Distribution network phase load balancing as a combinatorial optimization problem using fuzzy logic and Newton–Raphson

Siti, W.M.; Jimoh, A.A.; Nicolae, D.V.

doi:10.1016/j.epsr.2010.12.006

Cited by 39 publications

(26 citation statements)

References 9 publications

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“…This helps in accommodating more DG variations in the network without incurring voltage constraint violations if the most probable scenario takes place. However, the optimal configuration (4,8,11) at 13:00 shown in Table 4, found by the MPS method, results in constraint violation if the worst case scenario (scenario2) takes place because the MPS method does not take into account the worst case scenario when finding the optimal configuration.…”

Section: Grid Reconfiguration Under Der Uncertainty-open Loop Implemementioning

confidence: 92%

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Novel methodology for optimal reconfiguration of distribution networks with distributed energy resources

Ramaswamy

Tant

Pillai

2015

Electric Power Systems Research

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Section: Grid Reconfiguration Under Der Uncertainty-open Loop Implemementioning

confidence: 92%

“…EVs) provide (7,9,11) (right) [15]. [6][7][8]. Under emergency operating conditions like faults in the lines, transformers or protection devices, [9,10] focused on minimizing the number of interrupted customers.…”

Section: Introductionmentioning

confidence: 99%

Novel methodology for optimal reconfiguration of distribution networks with distributed energy resources

Ramaswamy

Tant

Pillai

2015

Electric Power Systems Research

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“…The problem is constrained to a limited number of phase changes, since a significant reduction of the unbalance is achievable with only few changes. Moreover, the more the changes, the higher the cost for the DSO [7]. Different objectives can be taken to be minimized, like the minimization of the Voltage Unbalance Factor (VUF).…”

Section: Phase Switchingmentioning

confidence: 99%

Phase switching and phase balancing to cope with a massive photovoltaic penetration

Weckx

GonzalezDeMiguel

Vingerhoets

et al. 2013

22nd International Conference and Exhibition on Electricity Distribution (CIRED 2013)

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This paper compares two methods that result in a more balanced operation of the electricity grid. A balanced distribution grid results in improved voltage profiles, a lower voltage unbalance and lower losses. The first method discusses the changing of the phase connection of single-phase customers. Optimization techniques with a constrained maximum number of changes show that this passive solution may be suitable for unbalanced grids. Secondly the effect of balancing three-phase PV-inverters is investigated. The proposed control consists of injecting the majority of the produced power in the phase with the highest power consumption, based only on local voltage information. Both methods are evaluated with extensive load flow simulations with real data.

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“…Its main component is the LCS, which supervises energy consumption in residential units to identify imbalanced load feeders assuming that a selection can be made for switching in the LV grid. Simultaneously, the Feeder Control Supervisor (FCS) identifies the grid feeder load imbalance, and coordinates the load transfer to reestablish the steady state [38].…”

Section: Urban Microgrid In the Smart-grid Contextmentioning

confidence: 99%

“…An alternative to implementing the above-mentioned techniques is phase-load balancing, which consists of switching single-phase consumer units to the phases of the LV grid that are balanced. The procedure is based on the use of identification algorithms and load transfer management, aiming at minimizing current and load consumption [38] or voltage and load [27]. In both cases, the voltage and load equilibrium state in the grid phases is guaranteed; however, the switching choice is based only on current load consumption of consumers' units, disregarding the imbalance level and the future states of load consumption, which could contribute to the robustness of the system to eventual consumption peaks and to the durability of the load stability over time.By contrast, it has been observed that the use of Petri nets (PNs) in complex systems is quite broad [39], due to its formal modeling, simulation and property verification capabilities [40][41][42], which allows development and verification of intelligent algorithms for control and supervision of application in smart grids [43,44].…”

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confidence: 99%

A Load-Balance System Design of Microgrid Cluster Based on Hierarchical Petri Nets

et al. 2018

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In the new paradigm of urban microgrids, load-balancing control becomes essential to ensure the balance and quality of energy consumption. Thus, phase-load balance method becomes an alternative solution in the absence of distributed generation sources. Development of efficient and robust load-balancing control algorithms becomes useful for guaranteeing the load balance between phases and consumers, as well as to establish an automatic integration between the secondary grid and the supervisory center. This article presents a new phase-balancing control model based on hierarchical Petri nets (PNs) to encapsulate procedures and subroutines, and to verify the properties of a combined algorithm system, identifying the load imbalance in phases and improving the selection process of single-phase consumer units for switching, which is based on load-imbalance level and its future state of load consumption. A reliable flow of automated procedures is obtained, which effectively guarantees the load equalization in the low-voltage grid.Energies 2018, 11, 3245 2 of 30In the case of urban microgrids with distributed generation, the load-balancing method is based on the "electric current injection" in consumer unit phases, as well as in the phases of the LV grid, compensating for the imbalance of load and voltage. However, it is necessary to use a complex AC/DC-DC/AC signal converter control architecture called Microgrid Central Control (MGCC) [28], frequency inverters [29] and, in particular, supervision and control algorithms that optimize power and electric current flow [20]. The MGCC usually manages this automated solution flow, which does not always guarantee the efficient control of the phase shift effects between the main electrical current and the injected electrical current [30].The load-balance procedure based on the "coordinated load balance" offers a wide range of control features for current injection, working synchronously with the grid transformer [16], with frequency compensation between the grid phases and consumer units, along with phase compensation between the grids' electrical current and the electric current injected [31]. Ensuring robustness and load balancing, however, requires a complex central control and supervision structure with local (distributed) controllers with high-reliability algorithms [32] that ensure automated operational integration at all control and supervisory levels.Another method of load balance based on "integrated multimicrogrids control" is being widely used because of the large mix of micro-sources of energy to be applied for load-balancing [22,29,33], along with frequency and phase compensation in the grid and consumer units [34], also requiring a complex architecture with control and supervision algorithms that efficiently coordinate current injection and frequency and phase compensation in the LV grid [9,11,35], as well such as a large number of distributed generation units [36], which in fact means a great limitation for a large-scale implementation in developing countries [7,3...

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Distribution network phase load balancing as a combinatorial optimization problem using fuzzy logic and Newton–Raphson

Cited by 39 publications

References 9 publications

Novel methodology for optimal reconfiguration of distribution networks with distributed energy resources

Novel methodology for optimal reconfiguration of distribution networks with distributed energy resources

Phase switching and phase balancing to cope with a massive photovoltaic penetration

A Load-Balance System Design of Microgrid Cluster Based on Hierarchical Petri Nets

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