Optimal capacitor placement in radial distribution systems using a fuzzy-dragonfly method

Al‐Ammar, Essam A.; Ghazi, Ghazi A.; Ko, Wonsuk

doi:10.12720/sgce.8.2.116-124

Cited by 15 publications

(8 citation statements)

References 14 publications

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“…The most famous one of these strategies is allocating capacitors bank in parallel at the buses most responsive to change. [8][9][10][11][12][13][14][15][16][17][18][19][20][21][22][23][24][25][26] Among the recent studies that dealt with the best ways to implement this strategy. There are other strategies, such as system reconfiguration [27][28][29][30][31][32] as well as distributed generation, [33][34][35][36][37][38][39][40][41] that need high capital to proceed with their implementation, which may not be available.…”

Section: Enhancing Distribution System Performance Strategiesmentioning

confidence: 99%

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Optimum estimation of series capacitors for enhancing distribution system performance via an improved hybrid optimization algorithm

Mohamed

Abdelaziz

Darwish

et al. 2023

Energy Science & Engineering

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As the load on distribution networks grows, system operators and planners are constantly challenged with the issue of voltage regulation or enhancing the quality of supply to customers at the load end of lengthy distribution lines. This paper presents the optimum determination of series capacitor units in a distribution system to maximize energy-saving and enhance voltage levels. Interestingly, series capacitors can enhance the capability of transmission lines, reduce line losses, enhance the performance of buses with large induction motor loads and reduce voltage flicker. At the same time, the limitations of series compensation are taken into consideration while calculating its optimum values. To achieve the planning objective and optimal load flow objective, two strategies: The Improved Grey Wolf Optimization method (I-GWO) and Tabu Search (TS), are hybridized to get the benefit of their advantages. The I-GWO has a movement strategy called dimension learning-based hunting for enhancing the balance between global and local search and maintaining diversity. The proposed (I-GWO-TS) algorithm can solve mixed-integer programming to achieve the planning and the optimal load flow objectives. The proposed method can be applied to a real Egyptian distribution system that is heavily loaded, with poor voltage regulation, and also has high-power losses. The obtained results demonstrate the capability of the proposed approach to determine optimal series capacitors' location and sizing for maximization of energy saving. Further, the proposed method improves the network performance regarding the voltage profile and power losses, although the limitations of including series compensation were considered in the distribution system.

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Section: Enhancing Distribution System Performance Strategiesmentioning

confidence: 99%

“…The most famous one of these strategies is allocating capacitors bank in parallel at the buses most responsive to change 8–26 . Among the recent studies that dealt with the best ways to implement this strategy.…”

Section: Introductionmentioning

confidence: 99%

Optimum estimation of series capacitors for enhancing distribution system performance via an improved hybrid optimization algorithm

Mohamed

Abdelaziz

Darwish

et al. 2023

Energy Science & Engineering

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“…The comparison is given in Table 4 In this case study, VAr compensation by means of CBs and D-SVCs is compared. In [5,6], the impact of CBs on the performance of EDNs is analyzed. Thus, the effectiveness of AFA in solving the CBs allocation problem is first analyzed, and then the performance of EDN with CBs and D-SVCs is compared.…”

Section: Over Compensation (75%)mentioning

confidence: 99%

“…The multi-objective function is formulated for real power loss and annual loss reduction. In [6], the dragonfly algorithm (DFA) and fuzzy expert system are employed for identifying the optimal sites and ratings of CBs in RDNs for real power loss reduction. In [7], minimization of active energy loss and voltage deviation is aimed by optimally controlling the OLTCs along with distribution generation (DGs) using moth search optimization (MSO).…”

Section: Introductionmentioning

confidence: 99%

Optimal Integration of Multiple D-SVCs for Voltage Stability Enhancement in Radial Electrical Distribution System Using Adaptive Firefly Algorithm

