INNOVATION CHALLENGE

MI GLOBAL PARTNERS

Mission Innovation (MI) is a global initiative of 22 countries and the European Union to dramatically accelerate global

clean energy innovation. As part of the initiative, participating countries have committed to double their governments clean energy research and development (R&D) investments over five years, while encouraging greater levels of private sector investment in transformative clean energy technologies.

MI GLOBAL PARTNERS

Mission Innovation (MI) is a global initiative of 22 countries and the European Union to dramatically accelerate global

clean energy innovation. As part of the initiative, participating countries have committed to double their governments clean energy research and development (R&D) investments over five years, while encouraging greater levels of private sector investment in transformative clean energy technologies.

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Salient features of MI-India IC#1 :• Public investment of 5 million USD.

• 115 Notification of Intent received from 112 Indian institutions and 45 foreign institutions from

14 countries.

• 28 Notification of Intent shortlisted from the received notices.

• Nine projects are awarded to Indian institutions in collaboration with foreign institutions.

INDIA’S MI JOURNEY in IC#1 ...

1 Mission InnovationAnnouncement

2Mission Innovation

Workshop in London

52nd International Workshop on MI challenge at New

Delhi

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Nov 30th 2015

3rd Workshop on MI challenge at

Malmo

Nov 16th-20th 2017

May 23rd-24th 2018Sep 28th-30th 2016

3 MI-INDIA Workshop at IIT Delhi

May 22nd 2017

Smart Grids Innovation Challenge Identified

India as Co-Lead

R&D Objectives are Finalized

4 1st Workshop on MI Challenge at Beijing

June 6th-8th 2017

Funding Opportunity Announcement &

Country Report Released

Announcement of first MI-INDIA IC#1

Projects

New Delhi Declaration

MI-INDIA IC#1 PROGRAMMES AT A GLANCE

Demonstration of MW scale Solar energy Integration in weak grid using

Distributed Energy Storage architecture (D-SIDES)

Developing a prosumer driven integrated smart grid

Mix energy source Electric Vehicle

charging system design and its impact

on Indian smart distribution grid

SMART Planning and Operations of grids with Renewables and Storage

(SPOReS)

AlGaN/GaN power transistor based platform technology and modules for

smart grid applications

Stability analysis, protection, and coordinated control of networked

microgrids

Research and development of Smart,

Secure, Scalable, Resilient and Adaptive Cyber-

Physical Power System(S3RA-CPPS)

Design and development of hybrid renewable energy

microgrid with value chain applications for agriculture &

dairy farm

Demonstration of grid supportive EV

Charger and charging Infrastructure at LT

Level (D-EVCI)

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Standardize procedure of design, analysis and deployment of distributed energy storage systems in solar integrated weak distribution networks

which will transform solar integrated weak distribution network into robust smart distribution grid utilizing distributed energy storages.

VISION

Reducing the voltage and frequency fluctuations at point of common coupling in distribution network caused by large penetration of PV and dynamic loads

Harvesting maximum energy from PV through integration of DES

Increasing the reliability of power supply in weak distribution system

Enhancing ancillary services to the conventional grid by providing virtual inertia and fault ride through capability with the PV inverter

Transforming the passive low voltage distribution network into active and controllable smart distribution grid by establishing communication between the substations and the control center

OUTCOMES

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INTERNATIONALNATIONAL

PROJECT TEAM

Demonstration of MW scale Solar energy Integration in weak grid using Distributed Energy Storage architecture (D-SIDES)

IIT RoorkeeDr. N. P. PadhyDr. M.K. PathakDr. Premalata jenaDr. Yogesh Vijay HoteDr. Ganesh KumbharDr. P. M. Pradhan

Ricerca Sistema EnergeticoDr. Luciano Martini

Chinese Academy of SciencesDr. Yibo wang

BVRIT Hyderabad College of Engineering for WomenDr. Ch. Sunil Kumar

Ryerson UniversityDr. Bala Venkatesh

IIT DelhiDr. Sukumar MishraDr. Ashu Verma

Modeling of typical low voltage distribution network - component level and system level

Real time analysis of weak distribution network with solar integration- (i) Planning & deployment of monitoring system(ii) Real time analysis

