Enhancing solar contribution in PV-Diesel Hybrid Power Plants with advanced Li-ion Energy Storage Systems Michael Lippert

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1 Enhancing solar contribution in PV-Diesel Hybrid Power Plants with advanced Li-ion Energy Storage Systems Michael Lippert Intersolar Munich, 1 June 215

2 Increasing numbers of microgrids Factors New facility with no grid connection Existing facility expanding beyond utility service limit Powering concerns Cost of diesel fuel (including handling to remote locations) Poor environmental image Maintenance costs 2

3 Types of microgrids Grid-connected Single point of common coupling Can disconnect as needed and operate autonomously Resiliency / energy security > Storm-prone areas > Military bases Remote Village power High cost of generation Military forward operating bases High cost of fuel delivery 3

4 Adding renewables to microgrids Solar and/or wind can substitute for diesel power But without storage, diesels still have to supply spinning reserves Typical penetration of PV 2-3% of diesel power with standard power electronics 5-6% of diesel power with dedicated software Energy storage allows maximum contribution of renewables Fuel savings can easily be 5% to 75% or more 4

5 More PV Less diesel with Storage: HOW? Increase PV penetration reduce genset runtime excess PV is buffered, not curtailed smoothing of PV Optimise operation of genset improve operating point of genset: efficiency and O&M cost reduce idle running Shut down of genset started only when needed run at full power (best efficiency) to support loads and recharge storage 5

6 Typical PV-Diesel Hybrid System 12 MW Industrial Load 6 x 2 MW Gensets PV 7.5 MW (63%) 18 MW (15%) up to Li-ion Battery 2min 2 hours Courtesy SMA 6

7 Scenarios for a 12 MW power plant PV Smoothing Avoids diesel up-and downramping Reasonable sizing battery power = 6% PV power Time shifting Diesel only for grid forming Storage = energy buffer Diesel savings doubled Diesel off Maximum savings Careful system sizing Source: Optimierung von industriellen PV Hybrid-Systeme durch Integration von Energiespeicherlösungen, M. Mostafa et.al. SMA, 3. Symposium Photovoltaische Solarenergie, Bad Staffelstein, 215 7

8 How much PV and how much diesel? Each site is different Load profile PV generation System constraints Environmental conditions Economic conditions Power generation cost Saving potential Different optimum depending on different cases Genset only PV + Diesel System #1 Most systems optimum in area of 4% to 15% PV + Diesel System #2 % 5% 1% 15% 2% PV penetration level Overall plant sizing and simulation is crucial to select the optimum size of each component Diesel only possible Diesel & medium sized storage Diesel & large sized storage 8

9 Microgrid example Load varying from 3kW to 7kW 1kW diesel 24-hour fuel consumption gal Add 1kW of PV Energy storage 12kW / 372kWh 9

10 SOC (%) SOC (%) SOC (%) Batt Power (kw) Batt Power (kw) Batt Power (kw) Power (kw) Power (kw) Power (kw) Microgrid example 1 PV Load Diesel 1 PV Load Diesel 1 PV Load Diesel l (45% saved) 2 l (72% saved) 17 l (85% saved) Modeling allows fuels savings to be quantified 1

11 NTPC Colville Lake microgrid 5 km north of Arctic Circle 15 inhabitants: 15 kw peak; 3 kw base load Temperatures -5 C to +35 C Diesel fuel delivery only by ice road Cost of generation ~$2.6 / kwh New power station 2 x 1 kw diesels + 15 kw diesel 5 kw of solar to be extended this year IM2M container 232 kwh with 24 kw PCS Includes Saft s Cold-weather package Insulation for 5 C performance Hydronic heating coil for glycol heating 11

12 Saft support to NTPC Developed complete control strategy Supported with Matlab modeling Emphasis on modeling Determine optimum size for PV expansion > From 5 kw to 14 kw Quantified fuel savings using NTPC load and PV data Developed cold-weather package for IM2 Hydronic heater and extra insulation for 5 C 12

13 Matlab models Modeling electrical and thermal characteristics of Liion battery modules Models run same algorithms as battery management systems, including ageing analysis Exactly mimic real battery behavior, including contactor management 13

14 Cobija PV diesel hybrid power plant Pando province, northern Bolivia Amazonian rain forest Not connected to national grid 65% electricity coverage World s largest PV-diesel hybrid 16MW diesel generation 8MW max load 5MW PV 2.2 MW Li-ion storage system 5% of Cobija power needs (37 GWh/yr; 9MW) Main stakeholders General contractor: Isotron SAU (Isastur Group)) Owner: ENDE (Empresa Nacional de Electricidad) Storage System: SMA, Saft 14

15 The storage solution 2.2 MW 1.2 MWh 2 containers Intensium Max 2 M 4 Sunny Central Storage 63 SMA compensation of PV fluctuations Fuel Save Controller SMA Calculates maximum PV injection to grid Smooth operation of gensets 15 Replaces 2 gensets 2 mio l fuel saving Commissioning December 214 Nb: SMA scope also comprises 6 Sunny Central 8CP-XT Courtesy SMA

16 Conclusion PV Hybrids represent attractive new market driven by increasing competitiveness of PV Potentially good business case Investors ask for high ROI, substantial savings / advantages Reliability and Power Quality are non negotiable Proven concepts & technologies preferred Storage helps to meet requirements for significant economic benefits through high PV penetration, and ensures operational excellence System layout, sizing & optimization are complex Specific to each case: close cooperation of developer and supplier Simulation capability is key! Need strong system control capability to manage multiple components and parameters 16

17 Thank You Special Thanks to Mohamed Mostafa, SMA Jim Mc Dowall, Saft Inc

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