A Hybrid Optimization Approach for Power Loss Reduction and DG Penetration Level Increment in Electrical Distribution Network

Beza, Teketay Mulu; Huang, Yen‐Chang; Kuo, Cheng‐Chien

doi:10.3390/en13226008

Cited by 15 publications

(6 citation statements)

References 46 publications

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“…This brings the total number of PMUs to 6. Network observability is examined in five microgrids to evaluate the usefulness of the suggested method, including 94 bus Portuguese distribution system, IEEE 33 bus test system, 49 bus and 53 bus test systems developed from IEEE 33 bus and IEEE 69 bus test system [39][40][41]. Table 1 shows the results.…”

Section: The Proposed Methods For Allocating Pmusmentioning

confidence: 99%

Robust dynamic and algebraic state estimation for microgrids: A generalized approach

Pourkeivani,

Abedi,

Kouhsari

et al. 2023

IET Renewable Power Gen

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Network control, optimization, and security analysis are facilitated by accurate microgrid state estimation. By utilizing phasor measurement units (PMUs), a combined robust centralized dynamic algebraic approach is proposed in this paper for estimating algebraic states (voltage phasors) as well as dynamic states (associated with synchronous generators and wind turbines). Assuming that a load is placed on each bus, an innovative PMU placement method is also presented to provide measurements for all dynamic and algebraic state variables. As a robust link between algebraic state estimation and dynamic state estimation, the output results of the least absolute value (LAV) estimator, which is robust against bad data, are fed to dynamic state estimators as pseudo measurements. Next, to address the nonlinearity of synchronous generator and wind turbine models, an unscented Kalman filter (UKF) is applied to estimate dynamic states precisely. The numerical tests on a microgrid test system show that the suggested approach is suitable for both algebraic and dynamic state estimation. Synchronous generators and wind turbines are modeled using nonlinear models of the 9th and third orders, respectively, and static loads are modeled as voltage‐frequency dependent ones.

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Section: The Proposed Methods For Allocating Pmusmentioning

confidence: 99%

Robust dynamic and algebraic state estimation for microgrids: A generalized approach

Pourkeivani,

Abedi,

Kouhsari

et al. 2023

IET Renewable Power Gen

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“…The considered fitness function of the PNR problem is formulated in Equation ( 6), comprising the three reliability indices of SAIFI, SAIUI and TENS as an MOF model. If the CF value is lower than 0.5, the fresh place of each jellyfish could be developed, depending on the moving inside the swarm, via either Equation ( 16) representing the passive type or Equation (17) following the active type as shown [26]:…”

Section: Jfs Optimizermentioning

confidence: 99%

“…Additionally, in the presence of distributed generations (DGs), electricity network automation has been addressed based on the PNR and optimal operation of dispatchable and non-dispatchable DGs [14]. Numerous research have also been conducted using several objective features and optimization approaches such as Mixed-Integer Linear Programming [15], equilibrium optimizer [16], hybrid of analytical approach and particle swarm optimization [17,18], Water Cycle Algorithm [19] and Chaos Disturbed Beetle Antennae Search [20].…”

Section: Introductionmentioning

confidence: 99%

Optimal Operational Reliability and Reconfiguration of Electrical Distribution Network Based on Jellyfish Search Algorithm

et al. 2022

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In this paper, the electricity network automation based on Power Network Reconfiguration (PNR) is implemented to improve the operational reliability of distribution systems using jellyfish search algorithm. For this purpose, system average interruption frequency index (SAIFI), system average interruption unavailability index (SAIUI) and total energy not supplied (TENS) are critical measures. In this paper, a new optimization technique of jellyfish search (JFS) algorithm is employed for distribution network reconfiguration for reliability improvement. It is concerned with the moving patterns of jellyfish. They are divided into three categories. The jellyfish could flow towards the ocean current or between its own swarm. Meanwhile, whenever the food supply is adequate, the jellyfishes are attracted to its location. It is formulated considering the three reliability indices of SAIFI, SAIUI and TENS, simultaneously in a multi-objective model based on the weight factors. The proposed methodology based on the JFS optimizer is implemented on an IEEE 33-node distribution network. According to the numerical results, the SAIFI, SAIUI and TENS is improved by 36.44%, 34.11% and 33.35%, compared to the initial condition. For comparison purposes, tuna swarm optimizer and tunicate swarm algorithm, besides the JFS algorithm, are implemented as well. The simulation results declare the significant outperformance of the JFS algorithm compared to TUNA and TSA in terms of the obtained improvements and the regarding convergence properties.

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“…Issues related to the minimization of power losses are often associated with the use of optimization methods and issues, which are described in detail in the review provided in [6]. In many papers [7][8][9][10][11][12][13][14][15][16][17][18][19], researchers use various optimization methods, in which one of the objective functions is reducing power losses.…”

mentioning

confidence: 99%

“…In order to reduce power losses and increase the level of DG penetration in radial distribution networks, the authors of [16] used hybrid optimization consisting of an analytical approach and particle swarm optimization (PSO). In each of the analyzed cases, the power losses were reduced by over 80%, while the DG penetration was also increased by over 80% in each of the variants.…”

mentioning

confidence: 99%

Influence of the Type of Receiver on Electrical Energy Losses in Power Grids

Kłosowski

Mazur

2023

Energies

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The development of power electronics, including high-efficiency power supply systems, changes the structure of perception of the types of electrical energy receivers connected to the power grid at each supply voltage level. In the past, the dominant type of receivers were constant impedance devices. Currently, more and more devices have power supplies, which are most often constant power receivers. The construction and technological diversity of receivers allows mixed receivers, which are a combination of constant power and constant impedance receivers, to be distinguished. Therefore, there is a need to determine the impact of the type of electrical energy receivers on the power grid, both in the context of the operation of a single receiver and in the case of a branched power grid with a high penetration of distributed generation. This article will discuss the impact of the type of electrical energy receivers on the operation of the power grid, with particular emphasis on the issue of electrical energy losses at changing voltages. To determine the impact of receivers, simulation studies were performed based on two case stages: the first is a fragment of a low-voltage power grid in a household that supplies a heating device, which is analyzed as a different type of receiver; the second is a fragment of a low-voltage power grid with various types of consumers and photovoltaic installations. The research was carried out on the basis of the mathematical model of the low-voltage power network developed by the authors using the electric multipole method and Newton’s method. The obtained results show that the type of receiver may have an impact on electrical energy losses.

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A Hybrid Optimization Approach for Power Loss Reduction and DG Penetration Level Increment in Electrical Distribution Network

Cited by 15 publications

References 46 publications

Robust dynamic and algebraic state estimation for microgrids: A generalized approach

Robust dynamic and algebraic state estimation for microgrids: A generalized approach

Optimal Operational Reliability and Reconfiguration of Electrical Distribution Network Based on Jellyfish Search Algorithm

Influence of the Type of Receiver on Electrical Energy Losses in Power Grids

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