Optimization of DES and PHIL simulation-(i) Optimization techniques for mixed storage devices(ii) PHIL simulation of DES integrated distribution system

Deployment of Distributed Energy Storage

Ancillary services(i) Virtual Inertial emulation and reactive power support(ii) Fault ride through capability

Analysis of the solar integrated distribution network

Emulation of interfacing energy storage systems in solar integrated weak grid

Physical integration of Energy storage system

Virtual inertia emulation in distribution network

METHODOLOGY

DEMONSTRATION

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Develop and demonstrate a block-chain based peer to peer energy sharing and trading platform that enables consumers to manage their home

or industrial energy needs and take control of their energy sourcing, while achieving higher energy security, enhancing renewable energy share and increasing commercial viability through enhanced energy efficiency measures.

VISION

Development of a robust alternative decentralized mechanism in power trading which will facilitate prosumer centered trading between peers which is non-existent today owning to lack of decentralized approach of record keeping

Develop protocol and framework for distributed power management and dynamic trading among stakeholders through an integrated contract management system and operating within boundary limits of expected regulatory regime in near future, facilitated through tools such as block-chain

Software for peer to peer power trading at granular level with end prosumers who have various forms of load and generation systems

Proof of concept for peer to peer power trading between prosumers at a community or DSO level and demonstrate the behavior of various prosumers and energy stakeholders under various customized and developed scenarios

OUTCOMES

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NATIONAL INTERNATIONAL INDUSTRY

PROJECT TEAM

Developing a Prosumer driven integrated Smart Grid

IIM AhmedabadDr. Amit GargDr. Rekha JainDr. Manish Aggarwal

IIT GandhinagarDr. N. M. PindoriyaDr. Vimal Mishra

Florida International UniversityDr. S. S. Iyengar

MS Ramaiah Institute of TechnologyDr. Pradip Kumar DixitDr. Viswanath TalasilaDr. T. V. Suresh KumarDr. Manish KumarDr. M. Mrunalini

Defining the project boundaries and understanding the current regulatory and policy framework of electricity sector

Review of existing literature and international projects

Defining and developing the architecture of decentralized block-chain mechanism for P2P trading Define test beds and use cases that would be internally tested using the P2P trading tool

Conducting a field test case for the product developed under a community/DISCOM based set up

Validate integration of basic battery management system and simulations of home energy system

Capacity building, workshops and review of available literature as well as prototyping emerging future energy system, field surveys, data collection and coordination

Protocol, framework and architecture development for peer to peer dynamic trading

Develop software platform for contract management, data acquisition, event scheduling, compliance monitoring and settlement mechanisms

Proof of concept and field demonstration

METHODOLOGY

DEMONSTRATION

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Electricity Delivered

FinancialPowerInformation

Transaction Initiated

Transaction being verified by Network

Transaction approved by network

Transaction Completed

Data block integrated with exsisting chain

Transaction recorded as Data block

As India plans to have significant Electric Vehicles in mainstream use, chargers will play an important role in the success of

this idea. This project will try to answer a part of this question by looking into the optimal EV charger suitable for Indian condition.

VISION

Design and deployment of Level 2 (AC) and combined charging system

Design and deployment of hybrid input DC Fast charger(a) with multi‐input source and single‐output(b) with 5‐10 kW output EV charger for E‐Rickshaws(c) universal charger design and implementation

Impact study of storage on EV chargers

Study the impact of EV chargers on Indian distribution system

Techno‐economic study of EV chargers

OUTCOMES

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INTERNATIONALNATIONAL

PROJECT TEAM

Mix-Energy-Source Electric Vehicle Charging System Design and its Impact on Indian Smart-distribution-grid

IIT KanpurDr. Shantanu K. Mishra

University of TexasDr. Saraju P. Mohanty

Virginia TechDr. Khai D. T. Ngo

Concordia UniversityDr. Akshay K. Rathore

Imperial College LondonDr. Balarko Chaudhuri

IIT KharagpurDr. Souvik Chattopadhyay

IIT BHUDr. Rajeev K. Singh

Design and development of EV charger with multiple energy sources (renewable energy) as input

Incorporation of protection and communication features to the EV charger

In order to provide faster charging of the EV battery a super capacitor is interfaced to the system

Design lab scale prototype and the design will be implemented and pilot will be deployed by General Electric

