advanced integrated planning

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ADVANCED INTEGRATED PLANNING THE DER DRIVEN TRANSFORMATION IMPERATIVE SEPA GRID EVOLUTION SUMMIT JULY 27, 2017

Erik Gilbert [email protected] 1

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OUR VIEW ON THE INDUSTRY TRANSFORMATION THE ENERGY CLOUD1

TODAY: TRADITIONAL POWER GRID Central, One-Way Power System

EMERGING: THE ENERGY CLOUD Distributed, Two-Way Power Flows

©2016 Navigant Consulting, Inc. All rights reserved.

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Navigating the Energy Transformation: Building a Competitive Advantage for Energy Cloud 2.0 (white paper) / ©2017 NAVIGANT CONSULTING, INC. ALL RIGHTS RESERVED

(Source: Navigant Consulting)

PUBLIC UTILITIES FORTNIGHTLY: STATE & FUTURE OF THE POWER INDUSTRY Survey of 400+ key industry professionals – July, 2017 “Which one of the following trends is the most disruptive to traditional utility business models over the next decade?” • Nearly half of the respondents cite increased penetration of DER as the most disruptive threat to traditional utility business models over the coming decade. • The effects of DER are industry-wide and will have a deep impact on the existing market. • DER was by far the dominant trend cited among respondents, with all other trends receiving only a small fraction of votes.

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DISTRIBIUTED ENERGY RESOURCES (DER): WHAT’S INCLUDED?

Distributed Generation

Demand Response

Distributed Storage

Energy Efficiency

Microgrids

Electric Vehicles

Resources can be utility, customer, or 3rd party owned on the grid in front of the meter or customer owned behind the meter. 4

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DER IN THE UNITED STATES WE FORECAST STRONG DER PENETRATION GROWTH OVER THE NEXT DECADE

Annual Installed DER Power Capacity Additions by DER Technology, United States: 2015-2024 Distributed Generation Distributed Energy Storage Microgrids Electric Vehicle Charging Load Demand Response Energy Efficiency

70,000

60,000

(MW)

50,000

40,000

30,000

20,000

10,000

2015

2016

2017

2018

2019

2020

(Source: Navigant Research)

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2021

2022

2023

2024

Observations • DER deployments will reach ~30 GW this year in the US, versus new central station generation (19.7GW) • On a 5-year basis (2015-2019), DER in the US is growing almost 3 times faster than central generation (168 GW vs. 57 GW).

EXAMPLE CHALLENGE: LOAD FORECASTING TRADITIONAL TECHNIQUES SHOWING SIGNS OF AGE •

“Past performance is no guarantee of future results” -

DERs are less predictable (both in installed capacity, and daily performance) Weather patterns seem to be breaking from long term trends Customer behavior (in some cases) is evolving New types of load not predicted or well understood yet (e.g., EVs, grow-ops)



Geo-special granularity now required



Recent system-wide forecasting misses—a few examples: -



Implications: -



Large Eastern utility misses spring/winter forecast: points to unusual weather Southern utility misses annual forecast significantly: reasons under review Mid-sized Northern IOU misses peak forecast on high-side for several years running: weather? Mid-Atlantic utility load forecast used to justify construction of large generating station: actual loads falling far short (economic downturn played a clear role here, and no-one predicted it, to be fair)

Under- or over- investment Investment/upgrades in wrong or too many locations revenue shortfalls

And there are challenges beyond forecasting…

Note: the availability of advanced modeling techniques and cost-effective big data computing power are no longer impediments to conducting advanced analytics & load forecasting with these data

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PLANNING MUST BE MORE AUTOMATED AS WELL AS INTEGRATED = ADVANCED INTEGRATED PLANNING Traditional Planning: • Largely internal to utility • Some coordination between planning functions • Stakeholder process engaged at the end of the cycle

Advanced Integrated Planning: • Integrated internal functions, as well as stakeholder process • “Optimization” of investment across customer, distribution, transmission, generation • Uncertainty and risk analysis fundamentally integrated Customer adoption scenarios: load and DER forecasts at zone/feeder level

Distribution planning

Load forecasting

Stakeholder processes Integrated Resource Planning

Regulators, City Council, etc.

Transmission planning

2-3 year planning cycle 7

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Revise programs and adjust strategies based on results and market feedback

Program and DER procurement priorities and grid investment

Stakeholder and regulatory input and adjustment

Sub-year iterations

Integrated customer, distribution, transmission and resource analysis

Strategic grid and resource investment and risk assessment

ADVANCED INTEGRATED PLANNING: HIGH LEVEL ANALYTICAL FRAMEWORK External Market:

Evolving technology and vendor landscape, new service providers, etc.

