Multi‐objective robust tuning of STATCOM controller parameters for stability enhancement of stochastic wind‐penetrated power systems

Chi, Yuan; Xu, Yan

doi:10.1049/iet-gtd.2019.1209

Cited by 6 publications

(5 citation statements)

References 34 publications

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“…To compensate for the reactive power in the power system or control voltage levels, the STATCOM swiftly modifies the pulse signal output by the PWM inverter in response to the feedback signal of the control system when voltage or power irregularities occur. In addition, it is used for starting load equipment such as generators and transformers, grid stability and dynamic response control, and power quality regulation in wind and solar power systems [21][22][23].…”

Section: Statcom Principles and Control Modelmentioning

confidence: 99%

“…In this study, MOCS establishes an archive to store the global optimum and uses a disturbance mechanism to increase the algorithm diversity, thereby simultaneously optimizing multiple optimization objectives. The update equations of the MOCS can be divided into local and global searches, as expressed in (20) and (21), respectively. represents the position of the ith cuckoo bird in the (Iter + 1)th iteration.…”

Section: Multi-objective Cuckoo Search Algorithmmentioning

confidence: 99%

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Optimal Capacity and Location for STATCOM with Seasonal Wind Power Prediction Using C-Vine Copula

Yang

Chang

2023

Mathematics

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This paper proposes a selection strategy for determining the optimal capacity and location of a static synchronous compensator (STATCOM) device under intermittent output variations of renewable energy sources using a multi-objective cuckoo search (MOCS) algorithm. The impact of seasonal output variations on the location and capacity of the STATCOM devices was analyzed based on the daily output variations of the wind turbines. Three objective functions were considered to determine the optimal location and capacity of the STATCOM devices: (1) minimizing the system line losses, (2) minimizing the transient voltage indicators, and (3) minimizing the total cost of the STATCOM capacity. MOCS was combined with the Pareto front to determine the non-dominated solution sets for the four seasons. The Manhattan distance method was used to select the most suitable installation locations and capacities within a specified time interval. Power flow calculations were performed using DIgSILENT Power Factory 2021 and MATLAB R2021b. To validate the proposed method, a test experiment was conducted using an IEEE 39 bus system.

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Section: Statcom Principles and Control Modelmentioning

confidence: 99%

Section: Multi-objective Cuckoo Search Algorithmmentioning

confidence: 99%

Optimal Capacity and Location for STATCOM with Seasonal Wind Power Prediction Using C-Vine Copula

Yang

Chang

2023

Mathematics

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“…The root-mean-square voltage-dip severity index (RVSI), implemented from [29], was used to evaluate the transient voltage performance for a detailed evaluation of the voltage characteristics after an accidental event. This study introduces an accidental event as a three-phase short-circuit fault in a power system because this event is the most severe case of a short-circuit fault.…”

Section: Short-term Voltage Stability Indexmentioning

confidence: 99%

Sizing and Sitting of Battery Energy Storage Systems in Distribution Networks with Transient Stability Consideration

2022

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In this study, the capacity and location of battery energy storage systems (BESSs) in a distribution network were evaluated to increase the stability and reliability of power systems by applying the proposed transient stability indicators. The search capability of particle swarm optimization (PSO) combined with Pareto optimality in MATLAB R2019b was used to solve multi-objective problems in steady-state conditions, including active power loss, voltage deviation, and total operating cost. The BESS capacity and location were then derived using the Manhattan distance method. Subsequently, the BESS control model was constructed using the commercial software DIgSILENT PowerFactory 2021 to evaluate generator power smoothing and short-term voltage stability index during the transient response and determine the final capacity and location of BESS in distribution networks. Finally, the accuracy of the proposed method was verified by considering the daily load and solar power generation curves using the IEEE 33-bus radial power distribution network.

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“…A robust optimization approach for controller parameter tuning of STATCOM to enhance the system's resilience to disturbances and voltage fluctuations, ensuring stable operation and effective LVRT performance of a wind-penetrated power system, is proposed, and an improved nondominated sorting GA-II is established. 21 A novel approach was proposed to optimize the tuning of STATCOM using a hybrid ACO-PSO T A B L E 1 LVRT requirements: International grid codes. 35 optimization strategy, with the goal of ensuring compliance with GCR.…”

Section: Introductionmentioning

confidence: 99%

Wind‐assisted microgrid grid code compliance employing a hybrid Particle swarm optimization‐Artificial hummingbird algorithm optimizer‐tuned STATCOM

Imtiaz,

Yang,

Azib Khan

et al. 2024

Wind Energy

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The importance of resolving stability concerns in weak AC grid‐connected doubly fed induction generator (DFIG) wind energy systems during low‐voltage ride‐through (LVRT) events cannot be ignored, given the increasing popularity of wind power‐based microgrids. Furthermore, the emergence of generation loss and postfault oscillation within a microgrid (MG) due to grid faults has also become a significant concern. The static synchronous compensator (STATCOM) under consideration in this study is tuned using particle swarm optimization (PSO), the artificial hummingbird algorithm (AHA), and a hybrid approach incorporating both PSO and AHA. Faults of both a symmetrical and an asymmetrical nature have occurred on the power grid side. The proposed hybrid PSO‐AHA‐tuned STATCOM strategy aims to improve LVRT, minimize power generation loss during faults, and reduce oscillations after a fault by controlling the flow of reactive power between point of common coupling (PCC) and MG. The MATLAB simulation environment was used to simulate the 16 MW MG test system. The performance of the PSO‐AHA‐tuned STATCOM was assessed by comparing results with those from conventional STATCOM, PSO, and AHA optimizer‐tuned STATCOM in four fault situations. A comparison of the results shows that the proposed strategy performed better than other approaches mentioned in this paper and achieved the desired objectives.

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Multi‐objective robust tuning of STATCOM controller parameters for stability enhancement of stochastic wind‐penetrated power systems

Cited by 6 publications

References 34 publications

Optimal Capacity and Location for STATCOM with Seasonal Wind Power Prediction Using C-Vine Copula

Optimal Capacity and Location for STATCOM with Seasonal Wind Power Prediction Using C-Vine Copula

Sizing and Sitting of Battery Energy Storage Systems in Distribution Networks with Transient Stability Consideration

Wind‐assisted microgrid grid code compliance employing a hybrid Particle swarm optimization‐Artificial hummingbird algorithm optimizer‐tuned STATCOM

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