A Novel Protection Scheme for Solar Photovoltaic Generator Connected Networks Using Hybrid Harmony Search Algorithm-Bollinger Bands Approach

Rajput, Vipul N.; Pandya, Kartik S.; Hong, Jihyung; Geem, Zong Woo

doi:10.3390/en13102439

Cited by 14 publications

(16 citation statements)

References 47 publications

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“…The parameters TDS and PS must respect the minimum values TDSmin and PSmin and the maximum values TDSmax and PSmax. The limits of TDS are generally 0.1 and 1.1 s [24]. The limits of PS are calculated using (8) and (9), where ILmax is the maximal load current and IFmin is the minimal fault current [5].…”

Section: Problem Formulationmentioning

confidence: 99%

Comparative study of optimization methods for optimal coordination of directional overcurrent relays with distributed generators

Idrissi

Haidi²,

Elmariami³

et al. 2023

IJ-AI

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<span lang="EN-US">Due to the growing penetration of distributed generators (DGs), that are based on renewable energy, into the distribution network, it is necessary to address the coordination of directional overcurrent relays (DOCR) in the presence of these generators. This problem has been solved by many metaheuristic optimization techniques to obtain the optimal relay parameters and to have an optimal coordination of the protection relays by considering the coordination constraints. In this article, a comparative study of the optimization techniques proposed in the literature addresses the optimal coordination problem using digital DOCRs with standard properties according to IEC60-255. For this purpose, the three most efficient and robust optimization techniques, which are particle swarm optimization (PSO), genetic algorithm (GA) and differential evolution (DE), are considered. Simulations were performed using MATLAB R2021a by applying the optimization methods to an interconnected 9-bus and 15-bus power distribution systems. The obtained simulation results show that, in case of distributed generation, the best optimization method to solve the relay protection coordination problem is the differential evolution DE. </span>

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Section: Problem Formulationmentioning

confidence: 99%

Comparative study of optimization methods for optimal coordination of directional overcurrent relays with distributed generators

Idrissi

Haidi²,

Elmariami³

et al. 2023

IJ-AI

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“…According to the literature, the Pbands technical indicator was not used for demand forecasting based on Google Trends. However, recent research on monitoring a multi-array photovoltaic system (Vergura, 2020) and the optimal coordination of a new protection system for solar photovoltaic generators (Rajput, 2020) have used Bollinger bands. Pbands and Bollinger bands are usually used in forecasting securities, forex, and other financial market instruments (Kolková, 2016).…”

Section: Alternative Approach: Forecasting Based On Technical Analysismentioning

confidence: 99%

Demand forecasting: an alternative approach based on technical indicator Pbands

Kolková

Ključnikov

2021

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Research background: Demand forecasting helps companies to anticipate purchases and plan the delivery or production. In order to face this complex problem, many statistical methods, artificial intelligence-based methods, and hybrid methods are currently being developed. However, all these methods have similar problematic issues, including the complexity, long computing time, and the need for high computing performance of the IT infrastructure. Purpose of the article: This study aims to verify and evaluate the possibility of using Google Trends data for poetry book demand forecasting and compare the results of the application of the statistical methods, neural networks, and a hybrid model versus the alternative possibility of using technical analysis methods to achieve immediate and accessible forecasting. Specifically, it aims to verify the possibility of immediate demand forecasting based on an alternative approach using Pbands technical indicator for poetry books in the European Quartet countries. Methods: The study performs the demand forecasting based on the technical analysis of the Google Trends data search in case of the keyword poetry in the European Quartet countries by several statistical methods, including the commonly used ETS statistical methods, ARIMA method, ARFIMA method, BATS method based on the combination of the Cox-Box transformation model and ARMA, artificial neural networks, the Theta model, a hybrid model, and an alternative approach of forecasting using Pbands indicator. The study uses MAPE and RMSE approaches to measure the accuracy. Findings & value added: Although most currently available demand prediction models are either slow or complex, the entrepreneurial practice requires fast, simple, and accurate ones. The study results show that the alternative Pbands approach is easily applicable and can predict short-term demand changes. Due to its simplicity, the Pbands method is suitable and convenient to monitor short-term data describing the demand. Demand prediction methods based on technical indicators represent a new approach for demand forecasting. The application of these technical indicators could be a further forecasting models research direction. The future of theoretical research in forecasting should be devoted mainly to simplifying and speeding up. Creating an automated model based on primary data parameters and easily interpretable results is a challenge for further research.

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“…As considering a number of available TPs (NTPs) providing electricity to loads, total cost (TC) of all TPs is an objective function that needs to be minimized as shown in (2) [27]…”

Section: Optimal Load Dispatch Problem Description 21 Electric Generation Cost and Objectivementioning

confidence: 99%

Minimize electricity generation cost for large scale wind- thermal systems considering prohibited operating zone and power reserve constraints

Vinh

Dinh

Phan

et al. 2021

IJECE

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Wind power plants (WPs) play a very important role in the power systems because thermal power plants (TPs) suffers from shortcomings of expensive cost and limited fossil fuels. As compared to other renewable energies, WPs are more effective because it can produce electricity all a day from the morning to the evening. Consequently, this paper integrates the optimal power generation of TPs and WPs to absolutely exploit the energy from WPs and reduce the total electricity generation cost of TPs. The target can be reached by employing a proposed method, called one evaluation-based cuckoo search algorithm (OEB-CSA), which is developed from cuckoo search algorithm (CSA). In addition, conventional particle swarm optimization (PSO) is also implemented for comparison. Two test systems with thirty TPs considering prohibited working zone and power reserve constraints are employed. The first system has one wind power plant (WP) while the second one has two WPs. The result comparisons indicate that OEB-CSA can be the best method for the combined systems with WPs and TPs.

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A Novel Protection Scheme for Solar Photovoltaic Generator Connected Networks Using Hybrid Harmony Search Algorithm-Bollinger Bands Approach

Cited by 14 publications

References 47 publications

Comparative study of optimization methods for optimal coordination of directional overcurrent relays with distributed generators

Comparative study of optimization methods for optimal coordination of directional overcurrent relays with distributed generators

Demand forecasting: an alternative approach based on technical indicator Pbands

Minimize electricity generation cost for large scale wind- thermal systems considering prohibited operating zone and power reserve constraints

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