Optimal Location and Sizing of DGs in DC Networks Using a Hybrid Methodology Based on the PPBIL Algorithm and the VSA

Grisales-Noreña, Luis Fernando; Montoya, Oscar Danilo; Hincapié-Isaza, Ricardo Alberto; Echeverri, Mauricio Granada; Perea-Moreno, Alberto-Jesús

doi:10.3390/math9161913

Cited by 11 publications

(6 citation statements)

References 29 publications

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“…Equation ( 14) can be used to calculate the processing time required to evaluate the entire particle swarm using parallel processing, i.e., the Parallel Processing Time (PPT). In this equation, n denotes the number of particles in the swarm; W, the number of workers in the computer; and MTPR, the longest time required to evaluate all the particles using parallel processing [30]. Moreover, function CEIL in this equation makes it possible to obtain the integer of the ratio between the number of particles (n) and the number of workers (W); this in order to determine the number of times that the MTPR is required depending on the n and W selected or used.…”

Section: Parallel Proccessingmentioning

confidence: 99%

Integration of PV Distributed Generators into Electrical Networks for Investment and Energy Purchase Costs Reduction by Using a Discrete–Continuous Parallel PSO

et al. 2022

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The problem of optimally integrating PV DGs into electrical networks to reduce annual costs (which include energy purchase and investment costs) was addressed in this research by presenting a new solution methodology. For such purpose, we used a Discrete–Continuous Parallel Particle Swarm Optimization method (DCPPSO), which considers both the discrete and continuous variables associated with the location and sizing of DGs in an electrical network and employs a parallel processing tool to reduce processing times. The optimization parameters of the proposed solution methodology were tuned using an external optimization algorithm. To validate the performance of DCPPSO, we employed the 33- and 69-bus test systems and compared it with five other solution methods: the BONMIN solver of the General Algebraic Modeling System (GAMS) and other four discrete–continuous methodologies that have been recently proposed. According to the findings, the DCPPSO produced the best results in terms of quality of the solution, processing time, and repeatability in electrical networks of any size, since it showed a better performance as the size of the electrical system increased.

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Section: Parallel Proccessingmentioning

confidence: 99%

Integration of PV Distributed Generators into Electrical Networks for Investment and Energy Purchase Costs Reduction by Using a Discrete–Continuous Parallel PSO

et al. 2022

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“…These technologies provide the grid with active and reactive power in order to improve the technical, economical, and environmental indicators related to the operation of the grid [4]. However, the positive or negative effects of these devices on the electrical grid depend on the location and sizing of the DERs within the electrical system [5]. Therefore, the key to improving the technical and economical conditions of EDSs is to use an optimization algorithm to solve the mathematical formulation that represents the problem of the optimal integration of DERs into electrical grids.…”

Section: Introductionmentioning

confidence: 99%

A Discrete-Continuous PSO for the Optimal Integration of D-STATCOMs into Electrical Distribution Systems by Considering Annual Power Loss and Investment Costs

et al. 2022

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Currently, with the quick increase in global population, the energetic crisis, the environmental problematic, and the development of the power electronic devices generated the need to include new technologies for supporting and potentiating electrical distributions systems; Distribution Static Compensators (D-STATCOMs) are highly used for this task due to the advantages that this technology presents: reduction in power loss, operation costs, and chargeability of branches, among others. The possibility to include this kind of technology within the electrical system has shown the need to develop efficient methodologies from the point of view of quality solution, repeatability and processing times by considering operation and investment costs as well as the technical conditions of the electrical grids under a scenario of variable power demand and then representing the real operation of the electrical grid. With the aim to propose a solution for this requirement, this paper presents a new Discrete-Continuous Particle Swarm Optimization (DCPSO) algorithm to solve the problem of the optimal integration of D-STATCOMs into Electrical Distribution Systems (EDSs). In this case, the objective function is the minimization of annual operating costs by using a weighted mono-objective function composed of the annual power loss and the investment cost and by including all constraints associated with the operation of an EDS in a distributed reactive compensation environmentinside the mathematical formulation. In order to evaluate the effectiveness and robustness of the proposed solution method, this study implemented two tests systems (i.e., 33- and 69-bus), as well as four comparison methods, and different considerations related to the inclusion of D-STATCOMs in the EDSs. Furthermore, for evaluating the repeatability of the solution obtained by each solution methods used, each algorithm was executed 100 times in Matlab software. The results obtained demonstrated that the proposed DCPSO/HSA methodology achieved the best trade-off between solution quality and processing time, with low standard deviation values for EDSs of any size.

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“…are more compatible with DC technologies in nature, the fully DC grid is becoming a reality. Like in the AC networks (Li et al, 2019b), power flow (PF) analysis has drawn strong attention in DC networks with the nonlinear electronic loads (Montoya, 2019), and it presents an essential tool to plan, operate and control DC grids (Li et al, 2018;Grisales-Norena et al, 2021). The PF in DC networks has some similarities with the AC case, but as pointed in Garces, (2018), there are several important differences that deserve to be further concerned.…”

Section: Introductionmentioning

confidence: 99%

An improved Newton-Raphson based linear power flow method for DC grids with dispatchable DGs and ZIP loads

Wang

Lin³

et al. 2022

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Purpose This study aims to provide a solution of the power flow calculation for the low-voltage ditrect current power grid. The direct current (DC) power grid is becoming a reliable and economic alternative to millions of residential loads. The power flow (PF) in the DC network has some similarities with the alternative current case, but there are important differences that deserve to be further concerned. Moreover, the dispatchable distributed generators (DGs) in DC network can realize the flexible voltage control based on droop-control or virtual impedance-based methods. Thus, DC PF problems are still required to further study, such as hosting all load types and different DGs. Design/methodology/approach The DC power analysis was explored in this paper, and an improved Newton–Raphson based linear PF method has been proposed. Considering that constant impedance (CR), constant current (CI) and constant power (CP) (ZIP) loads can get close to the practical load level, ZIP load has been merged into the linear PF method. Moreover, DGs are much common and can be easily connected to the DC grid, so V nodes and the dispatchable DG units with droop control have been further taken into account in the proposed method. Findings The performance and advantages of the proposed method are investigated based on the results of the various test systems. The two existing linear models were used to compare with the proposed linear method. The numerical results demonstrate enough accuracy, strong robustness and high computational efficiency of the proposed linear method even in the heavily-loaded conditions and with 10 times the line resistances. Originality/value The conductance corresponding to each constant resistance load and the equivalent conductance for the dispatchable unit can be directly merged into the self-conductance (diagonal component) of the conductance matrix. The constant current loads and the injection powers from dispatchable DG units can be treated as the current sources in the proposed method. All of those make the PF model much clear and simple. It is capable of offering enough accuracy level, and it is suitable for applications in DC networks that require a large number of repeated PF calculations to optimize the energy flows under different scenarios.

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Optimal Location and Sizing of DGs in DC Networks Using a Hybrid Methodology Based on the PPBIL Algorithm and the VSA

Cited by 11 publications

References 29 publications

Integration of PV Distributed Generators into Electrical Networks for Investment and Energy Purchase Costs Reduction by Using a Discrete–Continuous Parallel PSO

Integration of PV Distributed Generators into Electrical Networks for Investment and Energy Purchase Costs Reduction by Using a Discrete–Continuous Parallel PSO

A Discrete-Continuous PSO for the Optimal Integration of D-STATCOMs into Electrical Distribution Systems by Considering Annual Power Loss and Investment Costs

An improved Newton-Raphson based linear power flow method for DC grids with dispatchable DGs and ZIP loads

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