Optimal Estimation of Capacity and Location of Wind, Solar and Fuel Cell Sources in Distribution Systems Considering Load Changes by Lightning Search Algorithm

Shokouhandeh, Hassan; Ghaharpour, MahmoodReza; Lamouki, Hamid Ghobadi; Pashakolaei, Yaser Rahmani; Rahmani, Fatemeh; Imani, Mahmood Hosseini

doi:10.1109/tpec48276.2020.9042550

Cited by 13 publications

(10 citation statements)

References 12 publications

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“…); (3) Forecasting problems for the technical state of heat and power equipment (shortterm and long-term forecasts of the mode parameters [10,11], planning of repair and maintenance work, development of a strategy for equipment service [12], etc. ); (4) Multicriteria control problems, including emergency control from the point of view of reliability [13], optimization of technical indicators of energy sources depending on their location [14], a hybrid approach for correcting a certain combination of various characteristics [15], and so forth.…”

Section: Introductionmentioning

confidence: 99%

Integral Equations Related to Volterra Series and Inverse Problems: Elements of Theory and Applications in Heat Power Engineering

Solodusha

Bulatov

2021

Mathematics

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The paper considers two types of Volterra integral equations of the first kind, arising in the study of inverse problems of the dynamics of controlled heat power systems. The main focus of the work is aimed at studying the specifics of the classes of Volterra equations of the first kind that arise when describing nonlinear dynamics using the apparatus of Volterra integro-power series. The subject area of the research is represented by a simulation model of a heat exchange unit element, which describes the change in enthalpy with arbitrary changes in fluid flow and heat supply. The numerical results of solving the problem of identification of transient characteristics are presented. They illustrate the fundamental importance of practical recommendations based on sufficient conditions for the solvability of linear multidimensional Volterra equations of the first kind. A new class of nonlinear systems of integro-algebraic equations of the first kind, related to the problem of automatic control of technical objects with vector inputs and outputs, is distinguished. For such systems, sufficient conditions are given for the existence of a unique, sufficiently smooth solution. A review of the literature on these problem types is given.

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Section: Introductionmentioning

confidence: 99%

Integral Equations Related to Volterra Series and Inverse Problems: Elements of Theory and Applications in Heat Power Engineering

Solodusha

Bulatov

2021

Mathematics

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“…Today, the quality of electricity has become very important. This importance can be attributed to reasons such as the greater sensitivity of industrial loads, increased linear loads, increased use of small power plants and, most importantly, increased costs due to its absence [1][2][3][4]. Lack of power quality imposes a lot of costs on consumers, large and small, every year due to their load to voltage sensitivity.…”

Section: Introductionmentioning

confidence: 99%

Detecting and Locating Power Quality Issues by Implementing Wavelet Transform

Asadi¹,

Harikandeh²,

Hamzenia³

2021

IJSEA

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Lack of power quality imposes many costs on large and small consumers every year. Therefore, considering the importance of power quality in today's industries, this article examines the issue of detection and location of various power quality issues. DWT discrete wavelet transform is investigated in this paper. The signals under the perturbations are written to the field and the start and end times of the perturbation are obtained and compared with the real time, and the accuracy of the measurements is confirmed by repetitions.

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“…In [34], the optimal placement of wind turbines in the distribution network is proposed using Cuckoo Search Algorithm (CSA) in a single-objective optimization with the goal of reducing power losses. In [35,36], the locating of wind turbines and solar panels is proposed to reduce power losses and improve voltage stability using PSO algorithm based on multi-objective optimization and weight coefficient method.…”

Section: Introductionmentioning

confidence: 99%

Multi-Objective TLBO and GWO-based Optimization for Placement of Renewable Energy Resources in Distribution System

KC¹,

Alkhwaildi²

2021

CRPASE

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The use of renewable solar and wind resources as distributed generation sources in distribution networks has been welcomed by network operators. In order to exploit the maximum benefits of using these distributed products, the location of installation and their capacity should be determined optimally in the distribution network. In this paper, in order to optimize the placement of solar panels and wind turbines in the distribution network with the aim of reducing losses and improving reliability based on Energy Not Supplied subscribers (ENS), a multi-objective evolutionary algorithm based on fuzzy decision method, called the Multi-Objective Hybrid Training Learning Based Optimization-Grey Wolf Optimizer (MOHTLBOGWO) proposed that has a High optimization speed and not trapped at all in the optimal local. At first, the candidate buses are set for the installation of renewable resources using the Loss Sensitivity Factor (LSF). Then the proposed method is used to determine the location and optimal capacity of renewable resources through the candidate bases. Proposed issues have been implemented in a single-objective and multiobjective manner on a 33 bus IEEE radial distribution network. Also, in this paper, the effect of distributing renewable resources on the characteristics of the distribution network is evaluated. The results obtained from the proposed algorithm are compared with the results of other algorithms to demonstrate the superiority of the proposed method in reducing losses, improving reliability, and increasing the financial profit of the network. Simulation results show the better performance of the proposed method in comparison with Teaching-Learning Based Optimization (TLBO) and Grey Wolf Optimiser (GWO) methods and past studies to achieve optimal results. Also, the results show that distributing of the capacity and location of distributed renewable generation leads to a further reduction in losses and a better improvement of the reliability criterion.

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Optimal Estimation of Capacity and Location of Wind, Solar and Fuel Cell Sources in Distribution Systems Considering Load Changes by Lightning Search Algorithm

Cited by 13 publications

References 12 publications

Integral Equations Related to Volterra Series and Inverse Problems: Elements of Theory and Applications in Heat Power Engineering

Integral Equations Related to Volterra Series and Inverse Problems: Elements of Theory and Applications in Heat Power Engineering

Detecting and Locating Power Quality Issues by Implementing Wavelet Transform

Multi-Objective TLBO and GWO-based Optimization for Placement of Renewable Energy Resources in Distribution System

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