Solar Photovoltaic Integration in Monopolar DC Networks via the GNDO Algorithm

Montoya, Oscar Danilo; Gil-González, Walter; Grisales-Noreña, Luis Fernando

doi:10.3390/a15080277

Cited by 9 publications

(11 citation statements)

References 33 publications

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“…References Unipolar configuration [45][46][47][48][49][50][51] Bipolar configuration [45][46][47][52][53][54][55][56][57][58][59] Through the comparison of both configurations, the bipolar DC microgrid presented several advantages, such as a higher number of voltage levels (two instead of one), increased efficiency and a power supply with increased quality [17]. Another important feature is related to reliability, which is higher in the bipolar architecture since, in the case of having a fault in one of the wires, the load can be supplied by the other two healthy lines [17][18][19].…”

Section: Structuresmentioning

confidence: 99%

DC Microgrids: Benefits, Architectures, Perspectives and Challenges

Pires

Cordeiro

2023

Energies

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One of the major paradigm shifts that will be predictably observed in the energy mix is related to distribution networks. Until now, this type of electrical grid was characterized by an AC transmission. However, a new concept is emerging, as the electrical distribution networks characterized by DC transmission are beginning to be considered as a promising solution due to technological advances. In fact, we are now witnessing a proliferation of DC equipment associated with renewable energy sources, storage systems and loads. Thus, such equipment is beginning to be considered in different contexts. In this way, taking into consideration the requirement for the fast integration of this equipment into the existing electrical network, DC networks have started to become important. On the other hand, the importance of the development of these DC networks is not only due to the fact that the amount of DC equipment is becoming huge. When compared with the classical AC transmission systems, the DC networks are considered more efficient and reliable, not having any issues regarding the reactive power and frequency control and synchronization. Although much research work has been conducted, several technical aspects have not yet been defined as standard. This uncertainty is still an obstacle to a faster transition to this type of network. There are also other aspects that still need to be a focus of study and research in order to allow this technology to become a day-to-day solution. Finally, there are also many applications in which this kind of DC microgrid can be used, but they have still not been addressed. Thus, all these aspects are considered important challenges that need to be tackled. In this context, this paper presents an overview of the existing and possible solutions for this type of microgrid, as well as the challenges that need to be faced now.

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Section: Structuresmentioning

confidence: 99%

DC Microgrids: Benefits, Architectures, Perspectives and Challenges

Pires

Cordeiro

2023

Energies

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“…The CBGA employs an iterative process based on genetic evolution that uses selection, recombination, and mutation. The study by [26] presented the application of the generalized normal distribution optimization approach to locate and size PV sources in DC grids. This approach uses evolution rules for exploring the solution space with the aim of finding a good-quality solution.…”

Section: State Of the Artmentioning

confidence: 99%

“…For two matrices, A and B, with the same dimension m × n, the Hadamard product is defined with the operator •. In the same way, the Hadamard division is defined by the operator , as shown in (26) and (27).…”

Section: Matrix Hourly Power Flowmentioning

confidence: 99%

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An Energy Management System for PV Sources in Standalone and Connected DC Networks Considering Economic, Technical, and Environmental Indices

et al. 2022

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This research proposes an efficient energy management system for standalone and grid-connected direct current (DC) distribution networks that consider photovoltaic (PV) generation sources. A complete nonlinear programming model is formulated to represent the efficient PV dispatch problem while taking three different objective functions into account. The first objective function corresponds to the minimization of the operational costs with respect to the energy purchasing costs at terminals of the substation, including the maintenance costs of the PV sources. The second objective function is the reduction of the expected daily energy losses regarding all resistive effects of the distribution lines. The third objective function concerns the minimization of the total emissions of CO2 into the atmosphere by the substation bus or its equivalent (diesel generator). These objective functions are minimized using a single-objective optimization approach through the application of the Salp Swarm Algorithm (SSA), which is combined with a matrix hourly power flow formulation that works by using a leader–follower operation scheme. Two test feeders composed of 27 and 33 nodes set for standalone and grid-connected operation are used in the numerical validations. The standalone grid corresponds to an adaptation of the generation and demand curves for the municipality of Capurganá, and the grid-connected system is adapted to the operating conditions in the metropolitan area of Medellín, i.e., a rural area and a major city in Colombia. A numerical comparison with three additional combinatorial optimizers (i.e., particle swarm optimization (PSO), the multiverse optimizer (MVO), and the crow search algorithm (CSA)) demonstrates the effectiveness and robustness of the proposed leader–follower optimization approach to the optimal management of PV generation sources in DC grids while considering different objective function indices.

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“…According to experimental findings, GNDO performs better in accuracy and efficiency than the comparison algorithms [27]. Recently, GNDO has been used to solve many recent problems like permutation flow shop scheduling [28], solar PV integration in monopolar DC networks [29], and the medical feature selection Approach [30]. However it has not yet been utilized to solve ED problems.…”

Section: Introductionmentioning

confidence: 99%

Generalized Normal Distribution Optimization Algorithm for Economic Dispatch with Renewable Resources Integration

Hoque,

Rashidul Islam,

Shafiullah

et al. 2023

J Energ Power Technol

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In an electric power system operation, the main goal of economic dispatch (ED) is to schedule the power outputs of committed generating units efficiently. This involves consideration of relevant system equality and inequality constraints to meet the required power demand at the lowest possible operational cost. This is a challenging optimization problem for power system operators that can be dealt with efficient meta-heuristic algorithms. This article uses a recent meta-heuristic approach named the generalized normal distribution optimization (GNDO) algorithm to achieve near-optimal solutions. The efficacy of the proposed GNDO algorithm is validated through experimentation on three distinct test power system networks: one with three thermal units, the second one with six thermal-unit, and the third one with ten thermal units. The algorithm's performance is also assessed on a power network with renewable energy sources. All analyses of the four test cases are conducted on the MATLAB/SIMULINK platform. Finally, this article also compares the obtained results with other literature-reported strategies, genetic algorithm (GA), particle swarm optimization (PSO), whale optimization algorithm (WOA), flower pollination algorithm (FPA), and bald eagle search (BES) algorithm. It is evident from the simulated cases that the employed GNDO algorithm exhibits superior performance for two cases and competitive performance for the remaining cases in achieving the lowest operation costs and power losses.

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Solar Photovoltaic Integration in Monopolar DC Networks via the GNDO Algorithm

Cited by 9 publications

References 33 publications

DC Microgrids: Benefits, Architectures, Perspectives and Challenges

DC Microgrids: Benefits, Architectures, Perspectives and Challenges

An Energy Management System for PV Sources in Standalone and Connected DC Networks Considering Economic, Technical, and Environmental Indices

Generalized Normal Distribution Optimization Algorithm for Economic Dispatch with Renewable Resources Integration

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