community microgrid initiative - ieee€¦ · community microgrid initiative overview greg thomson...

Making Clean Local Energy Accessible Now

Community Microgrid InitiativeOverview

Greg Thomson Director of Programs Clean Coalition 415-845-3872 mobile [email protected]

Confiden8al


2 Confiden'al

Clean Coalition Mission and Advisors

Board of Advisors Jeff Anderson

Co-‐founder and Former ED, Clean Economy Network

Josh Becker General Partner and Co-‐founder, New Cycle Capital

Pat Burt

CEO, Palo Alto Tech Group; Councilman & Former Mayor, City of Palo Alto

Jeff Brothers CEO, Sol Orchard

Jeffrey Byron Vice Chairman Na'onal Board of Directors, Cleantech Open; Former Commissioner, CEC

Rick DeGolia Senior Business Advisor, InVisM, Inc.

John Geesman Former Commissioner, CEC

Eric Gimon Independent Energy Expert

Patricia Glaza Principal, Arsenal Venture Partners

Mark Z. Jacobson Director of the Atmosphere/Energy Program &

Professor of Civil and Environmental Engineering, Stanford University

Dan Kammen Director of the Renewable and Appropriate Energy Laboratory at UC Berkeley; Former Chief Technical

Specialist for RE & EE, World Bank

Fred Keeley Treasurer, Santa Cruz County, and Former Speaker

pro Tempore of the California State Assembly

Felix Kramer Founder, California Cars Ini'a've

Amory B. Lovins Chairman and Chief Scien'st, Rocky Mountain

Ins'tute

L. Hunter Lovins President, Natural Capitalism Solu'ons

Ramamoorthy Ramesh Founding Director, DOE SunShot Ini'a've

Governor Bill RiFer Director, Colorado State University’s Center for the

New Energy Economy, and Former Colorado Governor

Terry Tamminen Former Secretary of the California EPA and Special Advisor to CA Governor Arnold Schwarzenegger

Jim Weldon Technology Execu've

R. James Woolsey Chairman, Founda'on for the Defense of Democracies; Former Director of Central

Intelligence (1993-‐1995)

Kurt Yeager Vice Chairman, Galvin Electricity Ini'a've; Former

CEO, Electric Power Research Ins'tute

Mission To accelerate the transition to renewable energy and a modern grid through technical,

policy, and project development expertise.


3 Confiden'al

Our 2020 Objectives

From 2020 onward, all new electricity generated in the U.S. will come from at least:

80% renewable sources 25% local renewable sources

By 2020, policies and programs will ensure the successful fulfillment of the above

Reflecting the full value of local renewable energy and a modern grid Including economic, environmental, and resilience benefits


4 Confiden'al

Our Vision: A Distributed, Integrated Grid


5 Confiden'al

Our Expertise Working with Utilities & Communities

Powerflow modeling; DER optimization •  PG&E •  PSEG

Procurement and interconnection •  LADWP, Fort

Collins, PSEG •  City of Palo Alto

(FIT and solar canopy RFP)

•  RAM, ReMAT •  Rule 21 & FERC

Design and implementation •  San Francisco, CA •  Long Island, NY •  U.S. Virgin Islands

Analysis & Planning

Program Design Community

Microgrid Projects Grid Modeling & Optimization

DG siting surveys; full DER cost and value analysis •  PG&E •  PSEG •  SCE


6

Community Microgrid Initiative

High levels of local renewables (25% or more) while maintaining and even improving grid reliability & resilience Technical & economic viability using a replicable and scalable model Accelerated deployments through strong partnerships with uTliTes, communiTes, and technology vendors Strong economies via increased local investment, more stable energy prices, and lower long-‐term costs system-‐wide

Result: A smarter distribu8on grid featuring more clean energy now, improved grid performance, and stronger long-‐term economics

Community Microgrids prove that high levels of local renewable energy provide a cost-‐effec8ve and reliable founda8on for the modern grid.

Four Key Benefits:


7

What is a Community Microgrid?

Highlights:

•  Scalable & replicable using the substa8on area as the founda8on

•  Cost-‐effec8ve due to scale and local op8miza8ons •  Leverages exis8ng u8lity distribu8on grid assets and

opera8ons •  Load-‐centric design reduces costly peaks •  Islands only cri8cal loads (can add more over 8me)

A Community Microgrid is a coordinated local grid area served by one or more distribu'on substa'ons and supported by high penetra'ons of local renewables and other distributed energy resources.

Community Microgrids reflect a new systems approach for distribu'on grid opera'ons that achieves a more sustainable, secure, and cost-‐effec've energy solu'on while generally providing long-‐term power backup for priori'zed loads.

