, New Delhi took the first session on fifth day. He delivered his lecture on Surface Acoustic Wave Sensor (SAW). (SAW) is an acoustic wave traveling along the surface of a material exhibiting elasticity, with an amplitude that typically decays exponentially with depth into the substrate. Surface acoustic wave sensors are a class of Micro Electro Mechanical Systems (MEMS) which rely on the modulation of surface acoustic waves to sense a physical phenomenon. Dr. Islam further talked about SAW sensors. Chemical vapor sensors use the application of a thin film polymer across the delay line which selectively absorbs the gas or gases of interest. An array of such sensors with different polymeric coatings can be used to sense a large range of gases on a single sensor with resolution down to parts per trillion, allowing for the creation of a sensitive "lab on a chip”.

The next session was taken over by Dr. P.C. Pant Scientist, Ministry of New & Renewable Energy, New Delhi who delivered lecture on Renewable Energy Perspective in India & Energy Storage. He explained that a country’s economic progress majorly depends upon its energy resources. With the increasing danger posed by pollution, there is an urgent need to shun the excessive use of pollution releasing conventional sources of energy and switch over to environment friendly options like the renewable energy resources. Renewable energy is the energy that comes from replenishable energy sources such as sunlight, wind, etc. There is a large potential for renewable energy in India. It has been estimated that India’s renewable energy production amounts to a total of over 100,000 MW . Ministry of New and Renewable Energy is fully dedicated & assisted by a number of state nodal agencies that work to enhance India’s position in the area of use of renewable energy sources. The ministry works in coordination with various NGOs and village development societies to outstretch the renewable energy programmes to every corner of the country.

Day 6: 7th May, 2016

On the last day, valedictory session was taken by Mr. Manish Kumar Assistant Professor, ITS Engineering College who summarized the program. The Faculty development Program Convener Dr. Vinay Kakkar addressed the participants and discussed about the benefits and take away from the programme. After the completion of this faculty development Program, the participant would be able to understand the fundamentals of the Power System and Control Engineering.

At the end, Participation Certificates were distributed and programme ended with Vote of Thanks by FDP Coordinator Mr. Upendra Kr. Agarwal.

Some Glimpses