H S V Sivanand Kumar Nunna

School of Engineering and Digital Sciences, Electrical and Computer Engineering
Assistant Professor
Block 3, 325
+7 (7172) 70 61 39

Dr. H S V S Kumar Nunna is an Assistant Professor in the school of engineering at the Nazarbayev University (NU) from September 2017, where he teaches and conducts research in Power and Energy systems as a faculty member of the Department of Electrical and Electronics Engineering. Before joining NU, he was with the National University of Singapore (NUS) as a Postdoctoral Fellow in the Center for Green Energy Management and Smart grids from January 2015 to June 2017, and with Indian Institute of Technology Bombay (IIT Bombay), Mumbai from July 2014 to January 2015 as a Research Associate in the Department of Energy Science and Engineering.

Dr. Kumar received the bachelors (B.Tech.) degree in Electrical and Electronics Engineering from LBRCE (affiliated to Jawaharlal Nehru Technological University Hyderabad (JNTUH)), Mylavaram, Andhra Pradesh, in 2007, Masters degree (M.Tech) in Industrial Power and Automation (formerly know as Computer Controlled Industrial Power) from National Institute of Technology Calicut, India in 2010 and Ph.D. degree in Power and Energy Systems from IIT Bombay, India in December, 2014.

CV is available here                                   Research Homepage: Please click here

Achievements and Awards

  • Award for Excellence in Thesis Work from Indian Institute of Technology (IIT) Bombay for the research contribution made during the doctoral work. Aug. 2015
  • Best Research Poster Award for the work titled “Agent-based Demand Side Management Framework for Smart Distribution Systems with Multiple Microgrids” presented at 1st IITB-NUS Joint Research Workshop (Energy 2014). Feb. 2014.
  • Travel Award from the Department of Science and Technology, Govt. of India for attending IECON 2013 in Vienna, Austria Nov. 2013
  • Full Scholarship for Ph.D. from the Ministry of Human Resource Development (MHRD), Govt. of India

Research Interests

 My research interests lie at the interface of computational intelligence , electric power systems, and economics, which focuses on the development of smart energy management frameworks/tools to facilitate the optimal and viable integration of distributed energy resources (DERs), such as distributed generation, demand response and energy storage, into the electrical enterprise. The power system deregulation has successfully unbundled the vertically integrated structure of the conventional power systems while introducing the competition into many aspects of the system operation. For example, the retailers, distribution companies, and bulk consumers are able to choose the electricity suppliers through wholesale or spot electricity markets, and the contestable consumers can choose the retailers or service providers of their choice. However, with the advent of smart grid technologies and the proliferation of on-site DERs, the utilities and market regulators across the world are attempting to fully liberalize the electricity markets. The full liberalization allows the end-users, irrespective of their scale, to buy the electricity directly from on-site energy providers, such as solar PV or wind-based electricity generators, or the retailers of their choice. In addition, the energy producers, responsive consumers and prosumers (producer cum consumer) are allowed to trade the energy and ancillary services regionally. Although this new dimension of the deregulation sounds effective, its massive deployment is limited by many technical and operational challenges. In this research avenue, the major contributions of my research work can be found here

Current Research Interests:

  • Dynamic Energy Management in Smart Grids
  • Transactive Energy Models for Smart Power Distribution Grids
  • Renewable Energy Integration, Smart Microgrids, and Mesogrids
  • Distributed Intelligence and  IoT applications in Power Systems
  • Self-healing and Resilient Power Grids
  • SCADA and  Distribution System Automation

Ongoing Research Projects

  • NU Social Policy Grant on “Transactive Home Energy Management System”.

Teaching (2019-20)

  •  Spring Semester 2019
    1. EEE 484 : Electric Power Generation (Year 4, UG Elective): This course aims at introducing the fundamentals of power generation technologies and systems along with their economic aspects and feasibility studies. In specific, after going through this course, the students will get a thorough knowledge on thermal, hydro, gas and nuclear power plant operation and management, the economics of power generation systems, co-generation and tri-generation technologies, Automatic Generation Control (AGC), Economic Dispatch, etc.  Special Topics: Distributed Generation and Active Distribution System Management
    2. EEE 485: Power System Operation and Control (Year 4, UG Elective): This course aims at introducing the concepts of power system stability, load-frequency control, optimal power flow techniques, power system state estimation, interchange of power and energy, power pools and auction mechanisms, modern power markets, and load forecasting techniques. Special topics: Microgrids, load-frequency control in microgrids, power system deregulation, and electricity markets
  •   Fall Semester – 2019
    1. EEE 452: Power System Protection (Year 4, UG Elective): This course introduces students to the fundamentals of power systems protection and relaying. It discusses the types of faults and the calculation of fault current using symmetrical components methods; electromagnetic relay principles; relaying transducers – voltage and current transformers; transmission line protection – over current, directional, distance, out-of-step protection; primary and backup protection zones, discrimination of relay time and current settings, types of circuit breakers and their types, isolators and lightning arresters. Special topics: Protection challenges in active distribution networks and Micro-grid protection schemes
    2. MECE 725: Smart Grids and Energy Systems (Year 2, PG Elective): This is an advanced course which focuses on the state of the art developments in power systems and smart grids. The topics to be taught in course will give the students a great competency and in-depth knowledge to contribute to the future of the local power industry and to make it globally competitive. In specific, the course covers the topics such as power system planning and operation, power markets and their integration into the system operation, active distribution network management, Power system automation and control, distributed generation and microgrids, transactive energy systems, machine learning applications in power system, multi-area and tie-line control problems, automatic generation control, frequency-droop control, and power system stability, Availability Based Tariff (ABT) and Advanced Metering Infrastructure (AMI). Software Platforms: OpenDSS, GridLAb-D, Power World Simulator, ETAP, and MATPOWER.

Research Group

  • Undergraduate 
    1. Bagdat Kamalbayev
    2. Talgat Bizhigit
    3. Madina Myrzaliyeva
    4. Nursultan Ashenov
  • Master’s Students
    1. Yerasyl Amanbek (Topic: Transactive Energy Models and Congestion Management)
    2. Aidana Kalkova (Topic: Active Network Management in Distribution Grids to improve Renewable Energy Hosting Capacity)