distribution network planning
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Distribution Network Planning. Daniel Desrosiers, P. Eng Engineering Consulting Services. What is Planning?. Planning (also called forethought ) is the process of thinking about and organizing the activities required to achieve a desired goal . - PowerPoint PPT PresentationTRANSCRIPT
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Distribution Network Planning
Daniel Desrosiers, P. EngEngineering Consulting Services
2© 2013 Eaton. All Rights Reserved.
What is Planning?
• Planning (also called forethought) is the process of thinking about and organizing the activities required to achieve a desired goal.
• Planning involves the creation and maintenance of a plan. As such, planning is a fundamental property of intelligent behavior. This thought process is essential to the creation and refinement of a plan, or integration of it with other plans; that is, it combines forecasting of developments with the preparation of scenarios of how to react to them.
From Wikipedia, the free encyclopedia
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Network Planning Goals
• Reach all consumers wanting to be connected.
• Meet their demand.• Provide satisfactory power supply
reliability.• Provide power supply quality.
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Planning and Forecast
• An important, albeit often ignored aspect of planning, is the relationship it holds with forecasting. Forecasting can be described as predicting what the future will look like, whereas planning predicts what the future should look like.[1] The counterpart to planning is spontaneous order.
From Wikipedia, the free encyclopedia
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Planning Overview
5
The evolution of a distribution power system comprises a number of stages of development
Although capacity, security and quality/efficiency of supply are of concern throughout the development of a system, the focus shifts over time. In the early stages of rapid load growth or reconstruction, the priority is to build sufficient capacity to meet the load demands. Following establishment of the network and loads, security of supply becomes a critical factor. Once the system has matured, the focus is on optimization in terms of supplyquality and efficiency.
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The EnvironmentSTRATEGIC PLANNING
DISTRIBUTION NETWORK PLANNING
SUBTRANSMISSION NETWORK
GENERATION CAPACITY
CUSTOMER CONNECTIONS
LOAD FORECASTING
CITY/TOWN PLANNING
RENEWABLE AND ALTERNATIVE
ENERGY SOLUTIONS
PROTECTION, RELIABILITY AND
QUALITY OF SUPPLY
NETWORK OPERATIONS &
SYSTEM DESIGN
ASSETS MANAGEMENT AND
CAPITAL/RESOURCES PLANNING
JOIN WORKING WITH OTHER
UTILITIES
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High Level Planning Process
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Network Analysis Part
Get Reference network YEAR n
Identify and validate solutions
Yearly T&D Scheduled
Projects and Improvements for YEAR n+1
Obtain New Yearly Network Model
Run Simulations
Introduce new loads, Apply Load growth
All ok?
>Last Year
TheEnd
Network becomes the Reference
network for year n+1
No
Update future yearly projects list
Increment YEAR counter
No Yes
Yes
Start
Review and optimize projects
plan
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Finding Solutions
Identify and validate solutions
Network Solutions
Preliminary $ Estimate
Non-Network Solutions
Risk Assessment
Compare Solutions
Technical and financial
Recommendation
Update Projects list
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Why use modern power system tools?
•Although most network planning related calculations could be done by hand, doing so will limit the number of studied solutions
•Using modern power system analysis tools makes it easy to create multiple project scenarios thus increasing planning quality
•Single data entry + Automation of data integration from multiple sources
•Territory or sub network approach allowing quick check of the entire network performance
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Modern Power System Software is to planning what spreadsheet software was to accounting in the 80’ A wise man at Cooper/Cyme
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Power System Analysis Tools
What should we look for :• It should be flexible allowing variable focus for the studies
• It should allow easy integration of forecast• Provide on demand recalculation• Answer questions, support decisions• Complete: take into consideration all the environment and integrate various data sources
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Keeping up with the network!
Analysis Safety Load Time Capacity Security Quality / Efficiency
Load Flow Load Allocation Load Balancing Load Flow with Profile Network Forecaster Fault Analysis Capacitor Placement Protective Device coordination Load Flow Contingency Voltage Stability - PV Approach Single contingency Resoration Service Restoration Switching Optimization Arc Flash Hazards Volt/Var Optimization Long Term Dynamic Reliability Assessment Harmonic Transient Stability Optimal Power Flow Motor Start
Focus
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Environment – Network Connection
CYMDI ST Gateway
GI S Customer Information
Enterprise Systems
CYMDI ST Network
Model
- ESRI ArcGIS 9.x- Smallworld 3.3, 4.x- Intergraph G/Technology 9.4
- LoadStar- PI -Historian- WireVision- AMR- etc.
