Application of Data-Driven Tuned Fuzzy Inference System for Static Equivalencing of Power Systems with High Penetration of Renewable Energy

Author:

Hailu Engidaw Abel1ORCID,Nyakoe George Nyauma2ORCID,Muriithi Christopher Maina3ORCID

Affiliation:

1. Pan African University Institute for Basic Sciences Technology and Innovation (PAUSTI), Juja, Kenya

2. Jomo Kenyatta University of Agriculture and Technology (JKUAT), Juja, Kenya

3. Murang’a University of Technology (MUT), Murang’a, Kenya

Abstract

To reduce the complexity of multiarea power systems during power flow study and security assessment, equivalencing of external power systems is essential. In this paper, external power systems are modeled as adaptive loads representing the tie-line flows varying with system operating conditions. The fuzzy inference system tuned by hybrid genetic-simulated annealing (HGSA-FIS) is proposed to predict the active and reactive power of adaptive loads from forecasted renewable energy (RE) generation and loads demand. The performance of proposed equivalent has been evaluated with an RTS-GMLC by comparing the power flow results in the internal system before and after equivalencing under varying RE and load demand scenarios. The results demonstrate the robustness of HGSA-FIS-based equivalent under varying RE generation and load demand. Furthermore, the proposed equivalent performs close to ANN-based equivalent and outperforms ANFIS-based equivalent. To practically implement the proposed approach, the neighboring system operators are required to exchange only the forecast data of RE generation and load demand, and the equivalent needs to be updated upon major grid changes.

Funder

Pan African University Institute for Basic Sciences, Technology and Innovation (PAUSTI), Kenya

Publisher

Hindawi Limited

Subject

Electrical and Electronic Engineering,General Computer Science,Signal Processing

Reference65 articles.

1. Alizadeh MousaviO.On Voltage and Frequency Control in Multi-Area Power Systems Security2014EPFLPh.D. dissertation Switzerland

2. Hug-GlazmannG.Coordinated Power Flow Control to Enhance Steady-State Security in Power Systems2008ETH ZurichSwitzerland Ph.D. dissertation

3. A new particle swarm optimization‐based methodology for determining online static security regions

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