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Theme 3: Power systems integration

 Description

Deterministic co-optimization models will be built for sizing and siting of ES facilities, considering many services and technologies. The models will be built for both utility-owned ES facilities as well as investor-owned merchant facilities. The deterministic models will then be extended to include sources of uncertainty in power systems operation and planning. Stochastic versions of the deterministic models will be developed using techniques such as robust optimization or approximate chance-constrained optimization that make use of convexity and hence can be solved efficiently.

 Progress

The project team is currently creating a model for co-simulation optimization with an ES model and working on the deterministic model for ES planning. Also, a literature review of ES technologies was completed.

 Outcomes (cumulative)

8 journal papers, 2 journal papers submitted, 2 conference papers, 6 tutorials, 1 workshop, 3 presentations, and 1 invited panel talk.

 Project leader

Hamid Zareipour, University of Calgary

Project collaborators

  • Miguel Anjos, École Polytechnique de Montréal
  • Amit Kumar, University of Alberta
  • William Rosehart, University of Calgary
  • Andrew Knight, University of Calgary
  • Patrice Marcotte, Université de Montréal

 Highly qualified personnel (year 4)

  • Ahmed Chaouachi (PhD)
  • Shubhrajit Bhattacharjee (PhD)

 Description

Research will focus on the development of a new algorithm for the feeder investment model for distribution systems, including optimal location and size of ES systems. The algorithm will ensure that all customer loads and renewables are fully connected and reliably serviced over the plan period. The algorithm will minimize the annual amortized cost of investment for the utility considering both purchases of feeders and ES units.

 Progress

The two-year project has been completed and includes feeder investment model for distribution systems analysis; study of battery ES system (BESS) and its market price projections; feeding investment model with BESS.

 Outcomes (cumulative)

2 journal papers, 3 technical reports, 1 patent in progress.

Project leader

Bala Venkatesh, Ryerson University

Project collaborators

  • Bob Singh, Ryerson University
  • Claudio Cañizares, University of Waterloo
  • Amit Kumar, University of Alberta

 Highly qualified personnel (year 3)

N/A

 Description

This research will develop and test new protection architectures for ES systems, digitally implemented to be embedded within the main ES systems controller. This architecture is required for development of fault detection and classification methods based on signature extraction, rather than magnitudes of voltages or currents. The desired fault detection and classification methods will be based on processing current signals obtained from the main ES system controller to facilitate full embedding.

 Progress

The project team is implementing the phaselet filter bank to process currents collected from a lab-scale 5 kW storage system (for a wind turbine), and a 10 kW storage system (for grid connection). These two lab scale storage systems are used to test the responses of the developed phaselet-based protection for different fault and non-fault conditions. They have completed the development, implementation, and testing of phaselet-based digital protective relays for stand-alone and coordinated architectures.

 Outcomes (cumulative)

10 journal papers, 2 journal papers submitted, and 17 conference papers.

 Project leader

Saleh Saleh, University of New Brunswick

Project collaborators

  • Eduardo Castillo Guerra, University of New Brunswick
  • Liuchen Chang, University of New Brunswick
  • Reza Iravani, University of Toronto

 Highly qualified personnel (year 4)

  • Christiane Richard (MASc)
  • Xavier St. Onage (MASc)
  • Katie McDonald (undergraduate)
  • Boris Vega (visiting scholar)
  • Rashed Alam (MASc)

 Description

Research will develop novel solutions to overcome PQ issues (due to switching, load cycling or intermittency of renewables) using ES systems. Another goal is to study the impact of integrating different ES technologies (dedicated for grid-related PQ issues) on smart grid; under low- or high-loading conditions.

 Progress

Two studies have been started, Harmonic mitigation using optimally placed Energy Storage Systems and Application of Energy Storage Systems for Solving Voltage-Sag Problems.

 Outcomes (cumulative)

2 journal papers, 2 journal papers submitted, 1 journal paper in progress, 4 conference papers, and 4 workshop presentations.