Geographic, Connectivity, Settings
Loads, consumption,
demands
- DMS- OMS- SCADA- Maximo- etc.
- Oracle 9, 10, 11- SQL Server 2000, 2005, 2008- MS Access 2000/2003- Self-Contained Study (XML)
Settings, events history
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Study case 1: PF correction
PF MW MVAMVARS (deficit)
new Mvars (capacitors)
Potential savings $M (see note)
80% 2298 2873 172490% 2298 2553 1113 611 42.2$ 95% 2298 2419 755 968 66.9$
% of deployement
MVARSCost
(@50$/kVAR)Savings
10% 96.8 4.84$ 6.69$ 25% 242.0 12.10$ 16.71$ 40% 387.3 19.36$ 26.74$
100% 968.2 48.41$ 66.86$
Note: 265 MVAR of capacitor banks installed, reducing demand by 47 megawatts, valued at $18.3 million annually
Problem: Reducing losses associated with poor PF at feeder level.
Analysis used: Optimal capacitor placement
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Study case 2: VAR optimization
Problem: Good PF at peak but needed better management off-peak.Analysis used: Volt Vars optimization (VVO)
1
Peak
2
3
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Study Case 3: Voltage Optimization
Problem: Initial voltage profile showing little margin for optimization (see below)
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Study Case 3: Voltage Optimization
We applied various mitigation solutions: phase balancing, cap banks and voltage regulators relocation and addition. Results after corrections:
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0.97
0.98
0.99
1.00
1.01
1.02
1.03
1.04
1.05
1.06
0% 20% 40% 60% 80% 100% 120%
MV
volta
ge (p
.u.)
% of peak level
Min and Max voltage vs load level
Voltage (at MV) Lowest
Voltage (at MV) Highest
Study Case 3: Voltage Optimization
We looked at the global picture for potential:
0.00
0.20
0.40
0.60
0.80
1.00
0% 20% 40% 60% 80% 100%
% o
f Jul
y pe
ak lo
ad
% of time
Load Values (max to min)
2
1
Margin
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Study Case 3: Voltage Optimization
How does the margin translates in $$$?
Peak demand opportunitySubstation peak 22893 KW (based on July readings)
Reduction/voltage margin 0.4 0.6 0.8 1.01% 92 137 183 2292% 183 275 366 4583% 275 412 549 6874% 366 549 733 916
Potential capital cost saving @ 500.00$ / kW
Reduction/voltage margin 0.4 0.6 0.8 1.01% 45,786$ 68,679$ 91,572$ 114,465$ 2% 91,572$ 137,358$ 183,144$ 228,930$ 3% 137,358$ 206,037$ 274,716$ 343,395$ 4% 183,144$ 274,716$ 366,288$ 457,860$
CVR effi ciency factor (% saving vs % voltage reduction)
CVR effi ciency factor (% saving vs % voltage reduction)
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Study Case 3: Voltage Optimization
How does the margin translates in $$$?Energy opportunity (month of July)Total Energy at sub. 9497623 kWh (based on hourly July readings)
Reduction/voltage margin 0.4 0.6 0.8 1.01% 37990 56986 75981 949762% 75981 113971 151962 1899523% 113971 170957 227943 2849294% 151962 227943 303924 379905
Potential energy efficiency saving @ 0.04$ / kWh
Reduction/voltage margin 0.4 0.6 0.8 1.01% 1,520$ 2,279$ 3,039$ 3,799$ 2% 3,039$ 4,559$ 6,078$ 7,598$ 3% 4,559$ 6,838$ 9,118$ 11,397$ 4% 6,078$ 9,118$ 12,157$ 15,196$
CVR effi ciency factor (% saving vs % voltage reduction)
CVR effi ciency factor (% saving vs % voltage reduction)
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Remember:
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Questions? ...I know they have some!
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