Optimal scheduling of dispatchable distributed generation in smart environment with the aim of energy loss minimization

Rahiminejad, Abolfazl; Vahidi, B.; Hejazi, Maryam A.; Shahrooyan, S.

doi:10.1016/j.energy.2016.09.111

Cited by 22 publications

(10 citation statements)

References 13 publications

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“…For this reason, the presented PLR model of this paper is developed according to a 3‐phase balanced and radial primary distribution network. This issue is extensively utilized in several research works in the area of the PLR in distribution networks …”

Section: Problem Formulationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

“…Rahiminejad et al has presented a DG‐incorporated planning strategy with the purpose of PLR and voltage profile improvement in distribution networks. The model of Rahiminejad et al specifies the optimum location and capacity of DG throughout a distribution network. Similarly, considering the reconfiguration as 1 of the chief alternatives of PLR procedure in DG‐incorporated distribution networks, Fathabadi has presented an optimization problem, in which the optimal switching strategy is determined.…”

Section: Introductionmentioning

confidence: 99%

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A novel approach for power loss reduction in distribution networks considering budget constraint

Ahmadi

Ahmadigorji

Tohidifar

2018

Int Trans Electr Energ Syst

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Summary This paper presents an efficient framework for power loss reduction (PLR) in distribution networks. The aim of the suggested PLR model is to maximize the benefit earned for every dollar annually paid for the PLR purposes. As a main contribution compared with other works in the area of PLR, the budget constraint is incorporated with the presented model. Furthermore, in this paper, 4 potential alternatives implemented for PLR including distributed generation installation, network reconfiguration, distribution feeders' reinforcement, and installation of capacitor banks are simultaneously employed and subsequently, the optimum portion of each, based on the considered budget limitation, is determined. To solve the formulated PLR model, the integer‐based particle swarm optimization algorithm is utilized. The suggested PLR model together with integer‐based particle swarm optimization has been implemented in MATLAB programming environment structurally integrated with DIgSILENT software. Additionally, simulations are carried out on 2 distribution systems encompassing the IEEE 33‐bus and a 94‐bus real‐world distribution system. The obtained results for both of distribution systems demonstrate that the variation in limitation of budget can change the portion of each of 4 loss reduction alternatives and also the benefit received versus each dollar of annual expenditure. Furthermore, it is comprehended that the more than enough growth in investment cost can potentially decrease the benefit earned versus each dollar of annual cost paid for the PLR implementation.

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Section: Problem Formulationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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A novel approach for power loss reduction in distribution networks considering budget constraint

Ahmadi

Ahmadigorji

Tohidifar

2018

Int Trans Electr Energ Syst

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“…Among these, the GA and PSO yield relevant results [7]. Rahiminejad et al minimized the losses in the smart distribution network with the optimal management of the DGs [8]. In another research conducted by Zhan et al, the optimal location of the DG was determined based on the short circuit current [9].…”

Section: Introductionmentioning

confidence: 99%

Congestion Control by Optimal Engagement of Distribution Generation using Hybrid Evolutionary Algorithm

Paul¹,

Kumar²,

Dalapati³

2019

IJITEE

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The power system congestion is treated as a vital issue in the restructured topology of the power system. The analysis of appropriate technique to control congestion is of preeminent interest. This paper proposes a congestion controlling scheme with the optimal placement and sizing of the Distributed Generation (DG) so as to ensure an optimal power flow in the power system network. A multi-objective framework is formulated for the proposed approach considering the operating cost, Voltage Stability Index (VSI) and the system losses. A hybrid optimization technique is proposed involving Improved Genetic Algorithm (IGA) and Bat Algorithm (BA) to optimize the objectives proposed in this research. The efficiency of the proposed methodology is verified using IEEE 33 and 69 bus systems. A comparative analysis is established between the outcomes obtained with hybrid IGA-BA and Particle Swarm Optimization (PSO) technique. The output obtained clarifies that by combining IGA and BA, greater efficiency is achieved compared to the PSO algorithm output.

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“…Stochastic model of coordinating the generating units installed in MG has been introduced in Refs. [16][17][18]. Bahramara, et al [19] presented bi-level optimization approach for achieving the objectives of Disco and MGs.…”

Section: Introductionmentioning

confidence: 99%

Single and multi-objective operation management of micro-grid using krill herd optimization and ant lion optimizer algorithms

Fathy

Abdelaziz

2018

Int J Energy Environ Eng

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In this paper, two recent heuristic optimization algorithms are presented to optimally manage the operation of the microgrid (MG) with installed renewable energy sources (RESs); krill herd (KH) optimization and ant lion optimizer (ALO) algorithms. The first algorithm is used for solving single-objective function represents either total operation cost or total pollutant emission injected from the installed generating units while ALO is applied to solve the multi-objective function of both total operating cost and emission. The problem is formulated as nonlinear constrained objective function with equality and inequality constraints. In this work; the devices installed in MGs are photovoltaic panel (PV), wind turbine (WT), microturbine (MT), fuel cell (FC), battery and grid. Two scenarios are studied; the first one is optimizing MG with installing all RESs within specified limits in addition to grid, while the second scenario is operating both PV and WT at their rated powers. The obtained results are compared with different reported algorithms like genetic algorithm (GA), Fuzzy self-adaptive PSO (FSAPSO) and others programmed like particle swarm optimization (PSO), grey-wolf optimizer (GWO) and whale optimization algorithm (WOA). For first scenario; the proposed KH gives the best optimal cost of 105.94 €ct while the best emission is 420.57 kg, the best optimal cost and emission of 592.86 €ct 339.71 kg are obtained via KH in the second scenario.

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Optimal scheduling of dispatchable distributed generation in smart environment with the aim of energy loss minimization

Cited by 22 publications

References 13 publications

A novel approach for power loss reduction in distribution networks considering budget constraint

A novel approach for power loss reduction in distribution networks considering budget constraint

Congestion Control by Optimal Engagement of Distribution Generation using Hybrid Evolutionary Algorithm

Single and multi-objective operation management of micro-grid using krill herd optimization and ant lion optimizer algorithms

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