 Project leader

Magdy Salama, University of Waterloo

Project collaborators

  • Tarek El-Fouly, CanmetENERGY and University of Waterloo Saleh Saleh, University of New Brunswick
  • Liuchen Chang, University of New Brunswick
  • Ahmed Awad, CanmetENERGY
  • Mohamed Ahmed, SNC-Lavalin and University of Waterloo

 Highly qualified personnel (year 4)

  • Ahmed Mustafa (PhD)
  • Mohamed Hamouda (PhD)
  • Sherin Helal (MASc)
  • Mahmoud Othman (Postdoctoral Fellow)

 Description

In this research, mathematical models of ES systems will be developed that account for operational features and constraints, and be combined with power systems optimization algorithms meant for daily operations. Such ES system models will be integrated into existing optimization models and simulation tools for power systems operation and control. These models will be used to evaluate the contribution and impact of ES systems on the overall power system operation. At the distribution system level, optimal operation will examine and derive benefits from ES systems to manage increased renewable integration, feeder loading management, arbitrage, etc. At the transmission level, optimal operation will examine the use of ES for frequency regulation, energy arbitrage, etc.

 Progress

The project team completed modelling flywheel technology and continue modelling battery and CAES technology. Signed NDA with IESO to get information and collaborate on energy storage models for Ontario’s grid and fast regulation studies and initiatives.

 Outcomes (cumulative)

1 journal paper, 2 journal papers submitted, 1 journal paper in progress, 1 conference paper, 4 technical reports, and 18 presentations.

Project leader

Claudio Cañizares, University of Waterloo

 Project collaborators

  • Kankar Bhattacharya, University of Waterloo
  • Bala Venkatesh, Ryerson University
  • Miguel Anjos, École Polytechnique de Montréal
  • Rupp Carriveau, University of Windsor

 Highly qualified personnel (year 4)

  • Behnam Tamimi (Postdoctoral fellow)
  • Chioma Anierobi (PhD)
  • Fabian Calero (PhD)  
  • Ivan Calero (PhD)
  • Noela Sofia Guzman (PhD)
  • William Mendieta (MASc)
  • Matheus Zambroni de Souza (PhD)

 Description

New reliability models will be developed for battery, CAES, flywheel and thermal ES systems. Probabilistic techniques will be developed to incorporate market scenarios and operating strategies in quantifying adequacy benefits of ES systems with largescale renewables penetration. Value-based reliability of different ES technologies and capacity credit increments of renewables due to ES systems will be analyzed, providing invaluable investment decision information. New methodologies will be proposed to incorporate the aforementioned factors, assess the implications of operating reserve requirements and response capabilities, and quantify the impact and worth of ES systems.

 Progress

The basic reliability modeling of compressed air energy storage (CAES), flywheel and battery have been done. Another project on energy storage reliability impacts on distributed generation system is in progressing well with a manuscript for journal submission in progress.

 Outcomes (cumulative)

3 journal papers, 5 journal papers submitted, 2 journal papers in progress, 5 conference papers, 1 invited panel talk, and 1 invited talk.

 Project leader

Rajesh Karki, University of Saskatchewan

Project collaborators

  • Bala Venkatesh, Ryerson University
  • Claudio Cañizares, University of Waterloo

 Highly qualified personnel (year 4)

  • Prajjwal Gautam (MASc)
  • Safal Bhattarai (MASc)
  • Tej Krishna Shrestha (PhD)
  • Prasanna Piya (Postdoctoral Fellow)

 Description

Research aims to analyze the potential of ES to provide services such as demand response, ramping, frequency regulation, etc., given that ES can act as both a load and a generator. With knowledge of the potential of ES solutions, this research will examine and develop capacity markets for ES considering various services.

 Progress

ES self-scheduling model was created. The model optimizes the ES operation to achieve maximum profit to the ES owner.

Outcomes (cumulative)

6 journal papers submitted, 1 journal paper in progress, 1 conference paper, 1 conference paper in progress, 1 patent in progress, 6 technical reports.

 Project leader

Bala Venkatesh, Ryerson University

 Project collaborators

  • Kankar Bhattacharya, University of Waterloo
  • F. Handan Tezel, University of Ottawa
  • Rupp Carriveau, University of Windsor
  • Amit Kumar, University of Alberta

 Highly qualified personnel (year 3)

  • Chandrabhanu Opathella (Postdoctoral fellow)