Optimization of Radial Distribution Networks Using Path Search Algorithm

Kumar, V.R. Sathish; Krishan, Ram; Sood, Yog Raj

doi:10.12720/ijeee.1.3.182-187

Cited by 19 publications

(6 citation statements)

References 16 publications

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“…Let us consider an 'n'-node distribution network. The path selection algorithm has following steps [13] Row of matrices represents the path for energizing node.…”

Section: Identification Of All Possible Pathsmentioning

confidence: 99%

Optimal Power Distribution Planning Using Improved Particle Swarm Optimization

Kumari¹,

Ranjan²

2018

ijisae

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In planning of radial power distribution system, optimal feeder routing and optimal branch conductor selection plays an important role. Economical distribution system requires effective planning method, which involves optimization procedure to connect the given load to the substations. In the paper, a generalized algorithm is developed for obtaining the optimal feeder path and the optimal location of substation on minimum loss criterion. Forward/Backward sweep load flow technique is applied to calculate the energy loss costs and select the minimum energy loss cost path for the power distribution. Finally, the optimal branch conductor selection of radial distribution system is performed by using particle swarm optimization (PSO). The proposed method has been tested on several radial distribution systems and results were found encouraging.

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“…Let us consider an 'n'-node distribution network. The path selection algorithm has following steps [13] Row of matrices represents the path for energizing node.…”

Section: Identification Of All Possible Pathsmentioning

confidence: 99%

Optimal Power Distribution Planning Using Improved Particle Swarm Optimization

Kumari¹,

Ranjan²

2018

ijisae

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“…Many grid developments for rural electrification were addressed in the literature. To cope with the problem of topology, the authors in [12] developed a radial distribution system to find the lowest investment cost with the path search algorithm. Authors in [13] obtained the optimal radial topology by using a dynamic programming method.…”

Section: Introductionmentioning

confidence: 99%

Study on the Impact of Integrated Pv Uncertainties Into an Optimal Lvac Topology in a Rural Village

Vai¹,

Bun

2021

AEJ

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This paper addresses a comparative study of radial topologies and the impact of the topology with the integration of PV for a rural village considering the shortest line and load balancing improvement. This research paper aims to develop and compare the AC low voltage (LVAC) topology with different developed algorithms. The shortest path (SP) algorithm is developed to search for minimizing the conductor usage in the first step. Two different algorithms, are repeated phase sequence (RPS-ABC) and first fit bin packing (FFBP), which are established in the second step to find out the load balancing in three-phase LVAC topology. Then, the comparative analysis of different methods is investigated considering the energy losses. Next, an impact of integrated photovoltaic (PV) uncertainties in both sitting and sizing into the optimal LVAC topology are performed using the Monte-Carlo (MC) simulation method. In this paper, simulation results obtained confirm the proposed method.

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“…This method was applied for an urban zone by considering load demand uncertainty. The optimization of the distribution system was investigated to search for the minimal investment using the path search algorithm [7]. Reference [8] used dynamic programming to get the optimal radial system.…”

Section: Introductionmentioning

confidence: 99%

Optimal Low-voltage Distribution Topology with Integration of PV and Storage for Rural Electrification in Developing Countries: A Case Study of Cambodia

Vai

Alvarez‐Hérault

Raison

et al. 2020

Journal of Modern Power Systems and Clean Energy

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This paper addresses an optimal design of low-voltage (LV) distribution network for rural electrification considering photovoltaic (PV) and battery energy storage (BES). It aims at searching for an optimal topology of an LV distribution system as well as the siting and sizing of PV and storage over a time horizon of 30 years. Firstly, the shortest-path algorithm (SPA) and first-fit bin-packing algorithm (FFBPA) are used to search for the optimal radial topology that minimizes the total length of the distribution line and improves the load balancing. Then, the optimal siting of decentralized BES (DeBES) is determined using a genetic algorithm (GA) to eliminate the undervoltage constraints due to the load consumption. Two iterative techniques are elaborated to size the maximum peak power of PV and the minimum number of DeBES that can be connected to an LV network without violating the voltage and current constraints. Then, the sizing strategy of centralized BES (CeBES) is developed to avoid reverse power flows into the medium-voltage (MV) network. Finally, a Monte Carlo approach is used to study the impact of load profile uncertainties on the topology. A non-electrified village in Cambodia has been chosen as a case study.

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Optimization of Radial Distribution Networks Using Path Search Algorithm

Cited by 19 publications

References 16 publications

Optimal Power Distribution Planning Using Improved Particle Swarm Optimization

Optimal Power Distribution Planning Using Improved Particle Swarm Optimization

Study on the Impact of Integrated Pv Uncertainties Into an Optimal Lvac Topology in a Rural Village

Optimal Low-voltage Distribution Topology with Integration of PV and Storage for Rural Electrification in Developing Countries: A Case Study of Cambodia

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