Lithium Ion Battery Energy Storage for Microgrids

Transcription

1 Lithium Ion Battery Energy Storage for Microgrids David Mall Power Up Defense Energy Forum Fort Walton Beach, FL October 28, 215

2 Saft. A world leader for advanced and innovative applications Saft is the world s leading designer, developer and manufacturer of advanced technology batteries for industrial and defense applications. The Group is implementing its strategy for high technology lithium ion batteries for clean vehicles and energy storage systems. With over 4, employees worldwide, Saft is present in 18 countries 2

3 Jacksonville Factory of the Future Construction of complete battery systems, automated cell manufacture through module production to assembly into ISO containers 235,ft 2 under roof, with a production capability of 372 MWh One of the largest rooftop photovoltaic systems in Florida with over 1 MW of solar power 3

4 Mature, reliable technology #1 worldwide in Li-ion satellite batteries Mercedes S4 hybrid First production vehicle with Li-ion Ferrari F1 KERS (and 4 other teams) F-35 Joint Strike Fighter Airbus A3 XWB 4

5 Saft s Energy Storage Projects Worldwide KEA Microgrid (new) Kotzebue, AK 5

6 Intensium Mini Systems Flexible power-to-energy ratio Main characteristics IP55 rated enclosure, solar shielding panels & roof Pry proof, secured enclosure Configuration: 2 ESSUs, 28 Synerion modules Each DC Voltage window : 79V 588V HVAC or Heat Exchanger option Integrated fire suppression Distribution Cabinet > Power & communication connections, AUX power, cable bottom entry Allows for maximum flexibility Transportation fully populated Syn24E Syn24M Syn24P Power (kw) Energy (kwh) Siting several systems together (up to 4) to increase power & energy footprint. 6

7 Intensium Max Containerized Systems Intensium Max for ancillary services and renewables smoothing 2-foot ISO containers Flexible power-to-energy ratio IM2E IM+2E IM2M IM+2M IM2P Power (kw) Energy (kwh) Integrated Power Conversion System Allows for maximum flexibility Transportation Siting 7

8 Matlab-Simulink models Modeling electrical, thermal & aging characteristics Extensively validated Used for battery sizing and what-if analyses Models run same algorithms as battery management systems Exactly mimic real battery behavior, including contactor management 8 Saft Energy Storage Overview, Mar 215

9 Fort Hunter Liggett (FHL) Microgrid Pilot Site of the DOD net zero energy initiative Two 1MW Solar PV systems installed, third planned Operate in net-metering mode to help reduce dependence on PG&E Interconnect agreement limits max power exported to 1MW, requires PV curtailment without storage PV can only operate in grid-connected mode; cannot operate during an outage PV also does not peak demand charges 1.25MW / 1.MWh Battery Energy Storage System added to address these issues and maximize returns on renewable investment 9

10 Fort Hunter Liggett (FHL) Microgrid 1

11 Fort Hunter Liggett (FHL) Microgrid Saft provided two Intensium Max 2M containers, connected to two 63kW inverters BESS provides: Energy Shifting Demand Charge Management Enables Islanded Operation, providing energy surety to the base 11

12 NTPC Colville Lake Microgrid 3- kw base load; 1 kw peak Diesel fuel delivery only by ice road Cost of generation ~$2.6 / kwh! New power station 2 x 1 kw diesels + 1 kw diesel kw PV installed in 214, expanded in 215 Without storage a diesel must run 24 / 7 Covering sudden PV ramps PV curtailment likely in order to run diesel efficiently No possibility to cover entire load with PV 12

13 Battery Energy Storage System Energy storage added to maximize fuel savings Saft provided an Intensium Max 2M BESS with Artic Package containing 2 kw / 231 kwh with internal PCS Insulation for C performance & Hydronic heating coil for glycol heating BESS allows network operation without diesels Voltage-source 4-quadrant PCS sets frequency and voltage Allows PV array to be sized larger than connected loads 13

14 Optimizing PV Size Used NTPC-supplied load and Enphase-supplied PV data System modeling used to analyze PV size vs. fuel savings Diesel consumption begins to level out at PV output factor >2.5 Recommended PV expansion to ~13 kw Based on just avoiding PV curtailment on average production day 14

15 Importance of modeling Modeling allows fuel savings to be quantified No PV generation Average PV Generation High PV Generation Power (kw) Batt Power (kw) PV PVnet Load Diesel Power (kw) Batt Power (kw) PV PVnet Load Diesel Power (kw) Batt Power (kw) 1 1 PV PVnet Load Diesel SOC (%) 6 4 SOC (%) SOC (%) % fuel saved 37% fuel saved 65% fuel saved 15

16 Managing PV curtailment using Microinverters Use of Enphase microinverters with no central controller Normal curtailment is via frequency droop Curtailment needed when battery reaches full state of charge Frequency droop control not possible without rotating equipment on the network Curtailment managed by switching off array sections Power (kw) Batt Power (kw) SOC (%) 1 1 PV PVnet Load Diesel

17 Scalability and Flexibility Colville Lake BESS Expansion System is designed for expandability Battery container designed to accommodate doubling energy to 462 kwh Further reduce PV curtailment and fuel consumption Deployment of wind turbines also a possibility 4 ESSU s Power (kw) Power (kw) ESSU s PV PVnet Load Diesel PV PVnet Load Diesel Battery configuration 4 ESSUs 8 ESSUs Load kwh 253 Diesel only fuel consumption (gal) PV total (kwh) 28 PV curtailment (kwh) PV net (kwh) PV % of load 65% 74% Diesel fuel consumption (gal)

18 Questions?