Internal Operations:

People and processes within utility planning functions

Visualization and Planning Management Layer

Internal Systems Context: OT/IT production

5. Coordination, Analysis and Integration (coordinated data flows with integrated benefit-cost and reliability analysis)

systems

1. Advanced Load and DER Forecasting (with integrated customer program / resource scenarios)

Add: Load profile management (daily, hourly); geospecial granularity

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DER Scenarios

Analysis coordination, automation and data flow control

Add: Cross Team and cross analysis coordination

Automation and Coordination

Wholesale Values of Capacity/Energy

Dynamic, standardized data exchange Impact of DER Installations Add: dynamic analysis (transient impacts)

2. Distribution Planning & Analysis

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Geo-special scenario data

Aggregate Load/DER

4. Integrated Resource Planning (IRP)

Add: system stability analysis: voltage oscillation risk

3. Transmission Planning & Analysis

Add: Criteria— Reliability Economic Environmental Risk/Uncertainty

ADVANCED INTEGRATED PLANNING: CAN START WITH EXISTING TOOL SETS

Visualization and Planning Management Layer

Broad array of commercial tools in use today

1. Advanced Load and DER Forecasting

• • • • • • • • • 9

Excel R dB/SQL SAS Analytica TROVE IA Energia Others evolving

5. Coordination, Analysis and Integration

• CYMDist (steady state & dynamic) • Synergi • Milsoft • DEW • GridLabD • PSSE: Network models needed to assess advanced concepts (e.g. networked systems)

2. Distribution Planning & Analysis

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• Python (Pandas, Django, d3.js, crossfilter.js, dc.js, leaflet.js) • HTML5

• Python Scripting • GRID+ (Benefit/Cost Analysis, Risk Assessment)

• Siemens PTI - PSSE, Python, MUST • Power world • GE - PLSF • Power Gem - TARA • Matlab • EMTP • PSCAD • Gridview

3. Transmission Planning & Analysis

4. Integrated Resource Planning (IRP) • • • • •

Promod Plexos Aurora Strategist POM

ANALYSIS OF CIRCUIT UPGRADE COSTS TO MEET DER PENETRATION LEVELS High-Level approach: • Analyze dynamic performance of distribution feeder for high penetration DER

System Upgrade Cost ($000)

Objectives: • Apply predictive modeling on representative distribution feeders to assess PQ impacts from variable renewable output • Assess the capability of advanced inverter functionality to mitigate PQ impacts

Standard Inverters $6,000

$5,000 $4,000

$3,000 $2,000 $1,000 $0%

50%

100%

DER Penetration (% of Feeder Thermal Rating)

= violation

Advanced Inverters $6,000 $5,000 $4,000

$3,000 $2,000 $1,000 $0%

50%

100%

DER Penetration (% of Feeder Thermal Rating)

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INVESTMENT OPTIMIZATION - ANALYSIS EXAMPLE OF GRID+ TOOL OUTPUTS

The net present value of deployed distribution grid capabilities is $3.2B Annual benefits and costs of investments (nominal $B)

Net present value of investments (2016 $B) 1.0

$3.2B

2.0

0.6

$B (nominal)

3.0

$B (present value)

Environmental Reliability Economic Costs

0.8

4.0

$1.5B

1.0

0.4 0.2 0.0 -0.2

0.0

-0.4 -1.0 -2.0 2005

-0.6 2005 2010

2015

2020

2025

2030

2035

2040

-4

-2

Scenario

Best

Expected

Worst

6.0

NPV ($B)

5.0

3.2

1.0

4.0

The best and worst case represent the 95th and 5th percentile outcomes, respectively.

0

2 4 $B (present value)

6

8

2020

2025

2030

2035

2040

2045

Distribution of costs and benefits across the value chain (2016 $B)

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$B (present value)

Likelihood of Occurrence -6

2015

2045

Uncertainty analysis for net present value (2016 $B)

Approximately 3% chance of negative NPV

2010

Environmental Reliability Economic Cost

2.0 0.0 -2.0 -4.0 -6.0

Generation

Transmission

Distribution

Customers

TO MEET THE IMPERATIVE… • Convene a cross-functional team charged with planning in a high-DER environment: -

examine how existing planning tool sets are used, and whether they can meet the more dynamic needs of high DER planning - understand the gaps, and what external tools are available and appropriate - Develop internal tools to coordinate across external planning tools processes

• Develop DER adoption scenarios that will impact the business - Develop corresponding load forecasts using newer, advanced techniques (bottom-up, data rich)

• Perform planning analyses for relevant parts of value chain (e.g. customer programs, distribution, transmission) • Optimize across potential investment and program areas • Iterate quickly, as situation on the ground and external market forces evolve

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