RACE for 2030 CRC Scholarships

Short description

The global adoption of electric vehicles (EV) expanded notably over the last decade, created opportunities for grid integration through flexible charging and vehicle to grid. This project aims to develop solutions that will help EV Owners and Fleet Managers with smart charging/discharging decisions and aggregation of EV resources to support the grid.

Project description

The flexibility offered by the grid-tied EVs will allow electricity providers to harness the massive storage capacity through opportunities such as flexible smart charging, virtual power plants, and vehicle to grid or vehicle to premises. However, these impose many challenges to the EV owners and grid managers.

This project aims to develop strategies that will help EV owners and fleet managers with smart charging decisions and aggregation of EV resources to support the grid, through optimised smart charging strategies to minimise operational costs of EVs, and to help shave peak load, address minimum load risks, control grid active and reactive power, and optimise renewable energy use.

Expected outputs of this project include:

1. Design and development of efficient charging (and discharging) scheduling algorithms and software systems (including cloud and mobile application) to minimize the total operation cost of EVs and associated systems and battery degradation.
2. Design and development of an aggregator software system that combines individual EVs information to collectively exploit EV’s potential to shave peak load, control grid active and reactive power, and support renewable energy sources for transmission system operators and distribution system operators.
3. Building a simulation tool that simplifies the evaluation of vehicle to grid and smart charging strategies along with grid distribution for both electricity providers and EV owners.
4. Design and development of business models, tariffs, and control solutions that respond to energy market signals and network constraints.

This PhD will be supported by an Industry Reference Group throughout the project.

The PhD is funded by a scholarship for 3 years and 3 months (with the option to apply for up to an additional 3 months) by the RACE for 2030 Collaborative Research Centre and Enzen is the Industry Partner on the project. This PhD will be completed through a PhD by publication/compilation or thesis with a minimum of three peer-reviewed publications and will commence with an industry-focused Rapid Review. You can find out more about RACE here.

Funding

RACE for 2030 will provide three years of funding at $38,000 per annum (tax exempt) via a student scholarship managed by Monash University. RACE will also supply up to $3,000 per annum for expenses for the candidate, for items such as a computer, publishing fees, travel, or conference costs.

Eligibility

1. Scholarships are available for Australian residents and citizens. We encourage female-identifying or Indigenous applicants. Consideration of the RACE for 2030 scholarship may also be given to onshore international students, however, tuition fees still apply.
2. Applicants should have a first-class Honours or Masters degree or equivalent in a related discipline, OR a combination of an upper second-class honour’s degree or equivalent in a related discipline together with a minimum of five years equivalent full-time professional work experience in a relevant field.
3. Applicants must be eligible for enrolment in their chosen course at Monash University. It is recommended that students obtain relevant postgraduate information from Monash University before pursuing a scholarship inquiry.
4. Applicants must be studying full-time.

Contact details

For further information please contact:

Name: Adel N. Toosi

Email: adel.n.toosi@monash.edu

Phone:  099059635

Organisation/Department: Monash University / Software Systems and Cybersecurity

Application closing date

16-July 2021

Required knowledge

Project funding

Funding reference

Short description

The PhD project is focused on recommended design and engineering principles of totally renewable microgrids with the ambition to outperform traditional networks reliability characteristics, and identify new ways of defining reliability in the context of autonomous microgrids. The Project is in partnership with Planet Ark Power’s utilising their unique power electronics and software solution eleXsys as a core element operating autonomous microgrids of the future, as well as providing integrated Volt/VAR management, allowing for full two-way energy flow in the entire microgrid network.

Project description

For distributed renewable micro-grids to become a mature technology, the economics and the reliability have to be equal to or better than today’s distribution grids. The PhD project will:

1. Assess the suitability of traditional grid reliability measures,
2. Explore innovative reliability management and measurement approaches potentially more suitable for DER dominated micro-grids as well as
3. Provide design recommendations balancing reliability and commercial viability.

As part of the PhD work, the following design factors need to be assessed, reviewed and optimised:

1. Network topology
2. Placement and capacity of community batteries and community renewable generation
3. The number, capacity and control of individual DER
4. Sequencing and control of grid forming inverters
5. The number of intra and inter micro-grid connections.

In a final step, all technical parameters have to be matched with corresponding commercial aspects to conclude an optimised outcome from both, reliability and commercial side.

This PhD will be supported by an Industry Reference Group throughout the project.

The PhD is funded by a scholarship for 3 years and 3 months (with the option to apply for up to an additional 3 months) by the RACE for 2030 Collaborative Research Centre and Planet Ark Power is the Industry Partner on the project. This PhD will be completed through a PhD by

publication/compilation or thesis with a minimum of three peer reviewed publications and will commence with an industry focused Rapid Review. You can find out more about RACE here.

Funding

RACE for 2030 will provide three years of funding at $38,000 per annum (tax exempt) via a student scholarship managed by Monash University. RACE will also supply up to $3,000 per annum for expenses for the candidate, for items such as a computer, publishing fees, travel or conference costs. Planet Ark Power is offering a part-time employment option in addition to the Race2030 funding, of up to 1 day a week, compensated based on the applicant’s experience and seniority level.

Eligibility

1. Scholarships are available for Australian residents and citizens. Considerations can also be given to onshore international candidates, however, tuition fees still apply (or the candidates are competitive to fee scholarships). We encourage female identifying or Indigenous applications.
2. Applicants should have a first-class honours or masters degree or equivalent in a related discipline, OR a combination of an upper second-class honour’s degree or equivalent in a related discipline together with a minimum of five years equivalent full-time professional work experience in a relevant field.
3. Applicants must be eligible for enrolment in their chosen course at Monash University. It is recommended that students obtain relevant postgraduate information from the relevant university before pursuing a scholarship inquiry.

Contact details

For further information please contact:

Name: Hao Wang

Email: hao.wang2@monash.edu

Organisation/Department: Monash University / Data Science and AI

Application closing date

16-July 2021

Required knowledge

Project funding

Funding reference