Historical Load Balance in Distribution Systems Using the Branch and Bound Algorithm

Arias, Jorge; Calle, María; Turizo, Daniel; Guerrero, Javier; Candelo-Becerra, John E.

doi:10.3390/en12071219

Cited by 19 publications

(19 citation statements)

References 16 publications

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“…From Formula (25) and from the other previous formulas, the magnitude of the APL depends on: the magnitude of root mean square value of the current and its frequency-the higher harmonic orders.…”

Section: Of 31mentioning

confidence: 98%

The Influence of Power Quality Indices on Active Power Losses in a Local Distribution Grid

et al. 2019

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This paper deals with the topic of power quality in a local distribution grid. It is aimed to analyze the individual influences, which aggravate the power quality of the distribution grid. Based on the analysis, the most adverse effects were determined, and they were the voltage drops and supply voltage interruptions, supply voltage unbalance, load power factor, and also higher harmonics. These influences cause the technical losses in a distribution grid, which subsequently have a financial impact not only on the distribution, but also on the transmission of electricity. Only the load voltage unbalance, the load power factor, and the higher harmonics, which mainly cause the technical losses, were analyzed in this paper. The measurement of the influences of the adverse effects was performed on the model of a 22-kV distribution grid. The measurement was performed on the basis of three types of power line conductors and their different lengths, three types of active power consumption, and the different values of these adverse effects. According to this measurement, a simulation in program Matlab-Simulink was created. This simulation represented part of a 22-kV distribution grid, which was influenced by the abovementioned adverse effects. The results of the measurements were compared with the results of the simulation. Based on the evaluation of the technical losses from the measurement and the simulation, the financial losses during a certain period were calculated for the distribution system operators.

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Section: Of 31mentioning

confidence: 98%

The Influence of Power Quality Indices on Active Power Losses in a Local Distribution Grid

et al. 2019

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“…Regarding the UC coefficient, the obtained value with the proposed algorithm is identical with AG (1.0017) at the SP level, being smaller than in the case of MCLA and PSO, as shown in Figure 13. Also, a comparison with the mathematical programming models, proposed by Arias et al in [4] and Zhu et al in [42], was done considering the UC coefficient. The UC coefficient was reduced from 1.17 to 1.07 (a reduction with 9.4%) using the Branch and Bound algorithm (BBA), proposed in [4], in the case of a test radial network without lateral branches.…”

Section: Consumer' Type Initial Phasementioning

confidence: 99%

“…The average value of the current in the neutral conductor, on the first branch, is shown in Figure 14, for each algorithm. It can be observed that the smallest value was obtained by applying the proposed algorithm (2.07 A), with 22.7% better than GA. Also, a comparison with the mathematical programming models, proposed by Arias et al in [4] and Zhu et al in [42], was done considering the UC coefficient. The UC coefficient was reduced from 1.17 to 1.07 (a reduction with 9.4%) using the Branch and Bound algorithm (BBA), proposed in [4], in the case of a test radial network without lateral branches.…”

Section: Consumer' Type Initial Phasementioning

confidence: 99%

“…It can be observed that the smallest value was obtained by applying the proposed algorithm (2.07 A), with 22.7% better than GA. Also, a comparison with the mathematical programming models, proposed by Arias et al in [4] and Zhu et al in [42], was done considering the UC coefficient. The UC coefficient was reduced from 1.17 to 1.07 (a reduction with 9.4%) using the Branch and Bound algorithm (BBA), proposed in [4], in the case of a test radial network without lateral branches. The mixed-integer programming (MIP) led at a reduction of the UC coefficient from 1.086 to 1.005 (a reduction with 8%) for a test network with 6 nodes [42].…”

Section: Consumer' Type Initial Phasementioning

confidence: 99%

“…Several phase load balancing (PLB) mechanisms are found in the literature. The PLB problem was solved in [4] using the branch and bound algorithm. The aforementioned approach uses real data of customer power demand in different periods to minimize the value of unbalance factor and find the optimal three-phase load balance in an EDN.…”

Section: Introductionmentioning

confidence: 99%

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Optimal Phase Load Balancing in Low Voltage Distribution Networks Using a Smart Meter Data-Based Algorithm

et al. 2020

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In the electric distribution systems, the “Smart Grid” concept is implemented to encourage energy savings and integration of the innovative technologies, helping the distribution network operators (DNOs) in choosing the investment plans which lead to the optimal operation of the networks and increasing the energy efficiency. In this context, a new phase load balancing algorithm was proposed to be implemented in the low voltage distribution networks with hybrid structures of the consumption points (switchable and non-switchable consumers). It can work in both operation modes (real-time and off-line), uploading information from different databases of the DNO which contain: The consumers’ characteristics, the real loads of the consumers integrated into the smart metering system (SMS), and the typical load profiles for the consumers non-integrated in the SMS. The algorithm was tested in a real network, having a hybrid structure of the consumption points, on a by 24-h interval. The obtained results were analyzed and compared with other algorithms from the heuristic (minimum count of loads adjustment algorithm) and the metaheuristic (particle swarm optimization and genetic algorithms) categories. The best performances were provided by the proposed algorithm, such that the unbalance coefficient had the smallest value (1.0017). The phase load balancing led to the following technical effects: decrease of the average current in the neutral conductor and the energy losses with 94%, respectively 61.75%, and increase of the minimum value of the phase voltage at the farthest pillar with 7.14%, compared to the unbalanced case.

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Multiobjective Prosumer Surplus Management for Optimal Microgrid Operation

Ivanov¹,

Neagu²,

Cibotarica³

et al. 2021

2021 10th International Conference on ENERGY and ENVIRONMENT (CIEM)

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Historical Load Balance in Distribution Systems Using the Branch and Bound Algorithm

Cited by 19 publications

References 16 publications

The Influence of Power Quality Indices on Active Power Losses in a Local Distribution Grid

The Influence of Power Quality Indices on Active Power Losses in a Local Distribution Grid

Optimal Phase Load Balancing in Low Voltage Distribution Networks Using a Smart Meter Data-Based Algorithm

Multiobjective Prosumer Surplus Management for Optimal Microgrid Operation

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