Dynamic Control of Integrated Wind Farm Battery Energy Storage Systems for Grid Connection

Abstract

The intermittent nature of wind power is a major challenge for wind as an energy source. Wind power generation is therefore difficult to plan, manage, sustain, and track during the year due to different weather conditions. The uncertainty of energy loads and power generation from wind energy sources heavily affects the system stability. The battery energy storage system (BESS) plays a fundamental role in controlling and improving the efficiency of renewable energy sources. Stochasticity of wind speed and reliability of the main system components are considered. This paper presents a dynamical control system based on model predictive control (MPC) in real time, to make full use of the flexibility and controllability of energy storage to mitigate problems of wind farm variability and intermittency. The control scheme first plans the expected output, then stochastic optimization is used to optimize grid integrated wind farm BESS output power, develop an optimal operation strategy for BESS, and prevent some unpredictable conditions that may have impacts on the stability of the system. The results show that the proposed method can reduce grid-connected wind power fluctuations, limit system faults, control command for the BESS in the dispatching period, and ensure system stability for grid connection.

Research on the optimal allocation method of PV micro-grid energy storage capacity based on empirical modal decomposition

“…Some of the power generation units that can be added to the microgrid are photovoltaic solar panels, fans, generators, ground source heat pumps, gas turbines, and other heat-generating devices. Some microgrids have energy storage systems, and there are various types of energy storage systems, including battery and supercapacitor storage systems, AC busbars, grid-connected inverters, and photovoltaic modules [1][2]. So that the power generated by the new energy can be used to the maximum extent.…”

On minimization of the group variability of intermittent renewable generators

“…Developing models that would enable better predictions would significantly reduce operational risks associated with intermittency, hence the economic costs. Further, [19] and [20] discuss various aspects of storage solutions related to the grid operation and enhancing flexibility in the conditions with an increased share of variable RES. For example, we optimized a probability for a temporal change of total production to exceed a certain pre-defined threshold within one unit of time.…”

Smoothing Intermittent Output Power in Grid-Connected Doubly Fed Induction Generator Wind Turbines with Li-Ion Batteries

“…Additionally, it introduces complexities like deviations in system frequency and voltage, impacting grid stability and power quality. This makes matching supply and demand challenging, and planning power production is also complicated because of DFIG's variable output power [9][10][11].…”

“…To address these challenges, energy storage technologies (ESTs) have emerged as a promising solution for mitigating the output power fluctuations of DFIGs [12][13][14]. Energy storage systems (ESSs) store excess energy during periods of high wind speed and release it to the power grid when the wind speed decreases [11,13,15]. Thus, the integration of ESSs with DFIGs makes it possible to smooth the generated power as wind speeds vary [16].…”