FPA Pareto optimality-based multiobjective approach for capacitor placement and reconductoring of urban distribution systems with solar DG units

Gampa, Srinivasa Rao; Makkena, Suresh; Goli, Preetham; Das, Debapriya

doi:10.1080/01430750.2020.1713887

Cited by 10 publications

(11 citation statements)

References 53 publications

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“…Keep the calculated nondominated solutions in the Pareto archive Choose sea and rivers according to the crowding-distance Assign number of streams for each river and sea using ( 23)- (25) Update positions of streams and rivers as clarified in ( 27)- (29) Is Evaporation condition reached (30)?…”

Section: Numerical Results and Discussionmentioning

confidence: 99%

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Capacitor Allocation Using Multiobjective Water Cycle Algorithm and Fuzzy Logic

El-Saeed

Abdel-Gwaad

Farahat

2022

ELEKTRON ELEKTROTECH

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Radial distribution systems are susceptible to a lack of voltage profile and increase system losses, particularly at the distant ends of the distribution feeder. This manuscript proposes an approach to solve the optimal capacitor placement problem in radial distribution networks to minimize system losses, improve the voltage profile of all buses, promote total voltage stability, and improve net savings. The optimal capacitor placement problem is solved in two stages. Firstly, normalized loss sensitivity factor and voltage magnitude are used as inputs to build fuzzy expert rules to arrange the most candidate buses for capacitor placement. Secondly, a multiobjective water cycle algorithm is applied to determine the optimal sizes and locations of capacitors within the predefined search space using fuzzy expert rules. The multiobjective function is formulated with operational constraints considering fixed and switched capacitors. To validate the effectiveness of this methodology, it is demonstrated on IEEE 33 and IEEE 94-bus radial distribution networks. Clearly, the findings show the improvement in the voltage profile and static voltage stability, the significant reduction in system losses, as well as the enhancement in overall savings. Furthermore, a comprehensive evaluation is also carried out by comparing the numerical results with other methods such as interior point algorithm, a combination fuzzy real coded genetic algorithm method, water cycle algorithm for IEEE 33-bus system and artificial bee colony algorithm for IEEE 94-bus system which prove the viability and effectiveness of the proposed methodology.

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Section: Numerical Results and Discussionmentioning

confidence: 99%

“…However, more parameters are used. In [30], a multiobjective flower pollination algorithm is applied for the optimal placement of shunt capacitors and solar distributed generations (DGs) along with the optimal network reconductoring. However, interest rates impact annual economic savings.…”

Section: Introductionmentioning

confidence: 99%

Capacitor Allocation Using Multiobjective Water Cycle Algorithm and Fuzzy Logic

El-Saeed

Abdel-Gwaad

Farahat

2022

ELEKTRON ELEKTROTECH

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“…The number of branches required for optimum reconductoring will increase as the size of the distribution system increases and needs to be analyzed with more conductor types. Moreover, several authors successfully applied FPA to solve power and energy problems [12,54]. Hence, in this work initially, a FPA-based methodology was developed for optimum network reconductoring of radial distribution systems.…”

Section: Problem Formulationmentioning

confidence: 99%

“…The conductor types and their data [55] are shown in Table 1. The proposed FPA-based algorithm was simulated on 11 kV, 123 bus [5] and 11 kV, 51 bus [12] test systems. The results were compared with the PSO algorithm.…”

Section: Optimal Network Reconductoring Using Flower Pollination Algo...mentioning

confidence: 99%

“…Abdelaziz et al [10] proposed a crow search algorithm, and Sherif et al [11] presented Salp Swarm Optimization (SSO) algorithm for optimal conductor selection. Gampa et al [12] proposed a FPA Pareto optimality-based approach for network reconductoring of distribution systems integrated with solar photovoltaic units. Burgio et al [13] proposed a heuristic approach for determining the capacity of residential photovoltaic battery systems in distribution networks to provide flexible services to the grid.…”

Section: Introductionmentioning

confidence: 99%

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Electric Vehicle Charging Load Allocation at Residential Locations Utilizing the Energy Savings Gained by Optimal Network Reconductoring

Goli

Jasthi²,

Gampa³

et al. 2022

Smart Cities

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In this study, a two-stage methodology based on the energy savings gained by optimal network reconductoring was developed for the sizing and allocation of electric vehicle (EV) charging load at the residential locations in urban distribution systems. During the first stage, the Flower Pollination Algorithm (FPA) was applied to minimize the annual energy losses of the radial distribution system through optimum network reconductoring. A multi-objective function was formulated to minimize investment, peak loss, and annual energy loss costs at different load factors. The results obtained with the flower pollination algorithm were compared with the particle swarm optimization algorithm. In the second stage, a simple heuristic procedure was developed for the sizing and allocation of EV charging load at every node of the distribution system utilizing part of the annual energy savings obtained by optimal network reconductoring. The number of electric cars, electric bikes, and electric scooters that can be charged at every node was computed while maintaining the voltage and branch current constraints. The simulation results were demonstrated on 123 bus and 51 bus radial distribution networks to validate the effectiveness of the proposed methodology.

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