GRAPH AI WORLD+
Adrian Miranda
University of Oviedo
lemuruniovi.com uo246961 uniovi.es– @
GRAPHS FOR THE FUTURE ENERGY SYSTEMS
2
1. What is the role of the electrical grid
2. How is the energy world evolving
3. How this affect to the electrical grid
4. How should the electrical grid evolve
5. Case of study
OUTLINE
Graph+AI 2020
3
POWER SYSTEMS
Graph+AI 2020Graphs for the Future Energy Systems
4
NEW AGENTS IN THE GRID
Graph+AI 2020
During last years the EV shares grew so fast.
In 2019, 2.3 million EV units were sold. In Europe EVs
represent a 40 of new vehicle shares.%
They represent a huge increase of power
consumption at peak hours.
Graphs for the Future Energy Systems
5
NEW AGENTS IN THE GRID
Graph AI 2020+
The electrification of economy is increasing the
world s electric power demand.’
The better performance of electric devices will
reduce the CO2 footprint.
A clear example is the huge growth in last years of
heat pumps.
Graphs for the Future Energy Systems
6
NEW AGENTS IN THE GRID
Source: Solarpower Europe 2019
Graph+AI 2020
The role of the renewable energies in the grid is
becoming dominant.
Among the available technologies the rooftop PV panels
on costumers houses is more and more relevant.’
This changes the role of costumers becoming
prosumers .“ ”
The generation takes place on terminal installations and
it is intermittent and difficult to be predicted.
Graphs for the Future Energy Systems
7
NEW AGENTS IN THE GRID
Graph+AI 2020
Along the huge growth of PV installations, the sells on
household batteries are growing.
The prices of batteries fell during last years, mainly
due to the growth of EV s popularity.’
The EV s stay connected more time than needed for’
the full charge, so they can act as batteries connected
to the system.
Graphs for the Future Energy Systems
Graph+AI 2020 8
THE FUTURE GRID
Source: World Economic Forum
Graphs for the Future Energy Systems
9
THE FUTURE GRID
OPTION A RESIZE THE GRID:
Huge investments are needed.
OPTION B MAKE THE GRID MORE INTELLIGENT:
- AUTOMATIC OPERATION AND REGULATION: the grid should be able to
take decisions in real time.
- DEMAND RESPONSIVE: provide mechanisms to adapt the demand to the
generation in real time.
- ENERGY COMMUNITIES AND P2P ENERGY TRADING: the end-users will
be able to become active agents in the energy market.
- DETECT BOTTLENECKS AND ACT ONLY WHERE IT IS NEEDED: a better
knowledge on the grid will allow to avoid huge investments.
Graph+AI 2020Graphs for the Future Energy Systems
10
P. Arboleya, A. Koirala, L. Suárez, B. Mohamed and C. González-Morán, "Impact Evaluation of the New Self-Consumption Spanish Scenario on
the Low-Voltage Terminal Distribution Network," in IEEE Transactions on Industry Applications, vol. 55, no. 6, pp. 7230-7239, Nov.-Dec. 2019.
EUROPEAN POWER GRIDS
Graph+AI 2020Graphs for the Future Energy Systems
11
GRAPHS FOR POWER SYSTEMS
Graph+AI 2020
- The state of the grid is highly dependent on the
configuration of the grid.
- The relationship between customers and power
source is not fixed. It should be calculated online.
- The configuration changes along time multiple:
graph.
- In distribution grids, the graphs are relatively
deep“ ”.
