scholarly journals Combined Dispatching of Hydropower and Wind Power Based on the Hedging Theory

Water ◽  
2021 ◽  
Vol 13 (9) ◽  
pp. 1319
Author(s):  
Kaoshe Zhang ◽  
Mengyan Xie ◽  
Gang Zhang ◽  
Tuo Xie ◽  
Xin Li ◽  
...  
Keyword(s):  
Decision Making ◽  
Water Resources ◽  
Water Level ◽  
Wind Power ◽  
Flood Control ◽  
Water Storage ◽  
Utilization Rate ◽  
Water Storage Capacity ◽  
Time Period ◽  
Control Risk

In order to improve the utilization rate of water resources in the flood season of the reservoir effectively and promote wind power consumption, this paper proposes an optimization model for the combined dispatching of wind power and hydropower based on the hedging theory. First, the conflicting relationship between the water storage benefits of hydropower stations, flood control risks, and the joint output of hydropower and wind power in joint dispatching is studied. The introduction of hedging theory divides the combined dispatching of wind power and hydropower into a two-stage dispatching problem including the decision-making stage and the remaining stage; Second, considering the uncertainty of water forecasting and wind power forecasting, a multi-objective optimal dispatching model of hydropower and wind power based on hedging theory is constructed. This model aims to minimize flood control risks, maximize water storage benefits, and minimize wind power and hydropower combined power output volatility. Finally, the non-dominated sorting genetic algorithm (NSGA2) is used to solve the specific examples. The results show that the model built in the article controls the flood control risk at each time period not to be higher than 1.63 × 10−3 (the flood control standard corresponding to the flood control risk in 50 years is 0.006). Additionally, the water level of the reservoir increased from the flood limit water level (583.00 m) to 583.70 m. It greatly increases the water storage capacity and effectively improves the utilization rate of water resources. At the same time, the optimized scheduling scheme reduced the peak-valley difference of joint output from 125.00 MW to 35.66 MW, and the peak-valley difference was greatly reduced. It effectively improves the volatility of wind power. The validity of the model is verified, and the obtained scheme can provide decision-making for the joint dispatch scheme of hydropower and wind power.

scholarly journals A hydrodynamic model coupled multiple scenarios for plain river network and its application

2018 ◽  
Vol 246 ◽  
pp. 01016
Author(s):  
Zhiqiang Zeng ◽  
Ji Liang ◽  
Mingxiang Yang ◽  
Zhaocai Zeng ◽  
Yu Lang
Keyword(s):  
Water Level ◽  
Flood Control ◽  
Water Storage ◽  
River Network ◽  
Runoff Simulation ◽  
Simulation Accuracy ◽  
Storage Effects ◽  
Storage Area ◽  
Multiple Scenarios ◽  
Flood Diversion

The plain river network is not only complex in shape but also contains many complex scenarios, such as interval inflow and outflow, hydraulic structures and water storage area, etc., which increases the difficulty of runoff simulation in plain river network. To address this problem, a hydrodynamic (HD) model coupled multiple scenarios that may occur in plain river network was proposed, which was used to simulate the runoff process of the plain river network. To illustrate the proposed model, Xi River was chosen as a study area. We designed some experiments for each scenario, and the experimental results show that simulation results have good consistency with the observation. It is worth noting that the simulation accuracy of the water level is always higher than the simulation accuracy of the flow. Moreover, the runoff simulation accuracy of runoff events with large runoff is relatively high. It turns out that HD model is suitable for runoff simulation of plain river network. In addition, we compared the flood diversion effects of water storage area and sluice, and the results show that the effect of water storage area is more obvious than sluice, and the flood diversion method combined with sluice and water storage area has better flood diversion effect. In conclusion, HD model is good at simulating floodplain storage effects, backwater and the change of water level and flow under the condition of engineering dispatching, which has important guiding significance for flood control in plain river network.

scholarly journals Evaluation method of rain–flood resource utilization availability and its application in the Hanjiang River Basin

2020 ◽  
Vol 20 (8) ◽  
pp. 3557-3575
Author(s):  
Pengxin Deng ◽  
Gaohong Xu ◽  
Jianping Bing ◽  
Changjiang Xu ◽  
Jianwei Jia
Keyword(s):  
Water Resources ◽  
River Basin ◽  
Flood Control ◽  
Evaluation Method ◽  
Utilization Rate ◽  
Water Shortages ◽  
The Status ◽  
Hanjiang River ◽  
Flood Resource Utilization ◽  
Threshold Range

Abstract Rain–flood utilization refers to transforming some amount of rain or floodwater into ordinary water resources without decreasing flood control standards or damaging the ecological environment of rivers, which has gained widespread attention as it can alleviate water shortages and gain benefits. This paper put forward the evaluation method of rain–flood utilization availability at the distributed watershed scale. Based on the water node, some indices of rain–flood utilization availability were defined. Then the evaluation method and calculation process were unified. Finally, the status and potential of the rain–flood utilization of Hanjiang River Basin were analyzed. The results indicated that the rain–flood resource in the whole basin is 48.9 billion m3, the outflow is 29.9 billion m3, and the actual utilization is about 19.0 billion m3. The current available rain–flood amount and rain–flood utilization potential are 27.7 billion m3 and 11.0 billion m3, and the rain–flood utilization rate is 49.4%. Limited by regulation ability and the rain–flood resources, current rain–flood utilization has a clear threshold range. The potential utilization objects are mainly for a rainfall process of about two to ten years return period. The application in Hanjiang River Basin offers some practical information for assessing rain–flood utilization scientifically, and the premise for effectively guiding and formulating adaptive countermeasures for water resources management.