The substa'on-‐level founda'on of a Community Microgrid delivers cost-‐effec've and replicable op'miza'on of grid opera'ons, distributed renewable energy systems, and customer sa'sfac'on across u'lity service territories.


8

Community Microgrids Achieve Scale, Lower Costs

Medium-‐Cost DER Capacity

e.g. 30% of total energy

Higher-‐Cost DER Capacity


•  Today’s “one-‐rooZop-‐at-‐a-‐8me” approach is slow, costly and disrup8ve to the grid

•  As a systems approach, “Local Capacity Targets” achieve scale, lower costs, and opera8onal stability

•  This “Plug-‐n-‐Play” method also enables apples-‐to-‐apples cost comparisons with centralized genera8on, which is already at scale

Examples of Local Capacity Targets

Distribu8on Grid

Lower-‐Cost DG Capacity


30 MW 15 MW

45 MW

•  Cost-‐effec8ve storage, demand response

•  Island cri8cal services, further peak reduc8on via more storage, local genera8on

•  Negligible grid upgrades, advanced inverters


9

C&I Customers: Great Match with Solar

C&I Match with Solar: 1.   Most GeneraTon Larger rooZop spaces generate more energy 2.   Lowest System Costs Larger systems reduce overall costs 3.   Best Grid LocaTons Large loads served by robust feeder segments 4.   Matching Load Profiles Larger day8me loads match solar genera8on 5.   Financially MoTvated Larger bills including demand charges, plus rooZop leasing opportunity


10 Confiden'al

C&I Match with Solar: Load Profiles


11

Result: Distributed Energy Resources can deploy at scale in months rather than years. A massive acceleraTon of “one roo`op at a Tme…”

A Community Microgrid in Six Steps

1. Goals:

Desired goals and performance metrics of the target grid area based on local resources and known or

an8cipated grid issues.

Includes renewables penetra8on goals, grid reliability & power quality performance targets, and power backup requirements.

2. Baseline Grid Analysis:

Inventory of the exis8ng grid

assets including load profiles,

voltage regula8on, feeder and transformer

capaci8es, and exis8ng

genera8on.

Includes iden8fying priori8zed services that require backup power during outages.

3. Renewable SiTng Survey:

Comprehensive survey of the renewable energy

poten8al in the target grid area specific to local resources & site characteris8cs.

Informs other requirements such as energy

storage capacity needs and control system

func8onality.

4. DER OpTmizaTon:

Design of op8mal DER porcolios combining renewables,

energy storage, and demand response.

Incorporates Baseline Grid Analysis and Renewables Survey to

achieve op8mal outcomes based

on local resources and grid assets.

5. Economic Analysis:

Full analysis of the cost-‐

benefits and net value including reduc8ons in

T&D investments, ratepayer

benefits, and local job crea8on.

Includes bulk procurement & interconnec8on that achieve a “plug-‐and-‐play” model, further reducing costs.

6. Deployment Plan:

Final system design, financial

model and opera8onal plan

for the Community Microgrid.

Includes vendor analysis (e.g. RFIs, RFPs)

appropriate to the final design criteria, financial

model, and opera8onal

requirements.


12

Taken together, local grid assets and characterisTcs unlock opTmal and cost-‐effecTve DER poreolios. The distribuTon grid becomes an asset that supports DER.

Op8mal DER

Porcolio

Local feeder capacity

Locally connected feeders

Local load shapes and

forecasts

Local avoided grid

upgrades

Local Market Value – e.g. Rates

Helps with local balance

Differen8ated customers, unique DER opportuni8es

Also extends to

system-‐wide

avoided costs

More reliable,

cost-‐predictable,

cleaner

In combina8on with the other characteris8cs

DER Optimization: Local is Fundamental


13

DER Optimization Modeling Methodology

Inputs Data, exis8ng grid: •  Loads, load forecas8ng

•  Network model & circuit map

•  Equipment list, upgrade plan, O&M schedule

•  Transmission constraints

Data, DER solu8ons: •  DG survey •  Solar insola8on •  Weather forecas8ng •  DER specs: advanced inverters, storage, DR, etc.

1. Baseline Powerflow

•  Acquire all data sets, validate data accuracy •  Model exisTng grid area, including exisTng DG

2. Lower-‐Cost DG Capacity •  IniTal DG level that requires negligible grid upgrades and manages voltage w/exisTng equipment & advanced inverters

•  OpTmize via locaTons, sizes, types, costs, system deferrals

3. Medium-‐Cost DER Capacity •  Target DER level in context of net grid value that adds cost-‐effecTve storage & DR. May require moderate grid upgrades.