Tries to carry out study the impact of EV on our distribution grid

Design and implementation of DC fast chargers for E-Rickshaw of 5-10 kW rating

Study of impact of storage on EV charger design

Study of EV charger impact on distribution grid carried out on RTDS simulator & its techno-economic impact

Design and implementation of an AC Level 2 charger with 6.6 kW rating and DC level 1 36kW rating charger for charging of each EV

Develop optimal battery charging technique and protection features under multi-car charging condition

METHODOLOGY

DEMONSTRATION

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Use cases of the planning tool for evaluate resource plans and storage siting/sizing in Indian systems

Lab-scale demonstrations of the brown box deployment and simulation experiments to demonstrate its utility-scale impact

Simulations to demonstrate effectiveness of storage control

Hardware-in-loop demonstration of ``inertia on demand’’ concept and simulation experiments illustrating the system-wide impacts

Simulations to demonstrate how the SMART signalling framework can coordinate the supply, demand and storage resources during normal and contingency situations

Facilitate planning for reliability and affordability along with balancing of grid supply with storage, distributed loads and power electronic

controllers. Our solutions will leverage the SMART principle through judicious sensing, drawing meaningful inferences from the environment, analyzing the past and present and responding in a timely fashion.

VISION

SMART planning tool for guiding capacity additions, storage sizing, siting, network expansion and policy making

SMART brown box to facilitate load prioritization under a generation deficit scenario, thus curtailing load voluntarily instead of facing a complete blackout

SMART storage manager to dictate storage charging/discharging to compensate for RE variability, and improve energy access and power quality for end-users

SMART inertia controller to enable RE resources to provide inertia equivalent to 5-10% of the resource rating

SMART signaling framework to coordinate the generation, demand and storage operating levels under normal and emergency conditions

OUTCOMES

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INTERNATIONAL INDUSTRYNATIONAL

PROJECT TEAM

SMART Planning and Operations of grids with Renewables and Storage (SPOReS)

IIT BombayDr. K. Ramamritham Dr. Anupama Kowli

University of WaikatoDr. Mark Dyer

University of MassachusettsDr. Prashant Shenoy

TU MunichDr. Samarjit Chakraborty

Gujarat Energy and Research InstituteDr. Akhilesh Magal

Use cases of the planning tool for evaluate resource plans and storage siting/sizing in Indian systems

Lab-scale demonstrations of the brown box deployment and simulation experiments to demonstrate its utility-scale impact

Simulations to demonstrate effectiveness of storage control

Hardware-in-loop demonstration of ``inertia on demand’’ concept and simulation experiments illustrating the system-wide impacts

Simulations to demonstrate how the SMART signalling framework can coordinate the supply, demand and storage resources during normal and contingency situations

Develop the planning tool using game theory and data-driven modelling and apply it towards resource planning

Devise algorithms for equitable distribution of restricted supply at utility and end-user levels and design the SMART brown box prototype

Leverage stochastic control techniques to devise storage control algorithms

Design power electronic converters for variable inertial emulation and investigate the coordination problem amongst different converters

Apply techniques from optimization, stochastic control and welfare economics to design SMART signalling framework

METHODOLOGY

DEMONSTRATION

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To develop GaN enhancement and depletion modes high electron mobility transistor based platform device

and technology meeting the needs for electric smart-grid particularly in the context of distribution and end-use utilization.

VISION

E-mode HEMT with 100-600 V voltage, 5-30 A current,100 mΩ resistance

5 V required gate drive, upto 100 kHz switching frequency, fast fall and rise times, zero reverse recovery loss

DC-DC converter - Power rating of 250 W and 48 V for solarPV integration to existing grid

Solid-state circuit breaker prototype: 6 kW, 380 V and16 A using D/E-mode HEMTs

OUTCOMES

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INTERNATIONAL INDUSTRYNATIONAL

PROJECT TEAM

AlGaN/GaN Power Transistor Based Platform Technology and Modules for Smart Grid Applications

IIT BombayDr. B. G. FernandesDr. D. SahaDr. S. Ganguly

University of SheffieldDr. S. Madathil

The platform technology will be developed on E-mode and D-mode GaN HEMTs

Two in-house systems will be developed : DC-DC converter for PV integration and solid-state circuit breaker

