peak load management and demand response · 3 peak load management overview load•managementpeak...
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Peak Load Management and Demand Response
Agenda
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• What is meant by Peak Load Management
• TATA Power-DDL Pilot Auto Demand Response Project
• Project Salient Features
• Customer Engagement
• Project Architecture
• Learnings from Implementation
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Peak Load ManagementOverview
• Peak Load ManagementLoad management is the process of balancing the supply of electricity on the network with the electrical load by adjusting or controlling the load rather thanthe power station output.
PLM
Demand ResponseDemand Side Management
Partial Load Curtailment
Need of PLM
• Optimal utilization of energy resources by uniform distribution of load across the day
• Reduce costs by eliminating the need for peaking power
• To obviate additional investment in capacity addition
• Reduction in technical losses and enhanced customer satisfaction by load curtailment in place of load shedding
• Better utilization of variable renewable energy generation in the state as load management in specific time slots could provide valuable demand/supply balancing resources.
What is Demand Response- Concept
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Demand Response: relates to any program which encourages shift of demand by end consumers.
The participation of the end customers is a response to factors such as
incentive pricing,
new tariff schemes,
greater awareness and an increased sense of responsibility.
The end consumers agree to involvement, but their participation may involve
either active behavioral changes or passive responses, through the use of automation
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• DR is a consumer’s ability to alterelectricity consumption at their locationwhen prices are high or the reliability ofthe grid is threatened.
• Without economic impact or loss ofrevenue
Grid Relief achieved through alteration of usage pattern
Hydrapulper Cleansing & Deinking
Paper Machine
Grid Stress Notification Consumer Action
Curtail Hydrapulper & Deinking process and use pulp fromstorage to run the paper machine during peak hours
Customer Type Curtailment Opportunity
Industrial
Customers
• Slowing down or stopping production,
alternatively ramping up consumption if
required
Commercial
Customers
• Reducing / increasing use of lighting,
chillers, lifts, escalators
Domestic
Customers
• Raising the temperature of AC
thermostats; altering lighting loads
Concept of Demand Response (Participatory Load Management)
Load Curve- Delhi (source : http://www.delhisldc.org)
Measures to reduce Peak - Off peak Demand difference:
• Power purchase at Very High Cost (Short Term Basis)• Load Shedding (Load Cutting)• Demand Side Management-DSM
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Demand Response – Key Design Elements Components
Analysis of periods of overdrawal by the utility which translate into hoursof needs i.e. DR events
Supply Side Analysis
Energy performance of the participant and evaluation of the load profilesand demand reduction potential
Energy Performance
Analysis
Cost Benefit Analysis - CapEx, OpEx benefits, fiscal incentives based onpower purchase in wholesale markets
Awareness Creation among consumers
Business Model Design
The key design elements of a sample DR program have been illustrated through a case study
Salient Features of the Project
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Project Components include : Automated Demand Response
infrastructure including DR server and sitecontrollers
Smart Meters RF Mesh based Communication MDMS and its integration with other OT &
IT systems like OMS, SAP, ADR
Collaborative partnership withselected vendors
First Utility initiated AMI based ADR program in the country
Project approved by Regulator
Project Objectives: To manage peak demand To manage Grid Stress situations
Project being undertaken to demonstrate: Technological capability Understand customer behavior Case study for regulator to work on
differential tariffs and financial incentives. Processes required for scaling up
Process of Consumer Enrollment
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Step 1• Identification of Critical/ Non critical load through Site audit
Step 2• Installation of Controller and Control Wiring
Step 3
•DR Event notification to the consumer in case of grid stress
Step 4•Consumer Concurrence for Participation in DR
Step 5•Shedding of Identified Non Critical Loads during the DR slot
MDMS
Smart Meter
ADR with Smart Meter Architecture- Data Flow
HES
ControllerMDM Customer Portal
RF
DRAS
3G Cellular
NOC
DRAS Customer portal
InternetInternet
Major Challenges Faced
• Consumer enrollment
– No direct financial incentives for participating consumers
– Technical feasibility for enrollment … manual starters / MCB operated loads, continuous
automated process
– Lack of incentives also prevented consumers from changing manual starters, since there was
no payback for investment
• RF based communication Network for scattered consumer
• Design of ADR architecture with Smart meter (Integrations)
– Integration with existing IT-OT systems
– IT security
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Increased availability of electricity for all customers
Better awareness of individual load profile that helps to further identify opportunities for energy
efficiency and productivity improvement.
