AN IN-LAB GRID FOR THE DEVELOPMENT OF ENERGY STORAGE FOR USE WITH WIND ENERGY

Transcription

1 1 AN IN-LAB GRID FOR THE DEVELOPMENT OF ENERGY STORAGE FOR USE WITH WIND ENERGY Professors: Annette von Jouanne, Ted Brekken, Alex Yokochi Students: Eunice Naswali, Hai Yue Han, David Naviaux, Chianna Alexander, Alex Bistrika

2 2 Outline Project Overview Goals In-lab grid schematic In-lab grid components Simulation Results Energy Storage Control Energy Storage System Super capacitors

3 3 Goals Optimize wind energy production and improve predictability of wind power using forecasting and largescale energy storage. Variability of wind limits wind power penetration and increases its cost. Initial Goal: Enable a wind farm output instantaneous power within 4% per unit of forecast, 90 % of the time. New Goal: Target to conform to BPA s persistent deviation definition (and perhaps include ramps as well). Number of hours within 4 or more consecutive hours the deviation between the generation and the scheduled exceeds both (i) 15% of the schedule for the hour and (ii) 20 MW in each hour.

4 Goals 4

5 IN-LAB GRID 5

6 In-lab Grid Schematic 6

7 7 In-lab Grid Components Control Computer dspace control 120 kva AWG programmable source (wind farm) Connection Board Point of common coupling WRIG hydro and pumped hydro source Slow response energy source Energy Storage System Zn Br flow cell battery 25 kw / 50 kwhr, medium response time, 75% efficiency Maxwell supercapacitors 25 kw, fast response time, 90% efficiency

8 8 Control Computer dspace/controldesk Control Central point for control, data acquisition and display. Automated synchronization and closing of rotational generation.

9 9 AWG 120 kva arbitrary waveform generator. Programmed for actual wind farm output power.

10 10 Connection Board Point of common coupling. SEL 751A relays for control and data acquisition.

11 11 WRIG 80 kw WRIG with DC field excitation to act like a synchronous generator. Emulate hydro generation and pumped hydro storage.

12 12 Energy Storage System 1 ZnBr flow cell battery. 25 kw / 50 kwhr, medium response time, 75% round trip efficiency.

13 13 Energy Storage System 2 Maxwell supercapacitors. 25 kw, fast response time, 90% efficiency.

14 SIMULATION RESULTS 14

15 15 Initial Simulation Results Three energy storage mediums Pumped hydro Large energy capacity Medium response ZnBr flow cell battery Medium energy capacity Medium-fast response Supercapacitors Low energy capacity Fast response

16 16 Simulation Matlab/Simulink energy storage and control

17 17 Energy Storage Control Single energy storage command is bandpass filtered to split the power command into three and passed to respective control mediums.

18 18 Energy Storage Modeling Power response modeled as first order, with time delay. Each energy storage medium characterized with efficiency, response time, delay time, rated power, and rated energy capacity. (Summarized on next slide).

19 19 Energy Storage Simulation Parameters Time constant Delay Prated (pu) Jrated (pu-hrs) Flow cell 1.2 s 1 s Supercapacitors 1 ms 0.1 ms Pumped hydro 20 s 10 s Efficiency (one-way) Pumped hydro power and energy rating determined as a pro-rated share of BPA s pumped hydro capacity (for one large wind farm).

20 20 Meeting the Forecast with Energy Storage In the top plot, there is an error between the wind plant output and the forecasted output. In the middle plot, the energy storage system supplements the wind plant output such that the combined wind plant and energy storage system output meets the forecast most of the time. In the bottom plot, the energy storage output matches command most of the time. Except for ramps!

21 21 Power by Energy Storage Medium ZnBr battery takes medium scale response. Supercaps take fast response. Pumped hydro takes slow response.

22 22 SOC by Energy Storage Medium Adequate amount of charge capacity is a big driver of energy storage cost. The necessary amount of charge capacity is dependent on the characteristics of the energy storage medium (e.g., response time, efficiency) and how it is controlled.

23 23 Energy Storage Control Next Steps Approach: borrow AGC (Automated Generation Control) concepts and apply it to a wind farm. This has benefits over the previously shown control in that it presents a robust and widely accepted framework for the control of multiple sources. The combined wind farm and energy storage plant becomes the area, and the forecast output becomes the inter-area schedule. The wind farm output becomes a negative load. Energy storage units can be controlled under frequency control for fast response and frequency regulation (supercapacitors), and also under AGC to regulate scheduled power and frequency errors. The AGC scheme can be modified to included considerations of energy storage health, response time, and SOC.

24 24 Energy Storage Control Next Steps Degrees of freedom: how do different energy storage mediums respond to both frequency and area control error (ACE)? After flow battery and supercapacitors are integrated in this way, it will be expanded to pumped hydro.

25 SUPERCAPACITORS 25

26 26 Supercapacitor Storage System Specifications Power 25 kw Pulse duration 90 s (to minimize access of battery) Vmax 290 V Vmin 155 V Temperature room Life ~ 10 years Size 18x 166F/48.6V modules, each module consists 18x 3000F/2.7V maxwell supercapacitors

27 27 Supercapacitor Storage System Equations 1. Determine capacitance of the system Module 166F 48.6V module 2. Determine number of modules in series and parallel

28 Supercapacitor model terminals, contacts, electrodes, electrolyte,.. Racc, Cacc transmission line behavior R/n, C/n self discharge due to leakage Rlk

29 Supercapacitor testing Characterization tests Constant Current - capacitance and ESR Constant Power specific power and specific energy Leakage losses during inactivity Self-Discharge - losses during inactivity Energy Efficiency Electrochemical Impedance Spectrometry capacitance, resistances in the model Lifetime tests Cycle-life

30 THANK YOU 30