4. Higher-‐Cost DER Capacity •  Higher DER level incl. storage & local generaTon (e.g. Fuel Cells, CHP) that further miTgate variability & peaks while islanding criTcal services


Outputs

•  Scalable, cost-‐effec8ve, opera8onally viable DER Op8miza8on plan

•  Results validated with u8lity & tech vendors

•  Grid reliability & power quality maintained or improved


14

Optimal Locations are Key to Unlocking DER

For example, idenTfying PV opTmal locaTons via:

1.  Robust feeder loca8ons: less resistance (lower Ohms) means more capacity for local genera8on

2.  Matching load types: e.g. higher loads during day8me means bejer match for PV

3.  Avoided costs: service transformers, etc.

PV locaTons & sizes

Resistance in Ohms

ExisTng load sizes Feeder map based on resistance (Ohms)


15

Additional Optimization: “Substation-as-a-System”

Connected feeders enables substaTon-‐wide opTmizaTons, such as:

1.  “Crossfeeding,” e.g. over-‐genera8on on certain feeders consumed by load on other feeders in the substa8on area

2.  Op8mizing DER such as storage and demand response across the substa8on feeders 3.  Op8mizing sekngs, e.g. load tap changers, across the substa8on feeders

Feeders connected across substaTon


16 Confiden'al

Additional Optimization: Advanced Inverters

1.  6AM: •  No PV impact

2.  Noon: •  20MW PV causes

overvoltage

3.  Noon: •  20MW PV with

advanced inverters set at 0.9 power factor stabilizes voltage


17

Hunters Point Community Microgrid Project

Overview

  Innova8ve project in the Bayview-‐Hunters Point area of San Francisco, in collabora8on with PG&E

  Showcase loca8on demonstra8ng the value of Community Microgrids

  DG / DER Op8miza8on using exis8ng tools that can be replicated easily by any u8lity, for any community area

  Methodology and results used as key input to the CPUC’s final DRP ruling requiring “plug-‐and-‐play” model for DER

The Hunters Point substaTon serves ~20,000 customers (about 90% residenTal, 10% commercial &

industrial)


18

Hunters Point Substation Boundary Hunters Point Substation & Served Communities

Bayview

Hunters Point


19 Confiden'al

Results to Date: “Lower-Cost DG Capacity”

The Hunters Point substa8on area demonstrates that high penetra8ons of DG are achievable at a very low cost to the grid:

  30 MW of new PV added to the substaTon feeders at opTmal locaTons, equaling 25% of total annual energy   20 MW added to select Commercial & Industrial sites matching low resistance loca8ons with higher day8me loads   10 MW added to select Residen8al sites (mul8ple dwelling units) matching more robust feeder loca8ons

  No adverse impacts to distribuTon grid operaTons   No Out-‐of-‐Range voltages. Voltage regula8on achieved using exis8ng Load Tap Changers (advanced inverters not needed yet).   No Backfeeding to Transmission. Some “Crossfeeding” between feeders.


20

Hunters Point: Weekday No PV vs 30MW PV

Increased Voltage

regula8on ac8on w/o Advanced Inverter

Feeder “Crossfeeding,” no Backfeeding to Transmission


21

Hunters Point: Weekday No PV vs 30MW PV

Voltage remains between

114V & 126V


22

Hunters Point: Weekend No PV vs 30MW PV

Increased Voltage

regula8on ac8on w/o Advanced Inverter

Feeder “Crossfeeding,” no Backfeeding to Transmission


23

Hunters Point: Weekend No PV vs 30MW PV

Voltage remains between

114V & 126V


24

Long Island Community Microgrid Project

Overview

  NYSERDA grant award in collabora8on with Public Service Enterprise Group (PSEG) Long Island and Long Island Power Authority (LIPA) for the East Hampton area of Long Island

  Systems approach deferring large transmission costs, reducing the use of local diesel generators during peaks, and maintaining cri8cal loads

  Features high penetra8ons of solar of up to 15 MW combined with a 5 MW / 25 MWh bajery system, across two feeders

  U8lizes the same local renewables/DER op8miza8on methodology as Hunters Point

  6-‐month Feasibility Assessment star8ng May 15, 2015. RFPs for storage and controller vendors, PPA for solar.


25 Confiden'al

LICMP Area Map

PSEGLI Web Map,+,,i3¡,:'ttl¡', [::l]

iú :v fr, l|É s ffl¿r rç,. 4t

ùèô!rt +rf

in'ee Ä1,,rl.ll!t'.-{

Itc Hortfiwe¡t

t{rrbora:t.t

5¿çH¡,oi.

