Description
A 5-day PhD-level course that covers fundamental and advanced modelling of active distribution networks with deep penetration of distributed energy resources (DER).
Topics that are discussed include:
- Power flow and optimal power flow algorithms suitable for diverse applications of active distribution networks with DER
- Consideration for uncertainty arising from renewables
- Provision of flexibility and grid services from DER, distributed multi-energy systems and community energy systems
- Fundamentals of distributed energy markets.
Structure and Instructors
Each day has 4 lecture blocks (approximately 55 minutes of lecture time including Q&A).
- Day 1 (Prof Steven Low): The OPF Problem and Convex Relaxations
- Day 2 (Prof Steven Low): OPF for Distribution Networks
- Day 3 (Prof Nando Ochoa): Orchestration of Distributed Energy Resources (DER) and Active Distribution Networks
- Day 4 (Dr Maria Vrakopoulou): Decision-Making Under Uncertainty due to Renewables
- Day 5 (Prof Pierluigi Mancarella): DER Flexibility and Techno-Economic Modelling
Click on each block below to access the videos, slides and other related content.
Day 1
Prof Steven Low: The OPF Problem and Convex Relaxations
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Block 1: Power flow models and solutions
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Block 2: OPF and semidefinite relaxations
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Block 3: Analytical properties
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Block 4: Other convex relaxations
Day 2
Prof Steven Low: OPF for Distribution Networks
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Block 1: Branch flow models for radial networks
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Block 2: OPF and semidefinite relaxations
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Block 3: Multi-phase unbalanced radial networks
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Block 4: Example and application
Day 3
Prof Nando Ochoa: Orchestration of DER and Active Distribution Networks
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Block 1: The role and challenges of OPF in distribution
Slides: Click here
Further Reading and Other Materials
- Hardware-in-the-loop demonstration of advanced control schemes for active distribution networks, IEEE/PES ISGT Latin America 2019
- Using OPF for Smart Grids: From Concept to Reality, YouTube 2018
- State-of-the-art techniques and challenges ahead for DG planning and optimization, IEEE Trans. on Power Systems 2013
More on DER and Network Modelling
- On the role of integrated MV-LV network modelling in DER studies, CIRED Workshop 2020
- Statistical representation of EV charging: Data analysis and applications, PSCC 2018
- Probabilistic impact assessment of low carbon technologies in LV distribution systems, IEEE Trans. on Power Systems 2016
- Increasing the PV hosting capacity of LV networks: OLTC-fitted transformers vs. reinforcements, IEEE/PES ISGT 2015
- On the integrated PV hosting capacity of MV and LV distribution networks, IEEE/PES ISGT Latin America 2015
- Assessing the benefits of PV var absorption on the hosting capacity of LV feeders, IEEE/PES ISGT Europe 2013
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Block 2: OPF and DER-rich distribution networks
Slides: Click here
AIMMS Instructions
- Step 1. Install AIMMS.
- Affiliated with a University. Install the free academic license of AIMMS. You will need to register (https://licensing.cloud.aimms.com/license/academic.htm).
- Non-affiliated with a University. Install the free academic license of AIMMS. You will need to register (https://licensing.cloud.aimms.com/license/community.htm).
- Wait for their confirmation emails and follow their installation instructions (using the license they give you).
- Step 2. Launch AIMMS and accept the terms and conditions.
- Step 3. Download the AIMMS code and copy all the files (including the subfolder) to your PC or laptop.
- Step 4. Using AIMMS, open the file "ACOPF.aimms".
- Step 5. Play with the code!
- Click on the tab 'Pages' (bottom left) and then double-click on 'Results' (top right, part of the 'Page Tree').
- The pre-loaded network parameters and structure correspond to a small MV (balanced) network with three buses 1-2-3.
- The pre-loaded objective function is to maximise the sum of the active power outputs of the set of Generators.
- The AC OPF is an NLP problem that works well with CONOPT - which is available with the free license version of AIMMS. So, pick that one (go to \Settings\Solver Configuration).
