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A

ccording to the International

Energy Agency, in 2015 the

world added more renewables-

based power generation capacity

than all other technologies

combined for the first time

ever. In the same year the total

global installed renewables

capacity surpassed installed coal

capacity. This rapid deployment

of renewables is an important

step toward meeting the COP21

Paris Agreement to limit CO

2

emissions. In some locations

the existing grid infrastructure

was not designed to handle this

influx of often intermittent, and

often distributed generation but

other locations have been able

to accommodate several GWs of

renewables without significant

system change.

This trend toward increasing

renewables deployment is

expected to accelerate over the

coming decades. In its baseline

New Policies Scenario the IEA

predicts that by 2040 total global

generation capacity will increase

by more than 60% to more than

11,000 GW, and over 45% of this

total will be renewables capacity.

This shift to more renewables

capacity combined with the other

transformations in the ecosystem

require new ways of thinking

about the electricity system. Grid

operators and system planners

face many challenges including

the following:

• Integration of variable and

distributed generation

• Flat load growth—but faster

ramps with higher peaks

• Multiple gas turbine starts

per day

• Thermal fleets dispatched

to minimum loads

• Increased need for operating

spinning reserve

• Weak grid infrastructure

• Reducing emissions

The California Independent

System Operator (CAISO)

created the “Duck Curve” to

demonstrate the challenges of

managing a changing electricity

grid as more renewables are

introduced into a system that

does not have enough flexible

resources to ensure grid

reliability. Hybrid solutions are

well suited to address these

challenges, and in fact, several

gas turbine/battery storage

hybrid systems have already

been deployed in California.

28,000

26,000

24,000

22,000

20,000

18,000

16,000

14,000

12,000

10,000

12 a.m.

3 a.m.

6 a.m.

Hour

Megawatts

9 a.m.

12 p.m.

3 p.m.

6 p.m.

9 p.m.

2012

(actual)

2013

(actual)

2014

2015

2016

2017

2020

2019

over generation risk

ramp need

~13,000 MW

in three hours

2018

Typical Spring Day

The duck curve shows steep ramping

needs and over generation risk

TYPICAL SPRING DAY

Hybrid solutions:

value

Use Case

Typical Hybrid Solutions

Typical Outcomes

Grid Autonomy

(Micro/Offgrid)

• Solar PV + BESS Storage +

Reciprocating Engine

Access to electricity everywhere

• Increase the availability of electricity to under-

served regions or regions with no access

• Increase grid stability in weak grid locations

• Reduce fuel costs by displacing some of the fossil

fuel with solar PV

• Portable – can be relocated if needs change

Dispatchability

of Renewables

• GT + Wind/PV + Storage

• Recips + Wind/PV + Storage

• Wind + Storage

• Solar + Storage

• Wind + Solar + Storage

• Hydro + Solar

• Wind Integrated Solar Energy

Baseload generation with renewables

• Reduce or eliminate curtailment by storing excess

supply for use during periods of low supply

• Increase the annual energy production through

complementary supply of wind and solar during

different times of the day

• Reduce system levelized cost of electricity

(LCOE) by optimizing the mix of renewables

and thermal supply

• Increase the predictability and dispatchability

of renewables to enable firm Power Purchase

Agreement participation

• Improve matching of production and consumption

CAPEX & OPEX

Improvement

• GT/CCGT + Storage

• Solar PV + BESS storage +

Reciprocating Engine

Using existing infrastructure and

O&M capabilities

• Reduced CAPEX by sharing plant electrical

evacuation equipment

• Reduce O&M costs through shared services

• Reduce fuel consumption and CO

2

emissions

by displacing fossil generation

• Reduce system LCOE by optimizing the mix

of renewables and thermal supply

T&D Deferral

• GT/CCGT + Storage

• Wind + Storage

• Solar + Storage

• Wind + Solar + Storage

• Hydro + Solar

• Solar PV + BESS Storage +

Reciprocating Engine

Storing energy to reduce stress on the

grid and reduce the need for newT&D

• Reduce T&D CAPEX by shifting generation

to meet peak loads

• Increase T&D expected lifecycle because

of lower peak utilization

• Enable more distributed energy resources

in the system

• Reduce peak demand charges by smoothing

the demand profile and avoiding load shedding

Peak Shaving,

Ramping,

Time Shifting

• GT/CCGT + Storage

• Wind + Storage

• Solar + Storage

• Wind + Solar + Storage

• Hydro + Solar

Increasing revenue opportunities

• Increase revenue through improved ability

to arbitrage wholesale power prices

• Increase revenue through increased participation

in multiple ancillary services markets

TYPICAL USE CASES

A hybrid PV plus battery storage hybrid power

plant stores energy generated by the PV portion

and selectively discharges the stored energy.

In Figure 1 below, the system is storing 100%

of the solar energy and shifting it (discharging)

later in the day in order to completely avoid

curtailment of the solar energy. Figure 2 is an

example of partial shifting approximately 30%

of the solar energy to a peak demand period

later in the day. In a solar firming application

(Figure 3), the intent is to maintain a steady plant

output at the grid point of interconnection.

0 4 8 12 16 20 24

24

Figure 3: Solar “Firming”

0 4 8 12 16 20

Figure 1: “Full shift” solar o set fuel burn

Output (KW)

0 4 8 12 16 20 24

Figure 3: Solar “Firming”

Figure 1: “Full shift” solar o set fuel burn

0 4 8 12 16 20 24

24

24

Figure 3: Solar “Firming”

0 4 8 12 16 20

Figure 1: “Full shift” solar o set fuel burn

Output (KW)

0 4 8 12 16 20

Figure 2: “Partial shift” solar to peak

Solar generation being stored

Battery

discharge

Licensed with permission from the California ISO. Any statements, conclusions, summaries or other

commentaries expressed herein do not reflect the opinions or endorsement of the California ISO.

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