Dstatcom allocation in the distribution system considering load uncertainty

Akbari-Zadeh, Mohammad-Reza; Kokabi, Reza; Gerami, Shahin

doi:10.3233/ifs-131027

Cited by 14 publications

(4 citation statements)

References 30 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Two D‐STATCOMs with settings

V_{normalD - STATCOM}^{set}

equal to 0.9851 and 0.9510 are considered in nodes 54 and 64, respectively. It is noticeable that the selected location for D‐STATCOMs is given in Reference 18, and optimal determining of them is not considered.…”

Section: Simulation Resultsmentioning

confidence: 99%

See 1 more Smart Citation

Probabilistic assessment of D‐STATCOM operation considering correlated uncertain variables

Rezaeian‐Marjani

Masoumzadehasl

Galvani

et al. 2020

Int Trans Electr Energ Syst

View full text Add to dashboard Cite

Renewable energy sources (RESs) such as wind turbines (WTs) and photovoltaic (PV) cells have become more widespread in recent years due to their superior technical, economical, and environmental benefits. These types of energy sources are innately unpredictable, owing to the uncertain nature of their primary resources and bring about more challenges in the distribution networks. Moreover, there may be a high correlations between uncertain input variables which intensify the mentioned challenges. On the other hand, power electronic-based devices have had an effective role in improving the performance of distribution networks. Distribution network flexible AC transmission system (D-FACTS) devices such as distribution static compensator (D-STATCOM) can be efficiently used for making the modern distribution networks with high penetration of RESs more flexible. In this article, probabilistic assessment of the D-STATCOM operation is considered in the distribution networks, including RESs such as WTs and PV cells. For this purpose, the probabilistic extended forward-backward load flow with D-STATCOM modeling has been introduced. The uncertainties are considered in power demands, wind speed, and solar radiation. Also, the correlations between uncertain variables are

show abstract

“…Two D‐STATCOMs with settings

V_{normalD - STATCOM}^{set}

Section: Simulation Resultsmentioning

confidence: 99%

“…Also, there were no comparisons between the performance of the used probabilistic assessment method with the other methods. Further, the allocation of a D‐STATCOM was carried out based on a PEM for uncertainty modeling of demands in Reference 18. The mentioned shortages for the previous reference are existed in this reference, too.…”

Section: Introductionmentioning

confidence: 99%

Probabilistic assessment of D‐STATCOM operation considering correlated uncertain variables

Rezaeian‐Marjani

Masoumzadehasl

Galvani

et al. 2020

Int Trans Electr Energ Syst

View full text Add to dashboard Cite

show abstract

“…In Bagheri Tolabi et al (2015), ant colony optimization (ACO) has been utilized for appropriate placement of DSTATCOM in the combination of PV array in an attempt to minimize true power losses, optimize voltage profile, and establish load balancing on feeders. In 2014, Akbari-Zadeh et al (2014) employed bat swarm optimization algorithm to find location of D-STATCOM for load uncertainty. The effect of uncertainty loads can be modeled using a new stochastic structure for D-STATCOM allocation and sizing difficulties.…”

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.

View full text Add to dashboard Cite

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.

show abstract

“…The 2 m + 1 point estimate method was used to simulate the uncertainty of loads in the optimization of DSTATCOM allocation and sizing problem in Ref. . A fuzzy‐based framework was used to transform objective functions (OFs) into fuzzy memberships.…”

Section: Introductionmentioning

confidence: 99%

Optimal allocation of DSTATCOM considering the uncertainty of photovoltaic systems

Zhang

2019

IEEJ Transactions Elec Engng

View full text Add to dashboard Cite

Rational allocation of the distribution static compensator (DSTATCOM) can effectively solve the impact of high penetration of photovoltaic (PV) systems on an active distribution network. Taking the intermittent output of a PV system into consideration, this paper establishes an optimal allocation model of DSTATCOM, in which active power loss, voltage deviation, and total allocation cost are considered as the objective functions. Monte Carlo simulation (MCS) is employed to simulate the random output of PV. Moreover, an opportunity constraint is introduced into the optimal model to evaluate the reliability of the allocation scheme. Multiobjective differential evolution gray wolf optimization (MODEGWO) is proposed to determine the optimal location and capacity of the DSTATCOM. A new optimization method integrating MCS, opportunity constraint, and MODEGWO is proposed to deal with the optimal allocation model of DSTATCOM. The proposed method is validated on an IEEE 33-bus system. Simulation results confirm the rationality and validity of the proposed model.

show abstract

Dstatcom allocation in the distribution system considering load uncertainty

Cited by 14 publications

References 30 publications

Probabilistic assessment of D‐STATCOM operation considering correlated uncertain variables

Probabilistic assessment of D‐STATCOM operation considering correlated uncertain variables

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

Optimal allocation of DSTATCOM considering the uncertainty of photovoltaic systems

Contact Info

Product

Resources

About