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Jiehong Kong

Research Scientist

Jiehong Kong

Research Scientist

Jiehong Kong
Phone: 980 05 136
Email:
Department: Energy Systems
Office: Trondheim

Publications and responsibilities

Publication
https://www.sintef.no/en/publications/publication/?pubid=1836726

This paper investigates and discusses the current and future role of machine learning (ML) within the hydropower sector. An overview of the main applications of ML in the field of hydropower operations is presented to show the most common topics that have been addressed in the scientific literature ...

Authors Chiara Bordin Hans Ivar Skjelbred Jiehong Kong Zhirong Yang
Year 2020
Type Academic article
Publication
https://www.sintef.no/en/publications/publication/?pubid=1732788

As power systems grow reliant on large-scale integration of renewable energy sources, pumped-storage power stations are being called on to provide greater adjustment capabilities. This study focuses on the stability and fast–slow dynamics of a pump-turbine governing system (PTGS). First, the time de...

Authors Gongcheng Liu Diyi Chen Huanhuan Li Jiusan Ye Hao Zhang Jinyang Liu Hans Ivar Skjelbred Jiehong Kong
Year 2019
Type Academic article
Publication
https://www.sintef.no/en/publications/publication/?pubid=1693531

The purpose of short-term hydropower scheduling (STHS) in a competitive electricity market is to maximize the profit in the near future while adapting to the mid-term strategies for system operation. To ensure a realistic and feasible operation for STHS, it is crucial to accurately represent the hyd...

Year 2019
Type Academic article
Publication
https://www.sintef.no/en/publications/publication/?pubid=1693536

In this paper we present in detail how to handle the nonlinear and state-dependent elements in the power consumption function (PCF) of a variable speed pump (VP). The function is formulated by piecewise linear approximations with dynamically specified breakpoints. In the proposed method, the head va...

Authors Jiehong Kong Hans Ivar Skjelbred Hubert Abgottspon
Year 2019
Type Academic article
Publication
https://www.sintef.no/en/publications/publication/?pubid=1673892

Ensuring the safe operation of hydropower stations is one of the key challenges for electric generation. Clearly the safe operation of such systems can only be archived with proper and effective maintenance scheduling. The objective of this study is to analyze, rank and prioritize the risk factors r...

Authors Beibei Xu Diyi Chen Huanhuan Li Keyun Zhuang Xiao Hu Jinwei Li Hans Ivar Skjelbred Jiehong Kong Edoardo Patelli
Year 2019
Type Academic article
Publication
https://www.sintef.no/en/publications/publication/?pubid=1727605

Optimization tools are widely used for solving the short-term hydro scheduling (STHS) problem in a cascaded hydro system. In a mixed integer linear programming (MILP)-based formulation, the nonlinear and non-convex hydropower production function (HPF) is represented by piecewise linear approximation...

Authors Hans Ivar Skjelbred Jiehong Kong Olav B Fosso
Year 2019
Type Academic article
Publication
https://www.sintef.no/en/publications/publication/?pubid=1727615

The short-term hydro scheduling (STHS) problem aims at determining the optimal power generation schedules for either a single hydropower plant or an integrated system of cascaded watercourses during a time horizon from a single day to one week. Traditionally, an aggregated plant concept is usually a...

Authors Jiehong Kong Hans Ivar Skjelbred Olav B Fosso
Year 2019
Type Academic article