Recent Bibliography on the Optimization of Multi-source Energy Systems

Gaabour, Amina; Metatla, Abderrezak; Kelaiaia, Ridha; Bourennani, Farid; Kerboua, Adlen

doi:10.1007/s11831-018-9271-6

Cited by 11 publications

(5 citation statements)

References 74 publications

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“…Usually (3) bulk PV stations are equipped with maximum power point tracking (MPPT) techniques [63]. A comprehensive survey of MPPT techniques for PV is introduced in [64,65], and PV mathematical modelling are surveyed in [66,67]. In [68], the authors demonstrate the equivalent linearized dynamic model of a high penetration of PV energy integrated with multi-machine power system.…”

Section: Modeling Of Pvmentioning

confidence: 99%

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Computational Methods to Mitigate the Effect of High Penetration of Renewable Energy Sources on Power System Frequency Regulation: A Comprehensive Review

El-Bahay

Lotfy

El‐Hameed

2022

Arch Computat Methods Eng

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Depletion of fossil fuel, global warming, and their environmental pollution clarify the importance of renewable energy sources (RESs). However, high penetration of RESs decreases power systems inertia, hence, the system becomes more sensitive to disturbances. This results in problems with frequency control because it increases the rate of change of frequency and may lead to load shedding or tripping of generating units. This paper aims at introducing a comprehensive survey of the effects of the increase in RESs on power system inertia and frequency. Different models of wind-driven and photovoltaic systems used for frequency control studies have been introduced. The up-to-date effective frequency regulation methods which can be used with highly RESs penetrated power systems have been revised and compared. These methods include virtual inertia-based methods depending on energy storage devices, de-loading of renewable energy sources, various inertial response techniques and demand response at load section including under frequency load shedding and electric vehicles. Extensive comparisons among these methods have been carried to guide power system designers, operators, researchers and grid codes taskforces in proper incorporation of RESs for frequency regulation of power systems.

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Section: Modeling Of Pvmentioning

confidence: 99%

“…A comprehensive survey of various modelling categories of WT generators is demonstrated in [78]. In [66,67], a review of mathematical modeling of wind power is illustrated. The mechanical power of WT ( P wt ) is shown by equations in Table 3.…”

Section: Modeling Of Wind Energymentioning

confidence: 99%

Computational Methods to Mitigate the Effect of High Penetration of Renewable Energy Sources on Power System Frequency Regulation: A Comprehensive Review

El-Bahay

Lotfy

El‐Hameed

2022

Arch Computat Methods Eng

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“…Development of renewable distributed energy has significantly increased around the globe by reason of reducing dependence on conventional power plants while at the same time minimizing the environmental impact of electricity generation [1]. As promising energy systems, microgrids powered by renewable energy sources are a viable solution for electricity shortages as they are close to the consumer and are economically feasible, now and into the future.…”

Section: Gcp(i T)mentioning

confidence: 99%

Solving the Problem of Large-Scale Optimal Scheduling of Distributed Energy Resources in Smart Grids Using an Improved Variable Neighborhood Search

Ramli

Bouchekara

2020

IEEE Access

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Since the last decade, power systems have been evolving dynamically due to smart grid technologies. In this context, energy management and optimal scheduling of different resources are very important. The main objective of this paper is to study the optimal scheduling of distributed energy resources (OSDER) problem. This problem is a challenging, complex and very large-scale mixed-integer non-linear programming (MINLP) problem. Its complexity escalates with incorporation of uncertain and intermittent renewable sources, electric vehicles, variable loads and markets which makes it hard to be solved using traditional optimization algorithms and solvers. However, it can be handled efficiently and without approximation or modification of the original formulation using modern optimization algorithms such as metaheuristics. In this paper, an improved version of the variable neighborhood search (IVNS) algorithm is proposed to solve the OSDER problem. The proposed algorithm was tested on two large-scale centralized day-ahead energy resource scenarios. In the first scenario, the 12.66 kV, 33-bus test system with a total of 49,920 design variables is used whilst in the second scenario, the 30 kV, 180-bus test system is used with a total of 154,800 design variables. The optimization results using the proposed algorithm were compared with five existing optimization algorithms, i.e., chaotic biogeography-based optimization (CBBO), cross-entropy method and evolutionary PSO (CEEPSO), chaotic differential evolution with PSO (Chaotic-DEEPSO), Levy differential evolution with PSO (Levy-DEEPSO), and the variable neighborhood search (VNS). For the first test system, the IVNS has achieved a score of-5598.89 while for the second test system it has achieved a score of-3180.15. A comparative study of the results has shown that the proposed IVNS algorithm performs better than the remaining algorithms for both cases.

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“…Other intelligent optimization techniques have been reported in the literature, including the teaching learning-based optimization (TLBO) [33], tabu search (TS) [34], simulated annealing (SA) [35], cuckoo search algorithm (CSA) [36], artificial immune system (AIS) [37], and Grasshopper optimization system (GOA) [25]. Recent review publications [38,39] have presented in-depth evaluations of the optimization tools tested in these studies [40]. Recent review publications [38,39] have presented comprehensive comparative investigations of these tested optimization tools [40].…”

Section: Introductionmentioning

confidence: 99%

“…Recent review publications [38,39] have presented in-depth evaluations of the optimization tools tested in these studies [40]. Recent review publications [38,39] have presented comprehensive comparative investigations of these tested optimization tools [40]. Another team of academics has reported encouraging advancements in the application of a multi-objective evolutionary algorithm for designing and sizing [41].…”

Section: Introductionmentioning

confidence: 99%

Sizing of Hybrid PV/Battery/Wind/Diesel Microgrid System Using an Improved Decomposition Multi-Objective Evolutionary Algorithm Considering Uncertainties and Battery Degradation

et al. 2023

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In this paper, a small-scale PV/Wind/Diesel Hybrid Microgrid System (HMS) for the city of Yanbu, Saudi Arabia is optimally designed, considering the uncertainties of renewable energy resources and battery degradation. The optimization problem is formulated as a multi-objective one with two objective functions: the Loss of Power Supply Probability (LPSP) and the Cost of Electricity (COE). An Improved Decomposition Multi-Objective Evolutionary Algorithm (IMOEAD) is proposed and applied to solve this problem. In this approach, different decomposition schemes are combined effectively to achieve better results than the classical MOEA/D approach. Twelve case studies are investigated based on different scenarios and different numbers of houses (5 and 10 houses). Each time, the suggested approach produced a set of solutions that formed a Pareto front (PF). Considering a variety of parameters, the optimal compromise option can be selected by the designer from the PF.

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Recent Bibliography on the Optimization of Multi-source Energy Systems

Cited by 11 publications

References 74 publications

Computational Methods to Mitigate the Effect of High Penetration of Renewable Energy Sources on Power System Frequency Regulation: A Comprehensive Review

Computational Methods to Mitigate the Effect of High Penetration of Renewable Energy Sources on Power System Frequency Regulation: A Comprehensive Review

Solving the Problem of Large-Scale Optimal Scheduling of Distributed Energy Resources in Smart Grids Using an Improved Variable Neighborhood Search

Sizing of Hybrid PV/Battery/Wind/Diesel Microgrid System Using an Improved Decomposition Multi-Objective Evolutionary Algorithm Considering Uncertainties and Battery Degradation

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