A new intelligent method for optimal allocation of D-STATCOM with uncertainty

Abbasi, Alireza; Khoramini, Reza; Dehghan, Bahram; Abbasi, Mehdi; Karimi, Elham

doi:10.3233/ifs-151666

Cited by 29 publications

(4 citation statements)

References 28 publications

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“…The PSO algorithm was introduced in Pezeshki et al (2018) to maintain voltage magnitude and unbalancing within the probabilistic limit by considering cost of compensation in DS. Abbasi et al (2015) present D-STATCOM allocation considering active and reactive uncertainty loads. Scenario generation is used to model the effect of uncertainty; for optimization, a social spider optimization (SSO) algorithm is employed.…”

Section: Distribution Static Compensatormentioning

confidence: 99%

Analysis, monitoring, and mitigation of power quality disturbances in a distributed generation system

Ravi

Kumar

2022

Front. Energy Res.

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Despite the numerous benefits of distributed generation (DG), such as reliable energy supply and environmental friendliness, there are a number of challenges associated with integrating DG with the grid. In the field of DG, the complication of power quality (PQ) is a major technical challenge. Custom power devices (CPDs) are used in the distribution system to solve complications. This study presents different PQ disturbances (PQDs), monitoring techniques, and fundamental standards. Furthermore, with the widespread literature, the study critically reviews different PQ mitigation techniques such as distribution static compensator (DSTATCOM), dynamic voltage restorer (DVR), unified power quality conditioner (UPQC), and uninterruptable power supply (UPS). The present research work is not only limited to surveying the existing techniques but also analyzing the performance of UPQC using the ANFIS controller. Overall, this study is intended to provide researchers working on improving PQ in the distribution system with a valuable resource that will aid them in enriching their research.

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Section: Distribution Static Compensatormentioning

confidence: 99%

Analysis, monitoring, and mitigation of power quality disturbances in a distributed generation system

Ravi

Kumar

2022

Front. Energy Res.

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“…PLF has become increasingly important with the growth of renewable energy sources and the need to integrate stochastic generation into power systems. By the use of probability distributions, the probabilistic load flow quantifies the uncertainties [4]; MCS has been frequently used in probabilistic analyses to include a comprehensive model for uncertain outcomes [6]. Whilst, in distribution systems, the voltage magnitude at buses decreases when they get remote from the substation and the losses almost have huge amounts; According to mentioned literature almost 13% of the total power generated is consumed as 𝐼 2 𝑅 losses at the distribution network [12].…”

Section: Introductionmentioning

confidence: 99%

A probabilistic load flow comparison in distribution systems by performing optimal capacitors/DERs sizing and placement, simultaneously

Khanbabaee,

Abedi

2023

Preprint

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Due to penetration of distributed energy resources (DER)s in electrical distribution systems, uncertainty investigation of distributed resources performance is significant owing to the inherent nature of solar irradiation and wind blow, on the other hand the power demand and charging stations of electric vehicles. All in all, uncertainty modeling of distribution network elements is an essential tool for performing probabilistic load flow (PLF) analysis beside understanding the probabilistic behavior of a power distribution network. Furthermore, the installation of DER resources and capacitors can result improvements of power factor, voltage profile enhancement and line losses reduction in power distribution networks. The sizing and location of DER resource and capacitor unit should be optimal to maximize the benefits, hence optimal locating and allocating the capacity of DERs have a complete impact on the system losses in the distribution network. When DERs and capacitors are installed in a distribution system, it could impact three-phase short-circuit currents. Genetic Algorithm (GA) is applied to find the optimal place and size of DERs and capacitors considering the minimum three-phase short-circuit current changes. The probability density functions (PDF) of total system losses and voltage deviation of the investigated network obtained from solving PLF by two methods of Monte Carlo simulation (MCS) and Hong’s two-point estimation method have been compared before and after optimal placement and sizing of distributed energy resources and capacitors. PLF and GA has been applied on IEEE 33-bus radial distribution system. The results obtained illustrate that the voltage deviation and the total system losses have been reduced with very minor changes in three-phase short-circuit current, finally the two-point estimation (TPM) method offer faster method, having acceptable results.

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“…[14] proposed a power loss index (PLI) technique to solve the problem considering power loss and improvement of voltage profile as their objective function. A social spider optimization (SSO) algorithm has been proposed to tackle this problem, considering the uncertainty of the real and reactive loads [15]. Ref.…”

Section: Introductionmentioning

confidence: 99%

Optimal Allocation of Distribution Static Synchronous Compensators in Distribution Networks Considering Various Load Models Using the Black Widow Optimization Algorithm

Salimon,

Adebayo,

Adepoju

et al. 2023

Sustainability

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Incorporating Distribution Static Synchronous Compensator (DSTATCOM) units into the radial distribution network (RDN) represents a practical approach to providing reactive compensation, minimizing power loss, and enhancing voltage profile and stability. This research introduces a unique optimization technique called the Black Widow Optimization (BWO) algorithm for strategically placing DSTATCOM units within the RDN. The primary objective is to minimize power loss while simultaneously evaluating various techno-economic parameters such as the voltage profile index (VPI), voltage stability index (VSI), and annual cost savings. The analysis of optimal DSTATCOM allocation, employing the proposed BWO algorithm, encompasses different load models, including constant impedance (CZ), constant current (CI), constant power (CP), and composite (ZIP) models. These analyses consider three distinct scenarios: single and multiple DSTATCOM integration. To gauge the effectiveness of the proposed BWO technique, it is applied to the IEEE 33-bus and 69-bus RDNs as test cases. Simulation results confirm the efficiency of the proposed approach across all four load models. Notably, in the case of the constant power model, the percentage reduction in power loss is substantial, with a reduction of 34.79% for the IEEE 33-bus RDN and 36.09% for the IEEE 69-bus RDN compared to their respective base cases.

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A new intelligent method for optimal allocation of D-STATCOM with uncertainty

Cited by 29 publications

References 28 publications

Analysis, monitoring, and mitigation of power quality disturbances in a distributed generation system

Analysis, monitoring, and mitigation of power quality disturbances in a distributed generation system

A probabilistic load flow comparison in distribution systems by performing optimal capacitors/DERs sizing and placement, simultaneously

Optimal Allocation of Distribution Static Synchronous Compensators in Distribution Networks Considering Various Load Models Using the Black Widow Optimization Algorithm

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