The design and integration will be carried out in a tight loop with the platform technology development

The modules will be tested in the field as a system/sub-system

The entire cycle will be properly recorded and shared with the institutions for future developments on this technology D-mode HEMT based

platform meeting the needs for electric smart-grid particularly in the context of distribution and end-use utilization

Development of prototype modules for DC-DC converter

Development of bi-directional solid-state circuit breaker

Various simulation tools, power device/circuit model, fabrication processes, and methodology will be developed

The platform device and technology and prototypes will be further tested in industrial environment

METHODOLOGY

DEMONSTRATION

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The project focuses on understanding the stability problems of networked microgrids, their control in a coordinated manner, and

the associated protection. The developed algorithms will be field-deployable, as they will be tested and validated on a field pilot augmented with an already existing smart distribution system in the host institute.

VISION

New/Upscaled Process : Algorithms for enhanced primary and secondary control of microgrids, for coordinated control of networked microgrid and schemes for adaptive protection of networked microgrids

New/ Upgraded System : Field pilot consisting of two interconnected microgrids

Services (including software): Secondary control codes of RES converters to be embedded into the distribution management system software

Codes for adaptive protection, to be embedded into the numerical relays

Performance analysis (Scientific data generation): Report on stability analysis and classification, protection, and coordinated control of networked microgrids

OUTCOMES

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NATIONAL INTERNATIONAL INDUSTRY

PROJECT TEAM

Stability analysis, protection, and coordinated control of networked microgrids

IIT KanpurDr. Saikat ChakrabartiDr. Sandeep AnandDr. Soumya Ranjan SahooDr. Abheejeet Mohapatra

IIT KharagpurDr. Ashok Pradhan

Curtin UniversityDr. Arindam Ghosh

NTPC Energy Technology Research Alliance (NETRA)

University of SaskatchewanDr. Ramakrishna Gokaraju

Memorial University of NewfoundlandDr. Xiaodong Liang

Stability analysis of networked microgrids

Distributed control of networked microgrids

Adaptive protection of networked microgrids

Testing and validation

Proposed sites for implementing the pilot as part of the Indo-US project funded by DST and lead by IIT Kanpur, are Nunaha Narsing and Cherry Nevada, within Choubepur village near IIT Kanpur campus

Proposed to install 200 kW PV in the village, with two centralized battery storages of 150 kWh and 50 kWh

A biomass based generating system of 30 kW also proposed to be installed at the site

PV and biomass generation, along with the storage, will improve the voltage profile and provide backup power

METHODOLOGY

DEMONSTRATION

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Cyber security solutions including artificial intelligence and machine learning based proactive real-time Intrusion Prevention Systems (IPS) and

Intrusion Detection Systems (IDS), network and device-based segmentation, controlled wireless propagations, and authentication techniques.

VISION

Design and development of cyber-physical test bed

Updated operational technology with advanced intrusion/anomaly detection techniques to secure the application and control layer of the smart grid

Design and implementation of network management solutions for managing and enforcing policies for thousands of devices in the smart grid

Threat modeling and mitigation techniques for the attacks on protection relays

A complete smart cyber security solutions will be delivered for smart grid considering all critical securing domains i.e. physical, application, infrastructure, and information

OUTCOMES

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INTERNATIONALNATIONAL

PROJECT TEAM

Research and Development of Smart, Secure, Scalable, Resilient and Adaptive Cyber-physical power system (S3RA-CPPS)

IOWA State UniversityDr. M. Govindarasu

Howard UniversityDr. D. B. Rawat

IIT DelhiDr. B. K. PanigrahiDr. Brejesh LallDr. Kolin PaulDr. M. BhatnagarDr. S. R. SarangiDr. Ranjan Bose

Memphis UniversityDr. D. Dasgupta

INDUSTRY

IIT KanpurDr. S. K. Shukla

Thapar UniversityDr. Neeraj

Vardhaman College of EngineeringDr. D. Raman

UMBCAnupam Joshi

Risk modeling Communication network simulation and network traffic generation

Risk analysis, anomaly detection, and identification system

Malware analysis, modeling, classification, and mitigation

Smart and secure Advanced Metering Infrastructure (AMI)

Risk modelling and development of RTDS test bed with standard protocols

OPNET based communication network simulation and network traffic generation

Analysis for risk assessment, energy management and real time cyber attack identification