Graphs for the Future Energy Systems
12
CASE OF STUDY
Graph+AI 2020Graphs for the Future Energy Systems
13
REAL TIME TOPOLOGY ANALYSIS
Graph+AI 2020Graphs for the Future Energy Systems
14
PARAMETERS REPRESENTATION
Graph+AI 2020Graphs for the Future Energy Systems
15
REAL TIME POWER FLOW SIMULATIONS
Graph+AI 2020Graphs for the Future Energy Systems
GRAPH AI WORLD+
Adrian Miranda
University of Oviedo
lemuruniovi.com uo246961 uniovi.es– @
GRAPHS FOR THE FUTURE ENERGY SYSTEMS

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GRAPHS FOR THE FUTURE ENERGY SYSTEMS

  • 1. GRAPH AI WORLD+ Adrian Miranda University of Oviedo lemuruniovi.com uo246961 uniovi.es– @ GRAPHS FOR THE FUTURE ENERGY SYSTEMS
  • 2. 2 1. What is the role of the electrical grid 2. How is the energy world evolving 3. How this affect to the electrical grid 4. How should the electrical grid evolve 5. Case of study OUTLINE Graph+AI 2020
  • 3. 3 POWER SYSTEMS Graph+AI 2020Graphs for the Future Energy Systems
  • 4. 4 NEW AGENTS IN THE GRID Graph+AI 2020 During last years the EV shares grew so fast. In 2019, 2.3 million EV units were sold. In Europe EVs represent a 40 of new vehicle shares.% They represent a huge increase of power consumption at peak hours. Graphs for the Future Energy Systems
  • 5. 5 NEW AGENTS IN THE GRID Graph AI 2020+ The electrification of economy is increasing the world s electric power demand.’ The better performance of electric devices will reduce the CO2 footprint. A clear example is the huge growth in last years of heat pumps. Graphs for the Future Energy Systems
  • 6. 6 NEW AGENTS IN THE GRID Source: Solarpower Europe 2019 Graph+AI 2020 The role of the renewable energies in the grid is becoming dominant. Among the available technologies the rooftop PV panels on costumers houses is more and more relevant.’ This changes the role of costumers becoming prosumers .“ ” The generation takes place on terminal installations and it is intermittent and difficult to be predicted. Graphs for the Future Energy Systems
  • 7. 7 NEW AGENTS IN THE GRID Graph+AI 2020 Along the huge growth of PV installations, the sells on household batteries are growing. The prices of batteries fell during last years, mainly due to the growth of EV s popularity.’ The EV s stay connected more time than needed for’ the full charge, so they can act as batteries connected to the system. Graphs for the Future Energy Systems
  • 8. Graph+AI 2020 8 THE FUTURE GRID Source: World Economic Forum Graphs for the Future Energy Systems
  • 9. 9 THE FUTURE GRID OPTION A RESIZE THE GRID: Huge investments are needed. OPTION B MAKE THE GRID MORE INTELLIGENT: - AUTOMATIC OPERATION AND REGULATION: the grid should be able to take decisions in real time. - DEMAND RESPONSIVE: provide mechanisms to adapt the demand to the generation in real time. - ENERGY COMMUNITIES AND P2P ENERGY TRADING: the end-users will be able to become active agents in the energy market. - DETECT BOTTLENECKS AND ACT ONLY WHERE IT IS NEEDED: a better knowledge on the grid will allow to avoid huge investments. Graph+AI 2020Graphs for the Future Energy Systems
  • 10. 10 P. Arboleya, A. Koirala, L. Suárez, B. Mohamed and C. González-Morán, "Impact Evaluation of the New Self-Consumption Spanish Scenario on the Low-Voltage Terminal Distribution Network," in IEEE Transactions on Industry Applications, vol. 55, no. 6, pp. 7230-7239, Nov.-Dec. 2019. EUROPEAN POWER GRIDS Graph+AI 2020Graphs for the Future Energy Systems
  • 11. 11 GRAPHS FOR POWER SYSTEMS Graph+AI 2020 - The state of the grid is highly dependent on the configuration of the grid. - The relationship between customers and power source is not fixed. It should be calculated online. - The configuration changes along time multiple: graph. - In distribution grids, the graphs are relatively deep“ ”. Graphs for the Future Energy Systems
  • 12. 12 CASE OF STUDY Graph+AI 2020Graphs for the Future Energy Systems
  • 13. 13 REAL TIME TOPOLOGY ANALYSIS Graph+AI 2020Graphs for the Future Energy Systems
  • 14. 14 PARAMETERS REPRESENTATION Graph+AI 2020Graphs for the Future Energy Systems
  • 15. 15 REAL TIME POWER FLOW SIMULATIONS Graph+AI 2020Graphs for the Future Energy Systems
  • 16. GRAPH AI WORLD+ Adrian Miranda University of Oviedo lemuruniovi.com uo246961 uniovi.es– @ GRAPHS FOR THE FUTURE ENERGY SYSTEMS