Energy Storage Control for Dispatching Photovoltaic Power

Abstract

The strong growth of the solar power generation industry requires an increasing need to predict the profile of solar power production over a day and develop highly efficient and optimized stand-alone and grid-connected photovoltaic systems. Moreover, the opportunities offered by Battery Energy Storage Systems (BESSs) coupled with PV systems require an ability to forecast the load power to optimize the size of the entire system composed of PV panels and storage devices. This paper presents a sizing and control strategy of BESSs for dispatching a photovoltaic generation farm in the 1-hour ahead and day-ahead markets. The forecasting of the solar irradiation and load power consumption is performed by developing a predictive model based on a feedforward neural network trained with the Levenberg-Marquardt back-propagation learning algorithm

A review of key functionalities of battery energy storage system in renewable energy integrated power systems

“…However, this may require the complex design to improve the converter's robustness with high power/energy transfer capability. The adoption of a battery storage system to reduce forecast error may not be always a cost effective approach 147 . The main determinants of cost‐benefit are the investment costs of battery, round trip efficiency, and service life. A large capacity of BESS is essential for reducing the error between the forecasted and the actual generation from RES which requires techno‐economic justification for the mandatory investment 151 The performance of smoothing is ameliorated by battery charging/discharging rates and thereby smoothing of high ramp rates may result better output profile but at a cost of quicker battery aging. Several minutes/hourly based dispatch strategy improves the charging/discharging profile of batteries than that of a constant output power smoothing and thus improves the life span of the battery. Dual‐BESS combination may significantly improve battery charging/discharging management and is capable of reducing the number of charge/discharge cycle; however, this will incur more cost due to additional battery set to maintain enough capacity of BESS 153 …”

“…Battery storage improves PV plant dispatchability by facilitating peak demand management, minimizing losses and charge/discharge cycles of the battery 20 . Dispatchability schedule to determine battery charging/discharging operation at a minimum cost may be based on forecasts generated 1 day ahead 20 or 1 hour ahead 151 which largely depends on the dispatch period and renewable generation types. A large size of BESS capacity is required in order to minimize the error between the forecasted PV and actual PV power dispatch.…”

A Digital Control System for UPS Systems With Smart-Grid Capability

“…UPS is a device that instantaneously provides electricity for the sensitive loads when power outages happen. UPS systems can efficiently integrate batteries into the grid and load through a converter [7,[10][11][12][13]. UPS systems operate in two modes: normal mode and backup mode.…”

Cyber-attack localisation and tolerant control for microgrid energy management system based on set-membership estimation

“…This is because an MPC technique has the advantage of employing forecasts conveniently, which is significant in terms of addressing the intermittency of RES generation. By using the forecasts of RES generation and load demand, MPC predicts a sequence of control inputs that can optimally regulate energy management for microgrids (Brenna et al, 2018). In addition, the control sequence can be used as default set-point power values for RESs and batteries.…”