Development of honeypots for power system relay to capture malware

Development of multiagent based distributed control and computation for more secure and intelligent smart meter infrastructure

METHODOLOGY

DEMONSTRATION

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To develop strategies for the optimization and control of IoT based EV charging facilities and smart EV charger with the following

capabilities: V2G and G2V, net metering and inertial response

VISION

Proof of new concepts at a device and system level while creating IoT based EV charging infrastructure

Demonstration of V2G and G2V control strategies

DMS for Optimal EV charging/discharging

Demonstrate communication between different entities in the system

Human resource building

OUTCOMES

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INTERNATIONALNATIONAL

PROJECT TEAM

Demonstration of Grid Supportive EV Charger and Charging Infrastructure at LT Level(D-EVCI)

IIT DelhiDr. Sukumar MishraDr. Ranjan K. MalikDr. Ashu Verma

INDUSTRY

DTUDr. Vishal Verma

NTNUDr. Marta Molinas

Thapar UniversityDr. Mukesh Singh

SRKR Engineering CollegeDr.G.P. Saradhi VarmaDr. I. HemalathaDr. N.G. Krishna Murthy

Design and development of smart bidirectional EV chargers with/without photovoltaic

Development of bi-directional metering for V2G and G2V concepts

Optimization strategies for transformer and feeder load management enabling DSM

Development of IoT based communication infrastructure for EV charging stations

Demonstration of the charging infrastructure on real feeders under various test conditions in India

Charging algorithms to control EV charging/discharging will be formulated and tested

The project will demonstrate using efficient control strategies that grid support can be provided

Demonstrate communication between different chargers

IoT Interface (mobile application/website) between EV users and charging stations

The field demonstration of the charger up to 40 kW

METHODOLOGY

DEMONSTRATION

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Efficient integration of diverse renewable energy sources viz. SPV, bio-gas and battery storage in a microgrid in limited grid mode to economically

strengthen the farmer as well as address the environment concern.

VISION

Solar Agriculture farm with multiple land use

Viable & business models for solar agriculture farms to increase the net land yield for farmers

Novel topology with hybrid AC-DC grid for integrating diverse renewable sources and improvement in plant utilization factor

Solar powered agricultural equipment which are traditionally operated using diesel viz. thrashers

Solar powered cold storage plant

Solar powered milk and cream pasteurization

Utilization of dairy bio-waste to produce electric power

Establishment of hybrid microgrid test system

OUTCOMES

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INTERNATIONALNATIONAL

PROJECT TEAM

Design and Development of Hybrid Renewable Energy Microgrid with Value Chain Applications for Agriculture & Dairy Farm

IIT RoorkeeDr. Barjeev TyagiDr. Vishal KumarDr. Pramod Aggarwal

University of TromsoDr. Pawan Sharma

Dayalbagh Educational Institute, AgraDr. D. Bhagwan DasDr. A. K. SaxenaDr. G.S. Sailesh BabuMr. Gaurav Pratap Rana

Design and development of AC-DC microgrid and integration with main grid Development of prototype model and performance investigation

Desgn and development of SPV towers suitable for agriculture farms

Generation and Utilization of bio-gas

Battery bank for power back-up 50 SPV transparent panels

mounted at the height of 16’ with sun tracking capability having the peak power capacity of 10 kW

Utilization of bio gas to drive bio gas generator

A multi-stage, grid-interactive solar inverter would be used to supply power to AC and DC grids

Performance analysis of the system under steady state and dynamic conditions using RTDS

Establishment of reduced scale hybrid micro-grid at Electrical Engineering Department, IIT Roorkee

METHODOLOGY

DEMONSTRATION

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Solar Integration in Weak Distribution Grids

Block-chain based Energy Sharing & Control

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Adaptive Cyber-Physical Power System

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FIRST MI-INDIAIC#1 PROJECT’S

OUTCOMES

Solar Integration in Weak Distribution Grids

Block-chain based Energy Sharing & Control

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05Stability of Networked Microgrids

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Adaptive Cyber-Physical Power System

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FIRST MI-INDIAIC#1 PROJECT’S

OUTCOMES

Concept by : JBV Reddy, Sanjay Bajpai and NP Padhy