Coordinated predictive control for wind farm with BESS considering power dispatching and equipment ageing

Wang, Cong; Zhang, Du; Ni, Yu; Li, Chongtao; Zhang, Gang

doi:10.1049/iet-gtd.2017.1497

Cited by 27 publications

(18 citation statements)

References 27 publications

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“…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 dispatchability of wind farm active power [6][7][8]. The majority of research regarding the usage of BESS to smooth active wind power focuses on the elimination of random components through the use of high-frequency wind turbines and wind farms [9][10][11][12][13][14][15][16][17][18]. The widely applied methods were the filter algorithm, such as low pass filter [9] and twostage filter [10].…”

Section: Introductionmentioning

confidence: 99%

“…In [16], a battery system model which was non-convex is proposed and MPC is employed to improve the control performance of the BESS. In [17], a supervisory MPC was proposed to coordinate the wind power and output of BESS so that the operator power dispatching can be met. In addition to the conventional MPC, an active power adjustment tactic based on the stochastic MPC considering the probability distribution feature of the forecast error for wind power improved the dispatchability of a wind farm effectively [18].…”

Section: Introductionmentioning

confidence: 99%

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

2020

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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 dualbattery 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. INDEX TERMS Battery energy storage system (BESS); wind power; power dispatch; model predictive control (MPC); battery lifetime.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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

2020

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“…The variability of wind power generation has created great challenge to power industry, thus restricting its wider applications [2]. Hence, there is growing requirements in reducing the variability in wind power output to mitigate its negative impacts [3]. With the fast cost reduction in recent years, energy storage systems (ESS) can be a competitive option for wind farms to mitigate wind power fluctuation and increase its power controllability [4].…”

Section: Introductionmentioning

confidence: 99%

Sequence control strategy for hybrid energy storage system for wind smoothing

Zhang¹,

Meng³

et al. 2019

IET Generation, Transmission & Distribution

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“…Thirdly, voltage problems are addressed with BESS in [81]- [86] but primarily with use of rule-based algorithms or simplified optimisation without control coordination or for steady states only. Finally, it has been proposed to control BESS with MPC methods as per studies [87]- [91]. Nonetheless, those solutions offer limited optimisation capabilities and do not consider battery Soc or they omit upstream voltage regulation.…”

Section: Discussionmentioning

confidence: 99%

“…Figure 2.14 Voltage deviation mitigation algorithm with BESS unit [83] Next, although not extensively, MPC methods also have been used in a context of BESS control with renewable generation. For example, [87] presents a predictive algorithm for a combined wind farm generation with a BESS unit. The controller aims to follow an externally requested reference power and new set-point for BESS is calculated by solving a multivariable quadratic optimisation problem.…”

Section: Battery Energy Storage System For Grid Voltage Controlmentioning

confidence: 99%

Voltage control in power distribution grids equipped with large-scale renewable energy sources

Krata¹

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High integration of renewable energy sources (RESs) and battery energy storage systems (BESS) into power distribution networks brings new challenges to grid control schemes. The old assumption of unidirectional power flow (from transmission system to loads) is no longer valid when almost every load bus can become temporarily or permanently a generation bus due to increasing power from renewable sources such as photovoltaic (PV) generation. In fact, a power flow direction can alter at any grid location many times a day, impacting existing voltage regulation schemes. In particular, due to the lack of coordination between different voltage control apparatus, a dynamic change in PV generation can cause the grid voltage magnitude to go beyond acceptable limits. Hence, daily power fluctuations, e.g. caused by moving clouds, can lead to over-or under-voltage situations with a regulation time that takes minutes before the voltage is recovered and the grid is ready for a next, unexpected disturbance. This prolonged and inaccurate traditional regulation process affects electrical devices connected to grids with medium-and large-PV generation. Even more importantly, insufficient voltage regulation can prevent new developments of RESs plants because power utility companies might not allow for more RESs generation if a grid voltage is prone to fluctuate.This research is focused on the behaviour of power distribution systems exposed to large-scale PV generation and BESS facilities. Specifically, the study aims to address questions of how those modern power technologies influence voltages and their control in a distribution network as well as how to improve cooperation between traditional and modern grid regulation devices by means of advanced control strategies. To answer the research questions, the study investigates the real-time performance of a distribution grid voltage control in the presence of dynamically changing large-scale RESs and BESS generation and provides a novel real-time coordinated control to address voltage fluctuations caused by uncertain PV generation. Furthermore, the developed voltage control method is based on a model-driven approach with the real-time controller predicting hundreds of possible regulation trajectories and choosing the one that fulfils optimisation criteria the most. In addition, the multidimensional, nonlinear, mixed-integer optimisation is executed based on parallel-computed time-series grid simulations, which reproduce grid behaviour, incorporate mutual interactions of voltage controllers and ii account for PV variability. Uniquely, the algorithm also considers autonomous responses from upstream voltage regulation devices and includes them into the solution.Next, the investigation was conducted on real-time models of a semi-rural grid located in South-East Queensland, Australia, with a large-scale PV plant (3.15MWp of power) and BESS facility as large as 0.6MW/0.76MWh. As a result of implementing the proposed control coordination to the studied grid, voltage fluctuations caused by dyn...

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Coordinated predictive control for wind farm with BESS considering power dispatching and equipment ageing

Cited by 27 publications

References 27 publications

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

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

Sequence control strategy for hybrid energy storage system for wind smoothing

Voltage control in power distribution grids equipped with large-scale renewable energy sources

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