Experimental ecological scheduling study on cascade hydropower station considering both fish spawning and hydropower generation

This paper focuses on the stability problems in a hydropower station. To enable this study, we consider a nonlinear hydropower generation system for the load rejection transient process based on an existing hydropower station. Herein we identify four critical variables of the generation system. Then, we carry out the dynamic safety assessment based on the Fisher discriminant method. The dynamic safety level of the system is determined, and the evolution behavior in the transient process is also performed. The result demonstrates that the hydropower generation system in this study case can operate safely, which is in a good agreement with the corresponding theory and actual engineering. Thus, the framework of dynamic safety assessment aiming at transient processes will not only provide the guidance for safe operation, but also supply the design standard for hydropower stations.

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Short-Term Optimal Operation of Baluchaung II Hydropower Plant in Myanmar

Water ◽

10.3390/w12020504 ◽

2020 ◽

Vol 12 (2) ◽

pp. 504

Author(s):

Jiqing Li ◽

May Myat Moe Saw ◽

Siyu Chen ◽

Hongjie Yu

Keyword(s):

Flow Distribution ◽

Optimal Operation ◽

Hydropower Plant ◽

Hydropower Station ◽

Hydropower Generation ◽

Short Term ◽

Run Off ◽

Optimal Load ◽

Resultant Data ◽

Actual Operation

The short-term optimal operation model discussed in this paper uses the 2016 to 2018 daily and monthly data of Baluchaung II hydropower station to optimize power generation by minimizing water consumption effectively in order to get more revenue from optimal operation. In the first stage, run-off-river type Baluchaung II hydropower station data was applied in a mathematical model of equal micro-increment rate method for optimal hydropower generation flow distribution unit results. In the second stage, dynamic programming was used to get optimal hydropower generation unit distribution results. The resultant data indicated that optimized results can effectively guide the actual operation run of this power station. The purpose of the optimal load dispatching unit was to consider the optimal power of each unit for financial profit and numerical programming on the actual data of Baluchaung II hydropower plant to confirm that our methods are able to find good optimal solutions which satisfy the objective values of 17.75% in flow distribution units and 24.16% in load distribution units.

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Maximizing both the firm power and power generation of hydropower station considering the ecological requirement in fish spawning season

Energy Strategy Reviews ◽

10.1016/j.esr.2020.100496 ◽

2020 ◽

Vol 30 ◽

pp. 100496

Author(s):

Fang-Fang Li ◽

Hong-Ru Wang ◽

Zhi-Gang Wu ◽

Jun Qiu

Keyword(s):

Power Generation ◽

Spawning Season ◽

Hydropower Station ◽

Ecological Requirement ◽

Fish Spawning ◽

Firm Power

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Recovery Degree of the Natural Flow Regimes and the Corresponding Economic Costs for Reservoir Operation in Fish Spawning Seasons

International Journal of Environmental Research and Public Health ◽

10.3390/ijerph16101699 ◽

2019 ◽

Vol 16 (10) ◽

pp. 1699

Author(s):

Cong-Min Liu ◽

Jun Qiu ◽

Fang-Fang Li

Keyword(s):

Reservoir Operation ◽

Economic Benefit ◽

Large Scale ◽

Yellow River ◽

Flow Regimes ◽

Hydropower Generation ◽

Flow Process ◽

Natural Flow ◽

Fish Spawning ◽

Natural Flow Regimes

The construction of large-scale reservoirs alters the natural flow process downstream and inevitably affects the aquatic organism. Current studies have verified that flow regimes play an important role in fish spawning stimulus. Recovery of the flow regimes may be incompatible with the economic benefit, mainly referring to hydropower generation. In this study, multiple models are established to study the relationship between the recovery degree of the natural flow regimes and the cost of the hydropower generation in spawning season for different hydrological years. The flow regimes are first quantitatively described by three characteristic parameters including the number of floods, the average duration of each flood, and the daily increment of the natural flow. The model for ecological operation needs to approach these characteristics as close as possible, while the model for economic benefit is set to generate power as much as possible. The ecological flow constraint is also considered to shape the flow process pattern. The proposed methodology is applied on the upper reaches of the Yellow River, where a large-scale reservoir is under planning. Different schemes are compared for different hydrological years to answer the question that to what extent can we recover the flow regime by reservoir operation, and how much the corresponding economic cost is.

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Water, energy and agricultural landuse trends at Shiroro hydropower station and environs

Proceedings of the International Association of Hydrological Sciences ◽

10.5194/piahs-376-35-2018 ◽

2018 ◽

Vol 376 ◽

pp. 35-43

Author(s):

Olubunmi Adegun ◽

Olalekan Ajayi ◽

Gbolahan Badru ◽

Shakirudeen Odunuga

Keyword(s):

Power Generation ◽

Food Security ◽

Water Footprint ◽

Kendall Test ◽

High Water ◽

Hydropower Station ◽

Hydropower Generation ◽

Reservoir Performance ◽

Detection Analysis ◽

Slope Estimator

Abstract. The study examines the interplay among water resources, hydropower generation and agricultural landuse at the Shiroro hydropower station and its environs, in north-central Nigeria. Non-parametric trend analysis, hydropower footprint estimation, reservoir performance analysis, change detection analysis, and inferential statistics were combined to study the water-energy and food security nexus. Results of Mann–Kendall test and Sen's slope estimator for the period 1960 to 2013 showed a declining rainfall trend at Jos, around River Kaduna headwaters at −2.6 mm yr−1, while rainfall at Kaduna and Minna upstream and downstream of the reservoir respectively showed no trend. Estimates of hydropower footprint varied between 130.4 and 704.1 m3 GJ−1 between 1995 and 2013. Power generation reliability and resilience of the reservoir was 31.6 and 38.5 % respectively with year 2011 being the most vulnerable and least satisfactory. In addition to poor reliability and resilience indices, other challenges militating against good performance of hydropower generation includes population growth and climate change issues as exemplified in the downward trend observed at the headwaters. Water inflow and power generation shows a weak positive relationship with correlation coefficient (r) of 0.48, indicating less than optimal power generation. Total area of land cultivated increased from 884.59 km2 in 1986 prior to the commissioning of the hydropower station to 1730.83 km2 in 2016 which signifies an increased contribution of the dam to ensuring food security. The reality of reducing upstream rainfall amount coupled with high water footprint of electricity from the reservoir, therefore requires that a long term roadmap to improve operational coordination and management have to be put in place.

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