Optimal Placement and Sizing of Renewable Distributed Generation Using Hybrid Metaheuristic Algorithm

Radosavljević, Jordan; Arsić, Nebojša; Milovanović, Miloš; Ktena, Aphrodite

doi:10.35833/mpce.2019.000259

Cited by 86 publications

(46 citation statements)

References 27 publications

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“…(t) G P is an active power generated by photovoltaic plant;  is specific cost of electricity generated by photovoltaic plant, which includes operating costs [10]. Boundary conditions include:…”

Section: Methodsmentioning

confidence: 99%

Optimization of daily operation mode of photovoltic systems of enterprises

Gayibov

Abdullaev

2021

E3S Web Conf.

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At present, one of the most important issues at the level of various manufacturing enterprises is the development of ways for building and efficiently using renewable energy sources, especially solar energy. In this regard, this article proposes a mathematical model of the problem of determining the optimal daily mode of operation of a photovoltaic system in an enterprise with a private photovoltaic system connected to the electrical system. The effectiveness of the mathematical model was analyzed on the example of determining the optimal mode of operation of the photovoltaic system located on the territory of Jizzakh Polytechnic Institute. It is shown that the mathematical model can be used to determine the optimal operating modes of existing photovoltaic systems in enterprises and distribution networks, as well as to determine the optimal parameters in their design.

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Section: Methodsmentioning

confidence: 99%

Optimization of daily operation mode of photovoltic systems of enterprises

Gayibov

Abdullaev

2021

E3S Web Conf.

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“…Driven by the recent development of metaheuristic algorithms, various variants were widely utilized for solve planning problem of PV, such as Jaya algorithm [18], artificial bee colony algorithm [19], gravitational search algorithm [20], genetic algorithm [21], and hybrid algorithms [22]. Metaheuristic algorithms are flexible for multi-objective optimization problems without ensuring a globally optimized solution as they may be trapped into a local minima based on the initial random variables and preset parameters.…”

Section: Introductionmentioning

confidence: 99%

Comprehensive Analytical Expressions for Assessing and Maximizing Technical Benefits of Photovoltaics to Distribution Systems

Mahmoud

Lehtonen

2021

IEEE Trans. Smart Grid

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The proliferation of photovoltaic (PV) can cause several operational problems in distribution systems. In this paper, comprehensive analytical expressions (CAEs) are proposed for maximizing the technical benefits of multiple PV units to distribution systems considering the uncertainty of PV generation and load profiles. Specifically, the proposed CAEs quantify and optimize the following five vital indices with multiple PV units: 1) active energy losses, 2) reactive losses, 3) voltage deviations, 4) line congestion margin, and 5) voltage stability index. The smart functions of the PV inverter (i.e. reactive power support and active power curtailment) are also incorporated in the CAEs, complying with the revised IEEE 1547:2018 standard. Further, various PV tracking options are considered, including fixed, one-axis, and two-axis trackers. Unlike existing approaches, the CAEs can simultaneously solve the optimal allocation problem of multiple PV units in a direct manner without needing optimization algorithms, iterative processes, or simplifying procedures. The calculated results reveal the high performance of the CAEs in terms of accuracy, flexibility and computational speed while providing further PV planning options. Moreover, CAEs are effectively utilized for two other applications with promising computational performance, i.e. rapid assessment of PV impacts with annual datasets and optimal centralized/decentralized inverter control.

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“…D UE to cleanliness, safety, and adequacy, wind power generation has experienced rapid development in the past decades [1]- [3]. Doubly-fed induction generator (DFIG) is one of the most commercialized wind turbines (WTs) with good performance in integrating intermittent wind power, but its converter control makes the rotor speed decoupled with the system frequency [3].…”

Section: Introductionmentioning

confidence: 99%

Virtual Inertia Estimation Method of DFIG-based Wind Farm with Additional Frequency Control

Chen

2021

Journal of Modern Power Systems and Clean Energy

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With the increasing penetration of wind power, using wind turbines to participate in the frequency regulation to support power system has become a clear consensus. To accurately quantify the inertia provided by the doubly-fed induction generator (DFIG) based wind farm, the frequency response model of DFIG with additional frequency control is established, and then by using Routh approximation, the explicit expression of the virtual moment of inertia is derived for the DFIG gridconnected system. To further enhance the availability of the expression, an estimation method is proposed based on the matrix pencil method and the least squares algorithm for estimating the virtual moment of inertia provided by the wind farm. Finally, numerical results tested by a DFIG grid-connected system and a modified IEEE 30-bus system verify the derived expression of the virtual moment of inertia and the proposed estimation method.Index Terms--Doubly-fed induction generator (DFIG), additional frequency control, virtual moment of inertia, matrix pencil method, least squares algorithm.

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Optimal Placement and Sizing of Renewable Distributed Generation Using Hybrid Metaheuristic Algorithm

Cited by 86 publications

References 27 publications

Optimization of daily operation mode of photovoltic systems of enterprises

Optimization of daily operation mode of photovoltic systems of enterprises

Comprehensive Analytical Expressions for Assessing and Maximizing Technical Benefits of Photovoltaics to Distribution Systems

Virtual Inertia Estimation Method of DFIG-based Wind Farm with Additional Frequency Control

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