인공신경망에 기반한 전력시장에서의 균형가격과 혼잡현상 해석

다국어 초록 (Multilingual Abstract)

This paper proposes an application of artificial neural networks for analyzing electricity market that has insufficient information for calculating equilibrium. Neural networks are constructed and trained on two representative cases in the electricity market. One is for calculating equilibrium price in perfect competition market and the other is for determining whether the transmission congestion occurs. The neural network uses a multilayer structure and learns with backpropagation algorithms for training. The neural networks trained in the case studies calculate the market price with a high probability and also determines an occurrence of the transmission congestion accurately.

목차 (Table of Contents)

• Abstract
• 1. 서론
• 2. 전력시장의 균형가격
• 3. 송전선 혼잡시의 균형상태
• 4. 결론
• References

참고문헌 (Reference)

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2 정희명, "오차보정알고리즘을 고려한 방사기저함수 신경망의 일별 최대전력수요예측 적용에 관한 연구" 대한전기학회 68 (68): 221-227, 2019

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