Abstract
This paper aims to optimize the cost of a battery and supercapacitor hybrid energy storage system (HESS) for dispatching solar power at one-hour increments for an entire day for megawatt-scale grid-connected photovoltaic (PV) arrays. A low-pass filter (LPF) is utilized to allocate the power between a battery and a supercapacitor (SC). The cost optimization of the HESS is calculated based on the time constant of the LPF through extensive simulations in a MATLAB/SIMULINK environment. Curve fitting and Particle Swarm Optimization (PSO) techniques are implemented to seek the optimum value of the LPF time constant. A fuzzy logic controller as a function of battery state of charge is developed to estimate the grid reference power for each one-hour dispatching period. Since the ambient temperature and PV cell temperature are different, this study also considers the relationship between them and presents their effects on energy storage cost calculations.
| Original language | English |
|---|---|
| Title of host publication | ECCE 2020 - IEEE Energy Conversion Congress and Exposition |
| Pages | 561-568 |
| Number of pages | 8 |
| ISBN (Electronic) | 9781728158266 |
| DOIs | |
| State | Published - Oct 11 2020 |
| Event | 12th Annual IEEE Energy Conversion Congress and Exposition, ECCE 2020 - Virtual, Detroit, United States Duration: Oct 11 2020 → Oct 15 2020 |
Publication series
| Name | ECCE 2020 - IEEE Energy Conversion Congress and Exposition |
|---|
Conference
| Conference | 12th Annual IEEE Energy Conversion Congress and Exposition, ECCE 2020 |
|---|---|
| Country/Territory | United States |
| City | Virtual, Detroit |
| Period | 10/11/20 → 10/15/20 |
Bibliographical note
Publisher Copyright:© 2020 IEEE.
Keywords
- cost analysis
- hourly dispatching
- hybrid energy storage system
- particle swarm optimization
- solar energy conversion
ASJC Scopus subject areas
- Electrical and Electronic Engineering
- Mechanical Engineering
- Control and Optimization
- Energy Engineering and Power Technology
