Distribution Network Expansion Planning Considering DG - Penetration Limit Using a Metaheuristic Optimization Technique: A Case Study at Debre Markos Distribution Network

Awoke, Yayehyirad Ayalew; Agajie, Takele Ferede; Hailu, Engidaw Abel

doi:10.15676/ijeei.2020.12.2.10

Cited by 2 publications

(3 citation statements)

References 8 publications

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“…In Equation (11), R indicates the conductance,  indicates the node voltage phase, , xy indicates two adjacent nodes,  indicates the sum of the total number of distribution network branches, and l indicates one of the distribution network branches. The results of the application tests are shown in Tables 1-4 When the permeability is 5%, the network loss of the active line of this design method and other methods are 136.64kW, 143.27kW, 141.86kW, and 145.86kW respectively.…”

Section: Analysis Of Resultsmentioning

confidence: 99%

“…According to the correlation model, predict the power load of the distribution network expansion planning area, and design the final implementation plan according to the actual planning objectives [11][12]. The characteristics of grid-connected operation between distributed power sources and the distribution network include the following aspects, as shown in Figure 1 As can be seen from Figure 1, the characteristics of grid-connected operation between distributed power sources and the distribution network can be summarized in four main categories: changes in network line losses, changes in relay protection structures, changes in power quality, and changes in reliability and safety.…”

Section: Extraction Of Grid-connected Operating Characteristicsmentioning

confidence: 99%

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An approach to planning the extension of distributed power supplies to the distribution network, taking into account uncertainty

Lin

2022

J. Phys.: Conf. Ser.

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At present, there is a problem of high active line network loss in the distribution network expansion planning method for distributed power supply access, and a distributed power supply access distribution network expansion planning method that accounts for uncertainty is designed to improve this phenomenon. According to the coverage of the electricity consumers’ sites, the available supply capacity of the distributed power sources is evaluated, the wind speed is discounted by the hub height of the wind turbines, the uncertainty is taken into account to build a correlation model, the number of nodes in the grid is fully considered, the grid operation characteristics are extracted, the voltage of the nodes along the line is simplified and the distribution network expansion planning model is optimized. Test results: The method designed here has the lowest average active line network loss of 112.58 kW, which is 10.83 kW, 10.3 kW and 12.85 kW less than the other three methods respectively, indicating that the method designed here performs better with full consideration of the uncertainties.

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Section: Analysis Of Resultsmentioning

confidence: 99%

Section: Extraction Of Grid-connected Operating Characteristicsmentioning

confidence: 99%

An approach to planning the extension of distributed power supplies to the distribution network, taking into account uncertainty

Lin

2022

J. Phys.: Conf. Ser.

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“…Traditional statistical analysis methods can no longer meet the information processing needs of demand forecasting. erefore, absorbing new data processing methods has become a requirement for demand forecasting [6][7][8][9][10].…”

Section: Introductionmentioning

confidence: 99%

Forecasting of Musical Equipment Demand Based on a Deep Neural Network

Zhang

2022

Mobile Information Systems

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With the popularity of music, the music equipment market has ushered in a new round of explosion. But at the same time, the market environment is changing rapidly, and music equipment companies are greatly affected by market changes. This type of enterprise has a wide variety of products, fast update, short delivery time and urgent time, which is a severe challenge to its production and operation. In this environment, in order to quickly respond to changes in the market environment, and to formulate plans for corporate procurement, production, and sales in an orderly manner, music equipment companies must make accurate predictions of market demand. At present, the extended research based on LSTM is a relatively mainstream deep neural network in the research methods of time series problems. This article is based on LSTM model to conduct an in-depth study on the prediction of music equipment demand. In order to solve the problems of overfitting, disappearance of gradient, model collapse and other problems in previous experimental studies, this paper proposes an improved LSTM prediction model. In terms of model structure selection, Dropout mechanism is used, and L2 regular term is introduced. In the selection of the activation function, MReLU function is proposed, which can improve the prediction effect of the model and enhance the applicability of the model. To measure the prediction effect of the improved LSTM model established in this paper, this paper selects RMSE and MAE as evaluation indicators, and compares experiments with other mainstream prediction models. The research results show that the improved LSTM network prediction model is superior to other models in the prediction of music equipment demand, which verifies the effectiveness.

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Distribution Network Expansion Planning Considering DG - Penetration Limit Using a Metaheuristic Optimization Technique: A Case Study at Debre Markos Distribution Network

Cited by 2 publications

References 8 publications

An approach to planning the extension of distributed power supplies to the distribution network, taking into account uncertainty

An approach to planning the extension of distributed power supplies to the distribution network, taking into account uncertainty

Forecasting of Musical Equipment Demand Based on a Deep Neural Network

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