A multi-objective simulation–optimization approach for water resource planning of reservoir–river systems based on a coupled quantity–quality model

Babamiri, Omid; Marofi, Safar

doi:10.1007/s12665-021-09681-9

Cited by 26 publications

(10 citation statements)

References 27 publications

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“…The rapid expansion of the economic scale and the rapid expansion of the population have brought problems such as water and soil resources' shortage and ecological damage [ 24 ]. Babamiri and Marofi [ 25 ] analyzed the country as a whole. The results show that the problems of forest land loss and sustainable forest management are related to the number of state-owned public stops and the differences between developed and developing countries.…”

Section: Related Workmentioning

confidence: 99%

“…The results show that the problems of forest land loss and sustainable forest management are related to the number of state-owned public stops and the differences between developed and developing countries. This gap is also an important factor affecting the sustainable development of state-owned forests [ 25 ]. Vondolia et al [ 26 ] think that under the multitarget system, due to the problems of missed detection, clutter measurement, the emergence and extinction of targets, the simultaneous matching of motion models for multiple targets, and the unknown correspondence between multiple targets and measurements, all these will have a great impact on the performance of multitarget estimation [ 26 ].…”

Section: Related Workmentioning

confidence: 99%

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Adaptive Spatial Division-Guided Resource-Based Economic Transformation with Synergistic Resource, Economic, and Environmental Health

Yang

2022

Computational Intelligence and Neuroscience

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Relying on the advantages of its input factors, the resource-based economy has achieved rapid development. However, with the global emphasis on scientific development, various contradictions have sharply reduced the competitiveness of the resource-based economy. In the process of a new round of changes in the world economic pattern and the adjustment of China’s development strategy, most resource-based economies have begun to implement transformation actively or passively. Resource-based economy was mostly established and developed in the period of planned economy, which made great contributions to national construction and accomplished brilliant achievements in regional economic and social development. However, the development of natural resources always goes through stages of development, growth, maturity, and decline. Therefore, resource-based cities also have problems of rise, prosperity, and decline. From the perspective of adaptive space division, this paper analyzes and studies the teaching of the coordinated development of resource-based economy in the transformation of the resource-based economy and environment economy and puts forward the panel data model, logistic curve, and other algorithm models. After optimization, the collaborative development model is designed. Based on the analysis of the model, it is found that the error analysis of the model has improved by 77.3% and the average growth rate of transformation benefits is generally 56.8%.

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Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Adaptive Spatial Division-Guided Resource-Based Economic Transformation with Synergistic Resource, Economic, and Environmental Health

Yang

2022

Computational Intelligence and Neuroscience

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“…These characteristics determine that NEPS data is typical big data [ 13]. For example, with the LC application of RE PG units, distributed power sources and smart power equipment, hundreds of millions of terminal equipment power consumption data, wind speed, light intensity, temperature and other meteorological monitoring data in different regions and WP forecasting The large amount of historical data required has put forward higher requirements for automatic control of PS, cooperative interaction between source and load, and online analysis and decision-making [14][15]. Therefore, the SLI platform must be built on the basis of big data technology.…”

Section: Source-load Interactive Platformmentioning

confidence: 99%

Key Problems of Source-load Interaction in New Energy Power System Based on Multi-objective Optimization

2022

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In the face of the current global shortage of fossil energy, the greenhouse effect seriously affects the development of the world economy and people's health, countries are actively seeking new energy(NE) to replace fossil energy, in order to achieve sustainable economic development and curb the continuous warming of the global climate, which will dominate the future development. At the same time, the breakthrough of modern technology in comprehensive energy technology makes the urban power grid gradually change to electricity-based, and includes water, heat, gas and other multi-energy supply forms. The increase in the installed scale of renewable energy(RE) has brought many problems to the operation and scheduling of the power system(PS). The NEPS(NEPS) actively and fully accepts RE, and its power supply side contains a large number of intermittent and random fluctuations of RE power. The existing optimal dispatch strategies for PSs including RE that consider emissions do not fully consider source-load interaction(SLI), and ignore the deep peak regulation of units and the joint dispatch of user loads under the new situation. To this end, this paper analyzes the user-side characteristics of wind, solar and thermal power generation(PG) units through the multi-objective optimization(MOO) model of the cost of the NEPS, and simulates five dispatching scenarios on the source-load interactive platform. The PS is optimally dispatched to reduce the economic cost of the unit.

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“…However, the relationship between the water storage and the behaviour of reservoir regulation cannot be expressed (Jay & Joel, 1999). The New York City Rule and the Space Rule (Babamiri & Marofi, 2021) are methods of reducing the probability of a situation in which some reservoirs are discarded, while others are not fully integrated into the system during scheduling in the storage period. This allows the optimal or approximately optimal solution to be obtained in most cases.…”

Section: Introductionmentioning

confidence: 99%

Storage allocation rules to meet shared water demands for optimal operation of reservoir water supply

Wan

Wang

Xiao

et al. 2023

Irrigation and Drainage

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The priority principle of storage allocation rules of serial cascade reservoirs within an interbasin water supply can reduce water loss and reduce water supply times. Reasonable balancing curves for reservoirs in parallel are proposed, and the proportional distribution of water is determined to illustrate the optimal allocation rule for different reservoir scheduling periods. The mutation point and slope are used to describe the segmentation of reservoirs in parallel. Finally, the relative optimal water supply rule is obtained. Taking the reservoir groups in the lower reaches of the Luanhe River basin as the research object, the results show that the water supply obtained by the balancing curve is increased by approximately 4% compared with the compensation regulation, and wasted water is reduced by 10%. The results are close to the largest water supply, the annual average wasted water and the guarantee rate obtained by dynamic programming. The suggested method can achieve the operation goal effectively and improve the operation performance of the shared water demands for the reservoir water supply. This article highlights the superior results obtained compared with the current storage allocation rules to meet shared water demands.

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A multi-objective simulation–optimization approach for water resource planning of reservoir–river systems based on a coupled quantity–quality model

Cited by 26 publications

References 27 publications

Adaptive Spatial Division-Guided Resource-Based Economic Transformation with Synergistic Resource, Economic, and Environmental Health

Adaptive Spatial Division-Guided Resource-Based Economic Transformation with Synergistic Resource, Economic, and Environmental Health

Key Problems of Source-load Interaction in New Energy Power System Based on Multi-objective Optimization

Storage allocation rules to meet shared water demands for optimal operation of reservoir water supply

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