Download - Optimization for a Smarter Energy World!
Optimization for a Smarter Energy World !
Sortie officielle de la cartographie SmartGrid
Namur, April 11 2016
The best of advanced analytics for optimal decision-making
Mathematical sciences
Business engineering
Computer science
Our professionals provide you with combined expertise in:
State-of-the-art mathematics and algorithms are at the heart of N-SIDE’s innovation
Providing tailored software solutions & services to optimize decision making
Maximize profitsBe agile Manage risks
2
3
DescriptiveDetailed mathematical models to describe complexity and
opportunities
PredictiveAdvanced forecast to be ahead of risk/opportunity
PrescriptiveEfficient algorithm to generate optimal
decisions
N-S
IDE
APPR
OAC
H The best of advanced analytics for optimal decision-making
Market coupling Optimization
Energy Flexibility Optimization
MicroGridOptimization
Optimization for a smarter Energy World
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Market Coupling Optimization
EUPHEMIA by N-SIDE
Day-ahead electricity prices in Europe are calculated everyday thanks to N-Side algorithms
Extension to
Whole
Europe
underway
> “EUPHEMIA”: market coupling algorithm for European Power exchange, implemented and developed in-house by N-SIDE, from theory to operations
> Used daily by Power Exchanges to fix pan-EU day-ahead electricity prices in 19 EU countries
> Computing market prices & volumes by: coupling national markets maximizing total economical welfare optimizing network capacity utilization modeling complex constraints
Modeling and Optimization of Electricity Markets
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Energy Flexibility Optimization
ENERTOP by N-SIDE
Energy Flexibility Optimization with the best of advanced analytics
Flexible Load Models
CHP Models
RES Models
Storage Models
EVs Models
Efficient Mathematical Modellings
Planning Optimization
Real-time Optim.
Investment Optimization
Aggregation Optim.
Bidding Optimization
Advanced Optimization Algorithms
+
DA Market Forecast
Balancing Opporunities
Reserve Markets
Demand Forecast
Contracts Model
Accurate Forecasts
+ =CustomizedFlexibilityOptimization Solutions
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Mathematical models to describe plant complexity…A mathematical model is key for considering all factors in an integrated way…
Grid and market interaction• Different electricity
contracts (OTC, spot based)
• Capacity constraints
Storage facilities• Min-max capacities• Storage target
Industrial processes• All input and output flows• Maximal Stop/Day
• Minimal time OFF• ON-Off procedure• Operating rates
Economics• RM, electricity costs• Opportunity costs• Fix and variable
operating costs• Incentive from DR
programs 9
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Example : Mathematical Model of Cement Plants
Product Demand• Quantities and delivery dates• Must / May serve
… and the differents energy flexibilities
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Produce electricity at optimal moment
ElectricityGeneration
Electricity Consumption
Consume electricity at optimal moment
Load Shifting
Load Scheduling
Load SheddingElectricity Storage
B
A
C F
CHP ModulationE
Fuel SwitchingD
Advanced forecasts to be ahead of risk/opportunities
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Statistics and Machine learning techniques
Spot Price Forecast
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Probalistic Approach
Statistics and Machine learning techniques
Spot Price Forecast
1° Reserve composition: Quantity reserved / Marginal cost for each reserve
2° Imbalance volume on previous Quarter
3° External unpredicted change
Imbalance orientation:
Level of Imbalance:
Balancing Opportunity Forecast
Advanced forecasts to be ahead of risk/opportunities2
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Probalistic Approach
Spot Price Forecast
1° Reserve composition: Quantity reserved / Marginal cost for each reserve
2° Imbalance volume on previous Quarter
3° External unpredicted changes
Imbalance orientation:
Level of Imbalance:
Stochastic tree to generate what-if
scenarios
1° Demand : Order book
2° Process: Maintenance and machine failure
3° External factors
Combined What-if scenarios
Balancing Opportunity Forecast
Statistics and Machine learning techniques
Advanced forecasts to be ahead of risk/opportunities2
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Spot Price Forecast
1° Reserve composition: Quantity reserved / Marginal cost for each reserve
2° Imbalance volume on previous Quarter
3° External unpredicted changes
Stochastic tree to generate what-if scenarios
1° Demand : Order book
2° Process: Maintenance and machine failure
3° External factors
Combined What-if Scenarios
Probalistic ApproachImbalance orientation:
Level of Imbalance:
Balancing Opportunity Forecast
Statistics and Machine learning techniques
Advanced forecasts to be ahead of risk/opportunities2
Efficient algorithms to generate optimal planning….
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Advanced Algorithm
Accurate resultsFast running
Robust SolutionIntuitive
Planning
Electricity price forecast
Risk Factors forecast
Mathematical modeling
Optimized planning
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… leveraging the different flexibility levers in a integrated way…
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Produce electricity at optimal moment
ElectricityGeneration
Electricity Consumption
Consume electricity at optimal moment
Load Shifting
Load Scheduling
Load SheddingElectricity Storage
B
A
C F
CHP ModulationE
Fuel SwitchingD Inte
grat
ed O
ptim
izatio
n
Strategic Optimization
Reserve Optimization
Scheduling Optimization
Real-time Optimization
… and maximize savings on the different key timeframes
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• Optimal electricity contract
• Optimal investment in flexibility assets
• Optimal choice of flexibility products and volumes
• Optimal power and energy price
• Optimal scheduling of electricity load
• Optimal planning of CHP unit
• Optimal imbalance minimization
• Optimal activation management
InduStore• Objective: Quantify and Optimize Demand
Response potential in industrial sector in Wallonia
• 4 years project funded by walloon region (started in Oct. 2014)
• Partners: N-SIDE, UCL, ULg and ICEDD
• Objective: Optimize interaction between TSO and DSO to leverage flexibilities at local level
• 3 years H2020 projects starting in 2016• Partners: 22 including RSE, Siemens,
Vodafone, Energinet.dk, Terna, Sintef, VTT, VITO.
Innovative Projects on Energy Flexibility Optimization
MicroGrid Optimization
How to design and optimize my micro-grid in an optimal way ?
E-Cloud: Project for an Open Microgrid Solution
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• Optimized microgrids for industrial parks (eco-zoning):
Optimal investment in RES Optimal sharing of locally produced
electricity Optimal storage of electricity Optimal billing process managed by
DSO in charge of eco-zoning Optimal interaction with network
Two pilots projects in Wallonia
Partnership
Interested to know more ? Please contact us
Olivier DevolderEnergy Project ManagerTel: +32 472 46 83 44Email: [email protected]
N-SIDEWatson & Crick Hill Park – Bldg. H Rue Granbonpré, 11B- 1348 Louvain-la-Neuve