Analysis of Distribution System with D-STATCOM by Gravitational Search Algorithm (GSA)

Arya, Ashwani; Kumar, Ashwani; Chanana, Saurabh

doi:10.1007/s40031-019-00383-2

Cited by 27 publications

(10 citation statements)

References 22 publications

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“…To compare network performance in all its aspects, the load flow is performed for the solution provided by each algorithm in a brute-force technique. The comparison is given in Composite NVSI [11], GSA [14], PLI [17], BAT [25] and basic BES by its global solution.…”

Section: Resultsmentioning

confidence: 99%

“…In [13], loss sensitivity factor based reduced search space for locations and then flower pollination algorithm (FPA) is used to deduce optimal location form it while simultaneously determining the sizes of real power type DG and D-STATCOM towards optimization of total cost. In [14], gravitational search algorithm (GSA) based multi-objective function using real power loss, voltage deviation and annual energy saving cost is formulated and the D-STATCOM optimal location and sizes are determined in radial distribution networks. In [15], a hybrid whale with grey wolf optimization (WG) is developed for solving the optimal location and sizes of D-STATCOM.…”

Section: Introductionmentioning

confidence: 99%

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Improved Bald Eagle Search for Optimal Allocation of D-STATCOM in Modern Electrical Distribution Networks with Emerging Loads

2022

IJIES

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Currently, modern electrical distribution networks (EDNs) are experiencing high demand with emerging electric vehicle loads and are being planned for specific load requirements such as agricultural loads. In this connection, characterization and optimization of their performance become essential in planning studies. In this paper, optimal reactive power compensation using a distribution-static synchronous compensator (D-STATCOM) is proposed with the aim of loss reduction, voltage profile improvement and voltage stability enhancement different types of loads including agricultural and electric vehicle loads. A recent efficient meta-heuristic approach, improved bald eagle search (IBES), is implemented for solving the proposed optimization problem considering different operational and planning constraints. The simulation results are performed on IEEE 33-bus for different types of load modelling. The computational efficiency of IBES is compared with basic BES and other literature works. From the results, IBES has shown superior computational characteristics than all compared works. On the other hand, the optimal location and size of D-STATCOM caused significant loss reduction, voltage profile improvement and voltage stability enhancement for kinds of loads as experiencing in the modern EDNs.

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Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Improved Bald Eagle Search for Optimal Allocation of D-STATCOM in Modern Electrical Distribution Networks with Emerging Loads

2022

IJIES

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“…The results obtained from proposed algorithm were compared to other optimization techniques, GWO and NGSA-II and tested on IEEE 33 bus RDS. Arya et al in [177] proposes GSA for solving optimal location and sizing of DSTATCOM in two IEEE RDS, IEEE 33 and IEEE 69 bus. The multi-objective function was formulated to find the accurate placing and capacity for reducing power losses, minimizing the voltage deviation and maximizing the annual energy saving.…”

Section: Voltage Profilementioning

confidence: 99%

A Comprehensive Review on Optimal Location and Sizing of Reactive Power Compensation Using Hybrid-Based Approaches for Power Loss Reduction, Voltage Stability Improvement, Voltage Profile Enhancement and Loadability Enhancement

et al. 2020

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“…In [9], new voltage stability index (NVSI) is proposed for identifying DSTATCOM location and then the optimal sizes are determined for loss reduction considering different load models. In [10], loss reduction, voltage profile improvement, and maximizing net savings are aimed via optimally integration DSTATCOM using gravitational search algorithm (GSA). In [11], DSTATCOM and unified power quality conditioner (UPQC) are used for reactive power cost savings considering different load growth scenarios.…”

Section: Introductionmentioning

confidence: 99%

Optimal Allocation of Capacitor Banks and DSTATCOMs in Radial Distribution System Considering Electric Vehicle Load Growth

2022

IJIES

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In this paper, an improved variant of nature-inspired meta-heuristic algorithm inspired by the pollination process of flowering plants called improved flower pollination algorithm (IFPA) is utilized for solving the optimal allocation of capacitor banks (CBs) and distribution-static synchronous compensator (DSTATCOM) problem considering electric vehicle (EV) load growth. In IFPA, a new double-direction learning strategy to advance local searching capacity, a novel dynamic switching probability method to balance global and local searching, and a new greedy technique to increase population diversity. A multi-objective function is formulated for minimizing the real power loss and installation cost of CBs/DSTATCOM. The search space of the multiple CBs/DSTATCOMs is primarily reduced using voltage stability index (VSI) and later the best locations and sizes of CBs/DSTATCOMs are determined by implementing IFPA. The proposed hybrid VSI-FPA approach is applied to solve the DSTATCOM allocation problem in standard IEEE 33-bus radial distribution systems (RDS). The effectiveness of the proposed approach is compared with the similar types of heuristic approaches in the literature. The comparative results shown that the IFPA is outperformed than other algorithms by providing minimum losses, reduced installation cost, and consequently improved voltage profile as well as voltage stability irrespective of EV load growth via allocating the CBs/DSTATCOM optimally in the RDS. The basic network profited from CBs and DSTATCOMs by a loss reduction of 34.71% and 29.50%, respectively, according to the results. The loss, on the other hand, increases to 88.69 percent when the network is filled with 50% EV load. With CBs and DSTATCOMs, however, the higher losses are just 37.07% and 37.26%, respectively.

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Analysis of Distribution System with D-STATCOM by Gravitational Search Algorithm (GSA)

Cited by 27 publications

References 22 publications

Improved Bald Eagle Search for Optimal Allocation of D-STATCOM in Modern Electrical Distribution Networks with Emerging Loads

Improved Bald Eagle Search for Optimal Allocation of D-STATCOM in Modern Electrical Distribution Networks with Emerging Loads

A Comprehensive Review on Optimal Location and Sizing of Reactive Power Compensation Using Hybrid-Based Approaches for Power Loss Reduction, Voltage Stability Improvement, Voltage Profile Enhancement and Loadability Enhancement

Optimal Allocation of Capacitor Banks and DSTATCOMs in Radial Distribution System Considering Electric Vehicle Load Growth

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