Further Reading on Balanced OPF
- Assessing the potential of network reconfiguration to improve distributed generation hosting capacity in active distribution systems, IEEE Trans. on Power Systems 2015
- State-of-the-art techniques and challenges ahead for DG planning and optimization, IEEE Trans. on Power Systems 2013
- Minimizing energy losses: Optimal accommodation and smart operation of renewable distributed generation, IEEE Trans. on Power Systems 2011
- Distribution network capacity assessment: Variable DG and active networks, IEEE Trans. on Power Systems 2010
- Demonstrating the capacity benefits of dynamic ratings in smarter distribution networks, IEEE/PES ISGT 2010
More on DER Hosting Capacity (without OPF)
- Multi-year planning of LV networks with EVs accounting for customers, emissions and techno-economics aspects: A practical and scalable approach, IET Generation Transmission & Distribution 2021
- Probabilistic impact assessment of low carbon technologies in LV distribution systems, IEEE Trans. on Power Systems 2016
- Increasing the PV hosting capacity of LV networks: OLTC-fitted transformers vs. reinforcements, IEEE/PES ISGT 2015
- On the integrated PV hosting capacity of MV and LV distribution networks, IEEE/PES ISGT Latin America 2015
- Assessing the benefits of PV var absorption on the hosting capacity of LV feeders, IEEE/PES ISGT Europe 2013
- Step 1. Install AIMMS.
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Block 3: Three-phase OPF: Lessons learned from large-scale realistic implementations
Slides: Click here
Further Reading and Other Materials
- Ensuring Distribution Network Integrity Using Dynamic Operating Limits for Prosumers, IEEE Trans. on Smart Grids, 2021 (In Press)
- On the Implementation of OPF-Based Setpoints for Active Distribution Networks, IEEE Trans. on Smart Grids, 2021
- On the fairness of PV curtailment schemes in residential distribution networks, IEEE Trans. on Smart Grid, 2020
- OPF-based CVR operation in PV-rich MV-LV distribution networks, IEEE Trans. on Power Systems, 2019
- Advanced control of OLTC-enabled LV networks with PV systems and electric vehicles, IET Generation, Transmission & Distribution 2019
- Implementable Three-Phase OPF Formulations for MV-LV Distribution Networks: MILP and MIQCP, IEEE/PES ISGT Latin America 2019
- AC OPF for smart distribution networks: An efficient and robust quadratic approach, IEEE Trans. on Smart Grids, 2018
- Control of EV charging points for thermal and voltage management of LV networks, IEEE Trans. on Power Systems 2016
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Block 4: DER and network integrity: Meter-level operating envelopes
Slides: Click here
Further Reading and Other Materials
- Grid and Market Services from the Edge, IEEE Power & Energy Magazine, 2021
- Ensuring Distribution Network Integrity Using Dynamic Operating Limits for Prosumers, IEEE Trans. on Smart Grids, 2021 (In Press)
- On the Implementation of OPF-Based Setpoints for Active Distribution Networks, IEEE Trans. on Smart Grids, 2021
- Managing residential prosumers using operating envelopes: An Australian case study, CIRED Workshop 2020
- Operating envelopes for prosumers in LV networks: A weighted proportional fairness approach, IEEE/PES ISGT Europe 2020
- On the fairness of PV curtailment schemes in residential distribution networks, IEEE Trans. on Smart Grid, 2020
- Impacts of price-led operation of residential storage on distribution networks: An Australian case study, IEEE PES PowerTech 2019
- OPF-based CVR operation in PV-rich MV-LV distribution networks, IEEE Trans. on Power Systems, 2019
- Implementable Three-Phase OPF Formulations for MV-LV Distribution Networks: MILP and MIQCP, IEEE/PES ISGT Latin America 2019
- AC OPF for smart distribution networks: An efficient and robust quadratic approach, IEEE Trans. on Smart Grids, 2018
More about Project EDGE and ARENA Initiatives
Day 4
Dr Maria Vrakopoulou: Decision-Making Under Uncertainty due to Renewables
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Block 1: Renewable energy integration challenges
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Block 2: Stochastic OPF with approximate solutions
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Block 3: Stochastic OPF with AC-feasible solutions
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Block 4: Co-optimization of energy and reserves
Day 5
Prof Pierluigi Mancarella: DER Flexibility and Techno-Economic Modelling
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Block 1: Modelling flexibility from DER aggregation
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Block 2: Flexibility from distributed multi-energy systems
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Block 3: Smart districts and community energy systems
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Block 4: Distributed energy marketplaces and grid services
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Our Projects with Industry
Examples of the industrial projects carried out by our research group.
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Low-Carbon Power Systems
Develop key expertise in the operation, planning and design of low-carbon power systems and energy markets with deep penetration of renewables, distributed energy resources, and smart grid technologies.
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People
View our staff listing, contact details and biographies of our researchers.
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Smart Grid Lab
The Smart Grid Lab provides facilities for real-time testing and demonstration of solutions developed by the group.