8:r

f-al

ll.,r lh *e,:l¡{; r tr, r

r-¡:urtlì F;fl.

Þ-f, tt

.t

óà\,

! *'j).\ç-t?{'o ãa

ú'a

5È

h ¿r4r, r o\ t

Fth

*,,

st l.i + ÈíE

L¡Ecrì

ct

ôâ

+c

f

tJ'þt '¡t I+ ¿rat

tterÊ

ut>

Qt..t1,!f

a.qtg+

åe. ( oof,,,, ,,, ù -_..f 'Ll

a

-4"e4

,l

9!lD

J

E7a

'tvoî

¡L

E;sr Hrnp,tt'nrlx¡r rl

''¡¡ r,'6¿¿'þ'U

@

Sprin gr

+ +*'1

¡ir¡ Ë!r-Ltrl ¡ 1.''

1,.'.4

l.É rr r ,¡ ì,1,:, ., t¡F¿ll F-¡rI{*

j

'a4

É

N;¡'>lJu*:-.r;1È F'è rt

st)¿ q,

I io+og

b+fo*rrr Ln

Amagrn $o\t'

+ò

'l) çdF10t'

¿4

ètr*rl

fi,4nÉ f rrr$óLÓ

Ln4¡n-ø*e

rnI l:-ri -1,: rr.: r lt¡[

March 30,2015

ltra D e TnrrmENT-1¡fnrr.B. F,trsp /PuAp Srnrta¡t

\,\âres Ftrrsv f ?u, p .*arto N

@@

su- hntzqFV- 4¡, â 0

0

0.751:72,2241.5 3mi

1.25 2.5 5km

Sources: Esri, HERE, DeLorme, USGS, lntermap, increment PCorp, NRCAN, Esri Japan, METI, Esri China (Hong Kong), Esri(rhailand), TomTom, Mapmylndia, @ OpenStreefVlap contributors,and the GIS User Community


26 Confiden'al

LICMP Load Profile

The diagram below is an annualized view of a feeder in same substa8on with similar customer types. This is the assumed profile for each of the two feeders in the LICMP.


27 Confiden'al

LICMP Critical Load Sites

Bridgehampton Road Well Field, Pump StaTon and OperaTons Center 42 Montauk Highway, East Hampton, NY 11937 •  Site contains four wells at 40, 50, 75 and 75 horsepower each along with a chemical

treatment facility, an iron removal filtra8on system, granular ac8vated carbon filter, small opera8ons office, warehouse and fueling facility.

•  LIPA Electric Acct # 992-‐07-‐0025-‐1 •  Site contains an exis8ng 250KW emergency backup generator Oak View Highway Well Field and Pump StaTon 127 Oak View Highway, East Hampton, NY 11937 •  Site contains three wells at 30, 75 and 40 horsepower each (4th well currently under

construc8on es8mated to be a 50 horsepower pump) along with a chemical treatment facility.

•  LIPA Electric Acct # 994-‐98-‐1450-‐1 •  Site contains an exis8ng 125 KW emergency backup generator Springs Fire District facility 179 Fort Pond Boulevard, East Hampton, NY •  Other details pending


28 Confiden'al

LICMP Critical Load Sites – Profiles


29 Confiden'al

LICMP Critical Load Sites – Profiles


30

Hunters Point DG Benefits: 50 MW New PV = 25% Total Energy

Energy Cost Parity: Solar vs. NG, LCOE $260M: Spent locally vs. remote $80M: Avoided transmission costs $30M: Avoided power interrup8ons

Economic $200M: New regional impact $100M: Added local wages 1,700 Job-‐Years: New near-‐term and ongoing employment $10M: Site leasing income

Benefits from 50 MW New PV Over 20 Years

Environmental 78M lbs.: Annual reduc8ons in GHG emissions 15M Gallons: Annual water savings 375: Acres of land preserved

Example: 180 Napolean St. •  PV Sq. Ft = 47,600 •  System size = 714 kW

Example: 1485 Bay Shore •  PV Sq. Ft = 37,800 •  System size = 567 kW

Example: 50 avg. rooZops •  Avg. PV Sq. Ft = 343 •  Avg. system size = 5 kW

Commercial: 18 MW Parking Lots: 2 MW ResidenTal & MDU: 10 MW

50 MW Total = ExisTng Structures @ 30 MW + Redev Zone @ 20 MW


31 Confiden'al

A Peek at our Community Microgrid Future

Ecoplexus project at the Valencia Gardens Apartments in SF. ~800 kW serving ~80% of the total annual load.

community microgrid initiative - ieee€¦ · community microgrid initiative overview greg thomson...

Documents