scholarly journals Application of Marginal Rate of Transformation in Decision Making of Multi-Objective Reservoir Optimal Operation Scheme

2021 ◽  
Vol 13 (3) ◽  
pp. 1488
Author(s):  
Yueqiu Wu ◽  
Liping Wang ◽  
Yanke Zhang ◽  
Jiajie Wu ◽  
Qiumei Ma ◽  
...  
Keyword(s):  
Power Generation ◽  
Decision Making ◽  
Water Level ◽  
Level Scheme ◽  
Flood Control ◽  
Forecast Error ◽  
Optimal Operation ◽  
Total Power ◽  
Marginal Rate ◽  
Multi Objective

For reservoirs with combined storage capacity for flood control and beneficial purposes, there tends to be potential benefit loss when the flood control limited water level is used in medium and small floods. How to find the optimal water level scheme for profit-making and pursue the optimization of comprehensive benefits has always been a difficult problem in multi-objective reservoir optimal operation. Based on the principle of the maximum benefit obtained by the product conversion curve and the isorevenue line in microeconomics, taking flood control and power generation as two products of a reservoir, a multi-objective optimal operation scheme decision-making model is established to seek the highest water level scheme that can produce the maximum comprehensive benefits of flood control and power generation. A case study of the Three Gorges reservoir in the early flood season of a dry year shows that on the one hand, under the condition of deterministic inflow, the model can work out the optimal water level and the corresponding best equilibrium point for both flood control and power generation, and it can increase the total power output by 4.48% without reducing the flood control benefits; on the other hand, it can also obtain the dynamic control area of the maximum allowable water level for power generation considering inflow forecast error, which provides a theoretical reference for determining the starting water level in medium and small floods and utilizing flood resources.

Determining the Flood Control Level of Small Reservoirs with Fuzzy Decision by Stages

2013 ◽  
Vol 838-841 ◽  
pp. 1753-1758
Author(s):  
Zhi Qi Liu ◽  
Jin Xi Lu ◽  
Jian Jiao ◽  
Qing Zhang
Keyword(s):  
Water Resources ◽  
Water Level ◽  
Flood Control ◽  
Control Level ◽  
Economic Benefits ◽  
Fuzzy Decision ◽  
Small Reservoir ◽  
Flood Season ◽  
Precipitation Characteristics ◽  
Average Annual Precipitation

The limited water level of reservoir by stage, fully consider the seasonal variations of the average annual precipitation characteristics in every reservoirs control catchment. Its not only ensuring the rational use of water resources, increasing economic and social benefits to the reservoir, but also ensuring the safety of flood control reservoir flood season, to protect people's lives and property. Determine flood limit level for small reservoir by installments should consider the balance between the economic benefits from improving the water level and the consumption of human and financial resources caused by the installments flood water level adjustment. At the same time, the water resources should be intelligent used in order to let the level of reservoir get in normal. This paper, according to the characteristics of small reservoir, calculated on the reservoir storage capacity can be increased basis of the existing flood control capacity through calculating the value of membership function during reservoir flood season. So that the new limited water level can be obtained after calculating the reservoir capacity increase according to the capacity-water level graph.

scholarly journals Water management in Pakistan's Indus Basin: challenges and opportunities

Water Policy ◽  
2021 ◽  
Author(s):  
Shahmir Janjua ◽  
Ishtiaq Hassan ◽  
Shoaib Muhammad ◽  
Saira Ahmed ◽  
Muhammad Afzaal
Keyword(s):  
Surface Water ◽  
Water Resources ◽  
Storage Capacity ◽  
Water Storage ◽  
River System ◽  
Water Shortage ◽  
Indus Basin ◽  
Irrigated Agriculture ◽  
Indus River ◽  
Water Storage Capacity

Abstract The Indus River System is a major source of life in Pakistan. A vast array of Pakistan's agricultural and domestic consumption needs are critically dependent on the Indus River System. The Indus River contributes towards 25% of the country's gross domestic product, providing water for almost 90% of the food production in Pakistan. Linked to the water security issues, Pakistan is potentially at risk of facing a severe food shortage in the near future. The World Bank report of 2020–2021 estimates that the water shortage will increase to 32% by 2025, which will result in a food shortage of almost 70 million tons. Water shortage could also result in confrontation between the provinces as river sharing has always been a source of problem for Pakistan. According to recent estimates, siltation and climate change will reduce the water storage capacity by 2025 to almost 30%. As for the per capita water storage capacity in Pakistan, it is about 150 m3, which is quite meagre in comparison with that in other countries. Irrigated agriculture will soon be adversely affected due to the reduced surface water supplies and the consequent increase in groundwater abstraction. To make matters worse, over the past decades, a great deal of distrust has developed among the provinces of Pakistan regarding the water distribution issue, and the successive federal governments have failed to formulate a cohesive inter-provincial National Water Policy. Along with the shortages and increasing demand for water, administrative corruption also plagues the water sector and is quite common. The beneficiaries of this water reallocation system are not only the rural elite, for example the large and politically influential landlords, but also the small and medium capitalist farmers. If not properly addressed, these complications of decreasing water resources could result in serious political and economic hostility among the provinces. If it wants to harness its potential to increase storage capacity, Pakistan must improve its water-use efficiency and manage its groundwater and surface water resources in a sustainable way. Strengthening the institutions and removing mistrust among the provinces are the key elements for maintaining a sustainable irrigated agriculture in the Indus Basin.

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