Statistical Analysis of Voltage Sensitivity in Distribution Systems Integrating DG

Cabana, K.; Candelo, John E.; Castillo, Rafael

doi:10.1109/tla.2016.7786309

Cited by 3 publications

(4 citation statements)

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“…The voltages have an exponential increase and the power flow shows that some nodes are overloaded. The simulations show a similar result obtained in previous results related to not exceed 30% of the power load [16], [21]. Figure 3 presents the voltage sensitivity analysis of the 33-node radial distribution network.…”

Section: Test Cases and Simulationssupporting

confidence: 84%

“…Finding the node to inject power in the distribution network is important for this study, because it defines the best place to install the DG, maintaining good operating conditions of the system under study. For this purpose, the following three stages were proposed in the analysis to determine the best nodes to inject power in the distribution networks [16]. Stage 1: distribution networks must be modelled to identify voltage sensitivities of different nodes when installing DG.…”

Section: Nodes For Injecting Powermentioning

confidence: 99%

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Voltage sensitivity analysis to determine the optimal integration of distributed generation in distribution systems

Cabana

Candelo

Castillo³

et al. 2019

IJECE

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This paper presents a voltage sensitivity analysis with respect to the real power injected with renewable energies to determine the optimal integration of distributed generation (DG) in distribution systems (DS). The best nodes where the power injections improve voltages magnitudes complying with the constraints are determined. As it is a combinatorial problem, particle swarm optimization (PSO) and simulated annealing (SA) were used to change injections from 10% to 60% of the total power load using solar and wind generators and find the candidate nodes for installing power sources. The method was tested using the 33-node, 69-node and 118-node radial distribution networks. The results showed that the best nodes for injecting real power with renewable energies were selected for the distribution network by using the voltage sensitivity analysis. Algorithms found the best nodes for the three radial distribution networks with similar values in the maximum injection of real power, suggesting that this value maintains for all the power system cases. The injections applied to the different nodes showed that voltage magnitudes increase significantly, especially when exceeding the maximum penetration of DG. The test showed that some nodes support injections up to the limits, but the voltages increase considerably on all nodes.

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Section: Test Cases and Simulationssupporting

confidence: 84%

Section: Nodes For Injecting Powermentioning

confidence: 99%

Voltage sensitivity analysis to determine the optimal integration of distributed generation in distribution systems

Cabana

Candelo

Castillo³

et al. 2019

IJECE

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“…Feeder switching is the load redistribution by changing the status of tie switches and sectionalized switches [12,13]. The feasible switching combinations increase exponentially with the number of switches in the system.…”

Section: The Fuzzy Index Feeder Switchingmentioning

confidence: 99%

“…The genetic algorithm (GA) [9,10] was proposed, but the calculation time was long and increased exponentially with the increased complexity of the system. Simulated annealing (SA) [11][12][13] is a comprehensive random search method, where the convergent speed is slow and very often trapped in the local optimum. The selection of initial temperature is critical, with the need of an effective disturbance mechanism, or the method could fail [14,15].…”

Section: Introductionmentioning

confidence: 99%

Generalized Distribution Feeder Switching with Fuzzy Indexing for Energy Saving

Lin

Tsai

2023

Processes

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The objective of this study is to analyze feeder loss minimization and load balance under given constrains. Effective methods are required for feeder switching/reconfiguration. Feeder switching is a mixed-integer large-scale combinatorial problem for optimization, not easily solvable with classical optimization techniques, especially involving a great number of switches. This paper proposes a fuzzy indexing algorithm for feeder switching, with membership functions defined for switches such as thermometers or indices. The optimal switches can be determined through fuzzy index operations. With membership functions defined, the developed method used numerical operations for indices instead of the “set” operation or the min-max operations of traditional fuzzy algorithms. The optimization problem becomes a simple numeric calculation instead of a large-scale sorting problem and is much faster than most algorithms. It greatly reduces the computation time and enhances efficiency, which is suitable for either planning or operation purposes. Many algorithms were tested with three typical examples chosen for illustration, including the “optimal” results with an exhausted search. It shows that the proposed algorithm is very effective and can balance the load to reduce the loss and costs in obtaining the solution.

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Tuning interconnection relays using a multi-agent system to detect weak infeed conditions

Treviño¹,

Enrı́quez

Fernández

et al. 2019

Electric Power Systems Research

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Statistical Analysis of Voltage Sensitivity in Distribution Systems Integrating DG

Cited by 3 publications

References 0 publications

Voltage sensitivity analysis to determine the optimal integration of distributed generation in distribution systems

Voltage sensitivity analysis to determine the optimal integration of distributed generation in distribution systems

Generalized Distribution Feeder Switching with Fuzzy Indexing for Energy Saving

Tuning interconnection relays using a multi-agent system to detect weak infeed conditions

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