2023

IJIES

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Most electrical distribution systems (EDS) are radially structured so that primary and secondary protection control devices can work together well. Because they have a high R/X ratio in their design, they also have a bad voltage profile, high distribution losses, and less stability margins. As a result, integrating reactive power compensation devices like the distribution-static VAr compensator (D-SVC) can solve these issues. Yet, the situation can get worse if D-SVCs are placed and rated incorrectly in radial distribution networks (RDNs). Determining the optimum locations and their ratings simultaneously requires an updated version of the Firefly algorithm (FA) with adaptive parameters, which is introduced in this paper as the adaptive firefly algorithm (AFA). The multi-objective function that has been presented relates to improving loadability, voltage stability, and reducing active power loss. On the IEEE 69-bus, simulations are run for three different VAr compensation levels. In comparison to the base case, the losses are reduced by 34.04% and 33.14% with 50% and 75% VAr compensation, respectively. But for the optimal VAr compensation of 73.14 percent by AFA, the losses are reduced by 35.29 percent, which is higher than both under and over compensation cases. Similarly, the loadability margin is increased to 3.099 p.u. with optimal VAr compensation, but it is observed as only 2.833 p.u. and 2.939 p.u. with 50% and 75% VAr compensation, respectively. On the other hand, the findings produced with APF demonstrate its efficiency for resolving complex optimization issues and outperform those obtained with previous research. Also, the proposed D-SVCs allocation has improved RDN's overall performance, demonstrating how well it adapts to real-time applications.

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“…The emphasis was to shrink real power loss and enhance system voltage profile and so VSI was employed to predetermine suitable sites where capacitors are to be installed. In similar vein, power loss index (PLI) and hybrid of Fuzzy Expert System (FES) and Dragonfly Algorithm (DA) was implemented for shunt capacitor placement using IEEE 34‐bus systems as test case system by another author from Saudi Arabia . PLI was used to predetermine the potential sites that need installation of shunt capacitors while the hybrid algorithm FES‐DA decides the exact sizes and locations.…”

Section: Introductionmentioning

confidence: 99%

A two‐stage approach to shunt capacitor‐based optimal reactive power compensation using loss sensitivity factor and cuckoo search algorithm

et al. 2020

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Reactive power compensation on radial distribution systems is a challenging issue. Electric power distribution systems are being bedeviled by high active power loss and severe voltage violation especially on the buses that are far from distribution substations. This article presents a two-stage approach for sizing shunt capacitors and identifying the locations where their placement would be most beneficial within radial distribution systems. A multiobjective function capturing real power loss minimization and bus voltage profile enhancement was formulated and weighted approach was engaged to transform the function into single objective one. While backward forward sweep approach was used for the load flow analysis, loss sensitivity factor was employed to predetermine suitable sites for capacitor installation, with the optimal sites and sizes determined using cuckoo search algorithm. This approach was implemented on IEEE 15-bus and Yale 17-bus/11 kV feeder.Results obtained using the method was thereafter compared with those obtained through other methods as obtained from literature and the comparison shows that cuckoo search algorithm outsmarts others. Significant reduction in real power loss, coupled with appreciable enhancement in voltage profile, is achieved on the Yale 17-bus/11 kV feeder. The approach is therefore viable for addressing reactive power compensation problems confronting practical radial distribution systems. K E Y W O R D Sbackward forward sweep, cuckoo search algorithm, loss sensitivity factor, radial distribution system, shunt capacitor

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Optimal capacitor placement in radial distribution systems using a fuzzy-dragonfly method

Cited by 15 publications

References 14 publications

Optimum estimation of series capacitors for enhancing distribution system performance via an improved hybrid optimization algorithm

Optimum estimation of series capacitors for enhancing distribution system performance via an improved hybrid optimization algorithm

Optimal Integration of Multiple D-SVCs for Voltage Stability Enhancement in Radial Electrical Distribution System Using Adaptive Firefly Algorithm

A two‐stage approach to shunt capacitor‐based optimal reactive power compensation using loss sensitivity factor and cuckoo search algorithm

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