No Penalty if load is not reduced – No Payment due to non performance
Reduction in energy charges.
Helping customers better understand when they use energy and why it matter.
Giving more control to customers in managing their energy usage.
Proactive information to customers through call center.
All this value at no cost.
At the time of full roll out Incentives for consumer for participating in DR.
Benefits to Consumer- Participation in Pilot
Actual DR Event: 22nd August
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Learnings from Pilot-Analysis of Customer Types (1/2)
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0 5000 10000 15000 20000 25000
COLD STORAGE
FLOUR & DAL MILL
FOOTWEAR & PLASTIC
PRINTING
STEEL
HOSPITAL
OTHERS
10248
16891
6660
1528
2221
1970
24000
Shed Potential v/s Sanctioned Load
Sanctioned Load (KW) Shed Potential (KW)
INDUSTRY TYPECold
Storage Flour & Dal Mill
Footwear & Plastic
Printing steel Hospital Others TOTAL
No of Consumers
8 39 39 7 10 3 56 162
Shed Potential (KW)
1364 3292 1718 423 629 375 3700 11501
Sanctioned Load (KW)
10248 16891 6660 1528 2221 1970 24000 63518
Learnings from Pilot-Peak Demand & Reduction Achieved(2/2)
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0%
2%
4%
6%
8%
10%
12%
14%
16%
18%
0
5000
10000
15000
20000
25000
30000
35000
ColdStorage
Flour Mills& Dall Mill
Hospitals Footwear&Plastics
Printing Steelindustry
Others Total
Reduction Achieved v/s Peak Demand
Peak Demand (May-Oct 14) Demand reduction as % of peak demand
S.No Customer Category
Peak Demand (May-Oct 14) KW
Demand reduction as % of peak demand
1 Cold Storage 1500 15%
2 Flour Mills & Dall Mill 11500 16%
3 Hospitals 2100 16%
4 Footwear &Plastics 4300 14%
5 Printing 1000 13%
6 Steel industry 2000 8%
7 Others 9000 15%
8 Total 31400 Avg-14%
Audits Conducted: Sample Audit Findings Sharing
• Flour Mills
• Rubber Industry
• Commercial Complex
• Food Industry
• Education Industry
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Flour Mill
• 20 Flour Mills Audited
• 100% Enroll-ability
• 1136 kW Aggregate Shed Potential
• Average 56 kW Shed Potential per mill
• Typical Shed-able Loads
• Elevator
• Separator
• Destoner
• Drystoner
• Grinding machine
• Suction Fan
• DS / GS Fan
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Plastic Industry
• 10 Industries Audited
• 100% Enroll-ability
• 870 kW Aggregate Shed Potential
• Average 87 kW Shed Potential per industry
• Typical Shed-able Loads
• Extruder
• Mixer
• Compound m/c
• Eva Compound m/c
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Commercial Complex
• 6 Industries Audited
• 33% Enroll-ability
• 164 kW Aggregate Shed Potential
• Average 27 kW Shed Potential per industry
• Typical Shed-able Loads
• HVAC
• Chiller
• Condenser Pumps
• Cooling Towers
• Primary Pumps
• Air Handling Units
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Food Industry
• 10 Industries Audited
• 30% Enroll-ability
• 150 kW Aggregate Shed Potential
• Average 50 kW Shed Potential per industry
• Typical Shed-able Loads
• Cutting m/c
• Pre-cleaning m/c
• Cleaning m/c
• Washing m/c
• Chakki
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Education Industry
• 3 Industries Audited
• 100% Enroll-ability
• 137 kW Aggregate Shed Potential
• Average 46 kW Shed Potential per industry
• Typical Shed-able Loads
• Boring Pump
• Safety Tank Pump
• Split Air-conditioner
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