Online optimization of battery energy storage system

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Reference no: EM131774863

Online Optimization of Battery Energy Storage System Using Particle Swarm Optimization for Islanded Microgrid

492_Microgrid.jpg

The model is microgrid is given in Fig. 1 and the details of converters and Inverter is given in Fig. 2. The BESS technology needs to useLithium-ion batteryand Polysulfide-bromine. The whole system must be simulated using MATLAB/Simulink.

Activities

1. State of Charge (SoC) based Charging/Discharging Control and Overcharging/Overdischarging protection using User Define Function Block

2. Logic Define for Buck and Boost Operation using User Define Function Block

3. Minimize the Size of BESS using PSO

4. Minimize the total cost of BESS using PSO

5. MPPT controller design for PV without partial shading using Grey Wolf Optimization (The Output of MPPT should be reference voltage)

6. Explanation of Objective function for Minimizing Size of BESS

7. Explanation of Objective function for Minimizing total cost of BESS

8. Explanation of Objective function for MPPT controller

Objective Functions:

Minimize

f1 = min(PBESS )

f2 = min(CCapital )

Minimize f3 = min(CO&M)

The Constraints of objective functions are:

PBESSmin  ≤ PBESS    ≤ PBESSmax

The Constraints of objective functions are:

PBESSmin ≤ PBESS ≤ PBESSmax

where PBESS is the rated power capacity of BESS (MW), PBESSmin is the allowed minimum rated power capacity and PBESSmax is the allowed maximum rated power capacity of BESS.

CBESSmin   ≤ CBESS    ≤ CBESSmax

where CBESS is the rated energy capacity of BESS (MW h), CBESSmin is the allowed minimum rated energy capacity and CBESSmax is the allowed maximum rated energy capacity of BESS

Fmin ≤ F ≤ Fmax

where F is the nominal frequency of the isolated microgrid (Hz.), Fmin is the allowed minimum nominal frequency of the isolated microgrid and Fmax is the allowed maximum nominal frequency of the isolated microgrid.

CCapital ≤ CmaxCapital

where CCapital is the capacity cost of BESS ($) and CmaxCapital is the maximum capacity cost of BESS ($).

CO&M ≤ CmaxO&M

where CO&M is the operating and maintenance cost ($/year) and CO&M is the maximum operating andmaintenance cost ($/year).

PV data and load data is given in excel file and other parameter value student can choose himself or can take from given references.

Results:
- Convergence rate of BESS Size
- Convergence rate of Capital Cost
- Convergence rate of Operating and Maintenance cost

- Frequency deviation of microgrid with and without optimization
- Voltage deviation of microgridwith and without optimization
- Shaved Peak load during Peak period using BESS*
- Power of BESSwith and without optimization
*Shaved Peak load of given Load Data. Battery Energy Storage System (BESS) will discharge only for peak period of load for Peak shaving application.

Attachment:- PV and Load Data.xlsx

Reference no: EM131774863

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Reviews

len1774863

12/20/2017 6:13:42 AM

? Note: Kerdphol consider Photovoltaic (PV), Hydro Generation and Mini Hydro Generation but in this mini project you need to use only given PV data. In addition, He did off-line optimization but you have to do online optimization. ? Mohanty design MPPT control with partial shading but in this project you need design MPPT without Partial shading. ? Please don’t use MATLAB/Simulink Optimization tool box for Optimization.

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