Dispatching of a Wind Farm Incorporated With Dual-Battery Energy Storage System Using Model Predictive Control

Bo Wang,Guowei Cai,Deyou Yang

doi:10.1109/access.2020.3014214

Bo Wang, Guowei Cai + Show 1 more

Open Access

https://doi.org/10.1109/access.2020.3014214

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Abstract

The battery energy storage system (BESS) integrated with a wind farm is an efficient way to smooth wind power fluctuations and improve wind farm dispatchability. The presented study proposed a model predictive control (MPC)-based power dispatch strategy for a wind farm incorporated with dual-battery energy storage system (DBESS). The state space model of the active power balance of the wind farm incorporated with DBESS was established to analyze the operation mode of the DBESS. The MPC was then applied to acquire the control inputs of the two batteries, thereby enabling both batteries to respectively be in a state of charging and discharging to track the alternating dispatch order. Actual wind power data was applied in the simulation, wherein the results indicate that the proposed MPC-based dispatching strategy of the DBESS-incorporated wind farm effectively tracks the dispatching order using the output of the wind/battery storage hybrid system, thereby improve the dispatchability of the wind farm while simultaneously reducing battery switching times and extending the lifetime of battery.

Highlights

In renewable energy power generation, wind power is widely developed and utilized due to the characteristics of flexible installation [1], [2]
The development of energy storage and power electronic technologies has resulted in the construction of a battery energy storage system (BESS) with a certain capacity integrated into the wind farm as well as a related control strategy to compensate the deviation between dispatch order and the actual active power of a wind farm, thereby improving
The present study developed an model predictive control (MPC) controller-based dual-battery energy storage system (DBESS) that was integrated with a wind farm to improve wind farm dispatchability and simultaneously extend battery life

Summary

Introduction

In renewable energy power generation, wind power is widely developed and utilized due to the characteristics of flexible installation [1], [2]. The development of energy storage and power electronic technologies has resulted in the construction of a battery energy storage system (BESS) with a certain capacity integrated into the wind farm as well as a related control strategy to compensate the deviation between dispatch order and the actual active power of a wind farm, thereby improving. The model predictive controller (MPC) was early employed for BESS to smooth the active wind power from a wind farm located an hour ahead of wind power forecasting results [12], maintain the output of the hybrid system consisting of wind and battery storage to track extreme predicted

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Results

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