Probabilistic Reliability Enhancement Strategies of Hydro Dominant Power Systems under Energy Uncertainty

Author:

Fang Fang,Karki RajeshORCID,Piya PrasannaORCID

Abstract

Climatic hydrological changes cause considerable seasonal and yearly energy variation in hydro dominant electric power systems. Extreme weather events are becoming more frequent in recent years causing dramatic impacts on energy availability in such systems. A significant amount of energy is often wasted due to reservoir overflow during wet seasons. By contrast, the scarcity of water in dry seasons results in inadequate power generation to meet the system demand, and therefore degrades overall system reliability. The high risks associated with an extreme dry hydrological condition should not be ignored in long term system adequacy planning of hydro dominant utilities. This paper presents a probabilistic method to incorporate diurnal, seasonal and yearly energy management strategies in run-of-river and storage type hydropower plant planning and operation in order to minimize the adverse impact of energy uncertainty and maintain long-term system adequacy. The impacts of reservoir capacity and demand side management on water utilization and system reliability are investigated with case studies illustrated using the IEEE Reliability Test System modified to create a hydro dominant system. The achieved benefits of reliability enhancement strategies are analyzed and compared in this paper.

Funder

Natural Sciences and Engineering Research Council of Canada

Publisher

MDPI AG

Subject

Management, Monitoring, Policy and Law,Renewable Energy, Sustainability and the Environment,Geography, Planning and Development

Reference22 articles.

1. 2019 Hydropower Status Reporthttps://www.hydropower.org/sites/default/files/publications-docs/2019_hydropower_status_report_0.pdf

2. Facts 2017https://canadahydro.ca/facts/

3. Energy Production and Climate Resilience Strategies: Hydropower,2013

4. Modelling uncertainty in reliability growth planning for continuous-use systems utilising disparate source data

5. Long‐term reliability evaluation for small hydro‐power generations based on flow runoff theory

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