Master in Advanced Power Electrical Engineering © Copyright 2005 Distribution grid Ronnie Belmans.

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Presentation transcript:

Master in Advanced Power Electrical Engineering © Copyright 2005 Distribution grid Ronnie Belmans

© Copyright Radial network Energy supplied top-down from feeder Traditional distribution grid: From feeder to meter

© Copyright Distribution grid Flanders: Facts and figures 3,075 feeders 29,546 km of medium-voltage lines 29,331 distribution transformers 24,820 distribution cabins 6,203 switching posts 52,473 km of low-voltage lines 1,796,083 connections 2,580,279 meters

© Copyright Traditional evolution of the distribution grid Limited number of loads Increased loading Increased distortion: due to non-linear (power electronic) and sensitive loads power quality problems arise

© Copyright technological drivers  Power electronics (PE) becomes ubiquitous in loads, generators and grids  More power produced (and stored) near consumers: Distributed Energy Resources (DER)  Increased importance of Power Quality (PQ): more disturbances and more sensitive devices 3 socio-economic tendencies  Liberalization of energy markets  More sustainable energy (renewable and ‘high-quality’)  Non-guaranteed security of supply Evolution in electrical energy

© Copyright DER technologies Distributed Generation:  Reciprocating engines  Gas turbines  Micro-turbines  Fuel cells  Photovoltaic panels  Wind turbines  CHP configuration Energy Storage  Batteries  Flywheels  Supercapacitors  Rev. fuel cells  Superconducting coils

© Copyright Power electronic dominated grids Source: KEMA

© Copyright Grid of tomorrow ? Local generation Local storage Controllable loads Power quality and reliability is a big issue System’s future size?  Growth: o Consumption rises annually by 2-3% o Investments in production: very uncertain – What is accepted? What is possible in regulatory framework?  Short-term: make balance by introducing DG?  Long-term: more storage and/or ‘activate loads’?

© Copyright Microgrid ? Grids may even separate from central supply  No net power exchange: total autonomy  Important aspect, characterizing a Microgrid o “Ancillary Services” are all delivered internally – Balancing the active and reactive power – Stabilizing the grid: frequency, voltage – Providing quality and reliability: unbalance, harmonics, … Is a Microgrid new ?  It all started that way, before interconnection  In fact, no: the grid behind certain UPS systems is driven like a microgrid with one generator

© Copyright DG% t How much local sources can a distribution grid accept ? Distribution grid was never built for local power injection, only top-down power delivery Electrical power balance, anytime, in any grid: Electricity produced - system losses = electricity consumed – storage Barriers to overcome:  Power quality & reliability  Control, or the lack of  Safety  Societal issues  Economic aspects

© Copyright Power quality & reliability Problem:  Bidirectional power flows  Distorted voltage profile  Vanishing stabilizing inertia  More harmonic distortion  More unbalance Technological solution:  Power electronics may be configured to enhance PQ  DG units can be used as backup supply

© Copyright Example: MV cable grid Substation connecting to HV-grid Location: Leuven- Haasrode, Brabanthal + SME-zone

© Copyright Impact of wind turbine

© Copyright Control, or the lack of Problem:  Generators are NOT dispatched in principle o Weather-driven (many renewables) o Heat-demand driven (CHP) o Stabilising and balancing in cable-dominated distribution grids is not as easy as in HV grids reactive power voltage active power frequency

© Copyright Networked system operations Solutions:  Higher level of control required to coordinate balancing, grid parameters ?  Advande control technologies Future technologies, under investigation  Distributed stability control o Contribution of power electronic front-ends  Market-based control o Scheduling local load and production, by setting up a micro- exchange (see example)  Management of power quality o Customize quality and reliability level  Alternative networks o E.g. stick to 50 Hz frequency ? Go DC (again) ? Rely heavily on intensified communication: interdependency

© Copyright Example: tertiary control on local market DG units locally share loads dynamically based on marginal cost functions, cleared on market PP MC Δ P P 1 old P 1 new P 2 old P 2 new equal marginal cost translated translated & mirrored

© Copyright Example: tertiary control on local market Prices are set by marginal cost functions of generators:  Real-time pricing  Real-time measurements Network limitations introduce price-differences between nodes  Safety and PQ issues similar to congestion in transmission grid Demand side management  Optimizing consumption  Load reacts to external signals as prices Overall need for advanced metering

© Copyright Safety Problem:  Power system is designed for top-down power flow  Local source contributes to the short- circuit current in case of fault o Fault effects more severe o Difficult to isolate fault location  Bidirectional flows o ‘Selectivity’ principle in danger: no backup ‘higher in the grid’ for failing protection device  Conservative approach on unintentional islanding Solution:  New active protection system necessary G G

© Copyright Societal issues Problems:  Environmental effects o Global: more emissions due to non-optimal operation of traditional power plants o Local effects as power is produced on-the-spot, e.g. visual pollution  Making power locally often requires transport infrastructure for (more) primary energy o Problem is shifted from electrical distribution grid to, for instance, gas distribution grid! Solution:  Multi-energy vector approach  Open debate on security of supply

© Copyright Economic issues Problems:  Pay-back uncertain in liberalized market o ‘Chaotic’ green and efficient power production o Reliability or PQ enhancement difficult to quantify  System costs o More complicated system operation o Local units offer ‘ancillary services’  System losses generally increase  Who pays for technological adaptations in the grid ? Who will finance the backbone power system? o Too much socialization causes public resistance Solution:  Interdisciplinary regulation, not only legal  Need some real ‘deregulation’

© Copyright System losses example DG introduction does not mean lowered losses Optimum is 2/3 power at 2/3 distance Other injections generally cause higher system losses HV subst. Load distributed along feeder cable DG Power flow along cable

© Copyright Balancing question, again Fundamental electrical power balance, at all times is the boundary condition: Electricity produced - system losses = electricity consumed – storage All sorts of reserves will decrease in the future Role of storage? Storage also means cycle losses! Next step in enabling technologies  Usable storage  Activated intelligent loads (DSM technology), also playing on a market as mentioned in example?  Boundary condition: minimize losses

© Copyright How far can we go? Large optimization exercise, considering the different technical barriers:  Optimal proliferation, taking into account local energetic opportunities, e.g. renewables options  Unit behavior towards grid: technology choice  control paradigm  Is the same level of reliability still desired ?  Level of introduction of new additional technologies (storage, activated loads) Optima are different, depending on stakeholder  E.g. grid operator vs. client

© Copyright Optimization example Total problem yields a huge mixed integer- continuous optimization problem  Optimization goals: voltage quality penalty, minimum losses, minimum costs  Complexity: sample grid yields 2 40 siting options for simple domestic CHP and PV scenario  need advanced maths  Results are different hourly and vary with time of year, e.g. during day: PV opportunities  in peak hours: CHP helpful

© Copyright Current grid:  Interconnection  Higher PQ level required  DER looking around the corner History repeats: after 100 years the idea of locally supplied, independent grids is back  Microgrids, being responsible for own ancillary services Maximum (optimal?) level of penetration of DER = difficult optimization exercise Special (technological) measures are necessary  E.g. in system control, mainly balancing Not only technology push, but also customer pull Conclusion

© Copyright Film: DISPOWER project Example: DISPOWER project Distributed Generation with High Penetration of Renewable Energy Sources Film avaiable at (company  innovation)

© Copyright