Transforming Education in Electric Energy Systems Marija Ilic - ecedha
Transforming Education in Electric Energy Systems Marija Ilic - ecedha Transforming Education in Electric Energy Systems Marija Ilic - ecedha
Transformational changes in the objectives of Today’s T&D Grid Tomorrow’s T&D Grid Deliver supply to meet given demand Deliver power to support supply and demand schedules in which both supply and demand have costs assigned Deliver power assuming a predefined tariff Deliver electricity at QoS determined by the customers willingness to pay Deliver power subject to predefined CO 2 constraint Deliver supply and demand subject to transmission congestion Deliver power defined by users’ willingness to pay for CO 2 Schedule supply, demand and transmission capacity (supply, demand and transmission costs assigned); transmission at value Use storage to balance fast varying supply and demand Build new transmission lines for forecast demand Build storage according to customers willingness to pay for being connected to a stable grid Build new transmission lines to serve customers according to their ex ante (longer-term) contracts for service
THE MOST DIFFICULT QUESTIONS Establish sufficiently accurate (but not too complex) modeling framework which captures inter-dependencies between energy SES, physical grid, ICT and governance system The key objective: Match attributes of core variables in the composite energy SES; do it by careful model-based design of physical grid, ICT and governance system for a specific type of energy SES
- Page 1 and 2: Transforming Education in Electric
- Page 3 and 4: Many boom-and-bust cycles in the US
- Page 5 and 6: Transformational Social Changes: N
- Page 7 and 8: Core and Second-Level Variables [1]
- Page 9: Linking physical design and ICT Ch
- Page 13 and 14: Hybrid Electric Energy System
- Page 15 and 16: Matching Temporal Characteristics -
- Page 17 and 18: Transformational changes in educati
- Page 19 and 20: Modern Electric Energy Systems at a
- Page 21 and 22: DYMONDS-enabled Physical Grid [4]
- Page 23 and 24: Closing Remarks There exists now a
THE MOST DIFFICULT QUESTIONS<br />
Establish sufficiently accurate (but not too complex)<br />
model<strong>in</strong>g framework which captures <strong>in</strong>ter-dependencies<br />
between energy SES, physical grid, ICT and governance<br />
system<br />
The key objective: Match attributes of core variables <strong>in</strong> the<br />
composite energy SES; do it by careful model-based<br />
design of physical grid, ICT and governance system for a<br />
specific type of energy SES
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