Geometric Parameterization Technique for Continuation Power Flow Based on Quadratic Curve

Abstract

CONTENTS 1. Introduction 2. Continuation Power Flow and Proposed Method 3. Test Results 4. Conclusion Funding References

Estimation of Total Real and Reactive Power Losses in Electrical Power Systems via Artificial Neural Network

“…The values corresponding to CP (critical point) for each system studied and the error between the obtained value in relation to the desired are detailed in Table 2. Tables 3-5 display the values of the weights of the connections between the input and hidden layers, between the hidden layer and the output layer, as well as the corresponding bias values of the hidden and output layers, for the neural network with the configuration [2,3,10]. Figures 6b, 8b, and 10b depict the validation phase of the model via ANN.…”

“…For the IEEE 14-bus system, 213 samples were utilized, while for the IEEE 30-bus system, 184 samples were used, and for the IEEE 57-bus system, 202 samples were employed, resulting in a total of 599 samples. These samples were acquired according to the parameterization continuation power flow (PCPF) method described in [2,11] and were used for training and validation of ANN. Each sample is composed of five pieces of data: three input data for the ANN, which include the loading factor (λ) and the real and reactive powers generated at the slack bus (P g slack and Q g slack ), and two output data representing the loss total real (Pa) and reactive (Pr) power of the system.…”

“…Figure 3 illustrates the flowchart of the MLP network used to estimate the total real (Pa) and reactive (Pr) power losses of electrical power systems. The activation functions used were the hyperbolic tangent for the hidden layer (1) and linear for the output layer (2).…”

“…The volume of losses in transmission and distribution systems is significant, typically ranging between 3% and 13%, highlighting their relevance to the efficiency of the system as a whole [1]. The analysis of electrical power systems often uses load flow calculation, a fundamental and widely used approach [2][3][4]. Many applications, from expansion planning to network reconfiguration and storage capacity, depend on these calculations [5][6][7].…”

Parametrização para o Fluxo de Potência Continuado: Diferentes Métodos de Previsão e Correção via Injeção de Corrente

“…O grande número de trabalhos relacionados ao desenvolvimento do fluxo de potência publicados nas últimas décadas demonstra sua importância para o planejamento e análise de operação de sistemas elétricos de potência (Ajjarapu, 2010), (Kamel et al 2013), (Gómez-Expósito et al 2015), (Kamel et al 2016), (Oliveira et al 2017), (Bonini Neto et al 2018) e (Karimi et al 2019). A convergência rápida é uma das características desejadas para aplicação em análise de contingência e determinação da margem de carregamento, que demandam alto tempo computacional, dado ao grande número de casos a serem processados e analisados nesses estudos, principalmente para operação em tempo real (Matarucco et al 2014), (Yuan e Li, 2015) e (Wu et al 2017).…”