China’s Booming Hydropower: Systems Modeling Challenges and Opportunities

Cheng, Chuntian; Yan, Lingzhi; Mirchi, Ali; Madani, Kaveh

doi:10.1061/(asce)wr.1943-5452.0000723

Cited by 58 publications

(19 citation statements)

References 28 publications

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“…This resulted in an increase of 106.93 million yuan for the total income, although the power generation was less, compared with the conventional model. (5) The robustness analysis showed that the proposed model could better adapt to different price scenarios in the future, even in the adverse scenario, with a serious deviation in the price prediction. This enhanced profitability and robustness for the generation scheduling.…”

Section: Discussionmentioning

confidence: 97%

“…They not only have to supply the load for the local provincial market, but also need to deliver electricity to the central and eastern load centers in the external market [5], which has a direct impact on the supply and demand balance of the two markets and, as a result, the electricity prices of the two markets are closely correlated. Under such circumstances, optimizing the generation scheduling for cascades in different markets, improving the overall benefits, and coping with the market risks is a practical problem to be solved by the hydropower enterprises.…”

Section: Introductionmentioning

confidence: 99%

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Long-Term Generation Scheduling for Cascade Hydropower Plants Considering Price Correlation between Multiple Markets

Luo

Miao²,

Cheng

et al. 2019

Energies

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The large-scale cascade hydropower plants in southwestern China now challenge a multi-market environment in the new round of electricity market reform. They not only have to supply the load for the local provincial market, but also need to deliver electricity to the central and eastern load centers in external markets, which makes the generation scheduling much more complicated, with a correlated uncertain market environment. Considering the uncertainty of prices and correlation between multiple markets, this paper has proposed a novel optimization model of long-term generation scheduling for cascade hydropower plants in multiple markets to seek for the maximization of overall benefits. The Copula function is introduced to describe the correlation of stochastic prices between multiple markets. The price scenarios that obey the Copula fitting function are then generated and further reduced by using a scenario reduction strategy that combines hierarchical clustering and inconsistent values. The proposed model is applied to perform the long-term generation scheduling for the Wu River cascade hydropower plants and achieves an increase of 106.93 million yuan of annual income compared with the conventional scheduling model, without considering price scenarios, showing better performance in effectiveness and robustness in multiple markets.

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Section: Discussionmentioning

confidence: 97%

Section: Introductionmentioning

confidence: 99%

Long-Term Generation Scheduling for Cascade Hydropower Plants Considering Price Correlation between Multiple Markets

Luo

Miao²,

Cheng

et al. 2019

Energies

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“…China has been experiencing an unprecedented hydropower boom since implementing the national project "Electricity Transmission from West to East" in 2000 [3]. During this period, many hydropower-rich rivers in the southwest region were extensively exploited, such as Jinsha River, Lancang River, Yalong River, Dadu River, Hongshui River, and Wujiang River.…”

Section: Introductionmentioning

confidence: 99%

Optimal Operation of Interprovincial Hydropower System Including Xiluodu and Local Plants in Multiple Recipient Regions

et al. 2019

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This paper focuses on the monthly operations of an interprovincial hydropower system (IHS) connected by ultrahigh voltage direct current lines. The IHS consists of the Xiluodu Hydropower Project, which ranks second in China, and local plants in multiple recipient regions. It simultaneously provides electricity for Zhejiang and Guangdong provinces and thus meets their complex operation requirements. This paper develops a multi-objective optimization model of maximizing the minimum of total hydropower generation for each provincial power grid while considering network security constraints, electricity contracts, and plant constraints. The purpose is to enhance the minimum power in dry season by using the differences in hydrology and regulating storage of multiple rivers. The TOPSIS method is utilized to handle this multi-objective optimization, where the complex minimax objective function is transformed into a group of easily solved linear formulations. Nonlinearities of the hydropower system are approximatively described as polynomial formulations. The model was used to solve the problem using mixed integer nonlinear programming that is based on the branch-and-bound technique. The proposed method was applied to the monthly generation scheduling of the IHS. Compared to the conventional method, both the total electricity for Guangdong Power Grid and Zhejiang Power Grid during dry season increased by 6% and 4%, respectively. The minimum monthly power also showed a significant increase of 40% and 31%. It was demonstrated that the hydrological differences between Xiluodu Plant and local hydropower plants in receiving power grids can be fully used to improve monthly hydropower generation.

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“…1), the majority of hydropower capacity is concentrated in several western provinces, especially in southwest China (e.g. Sichuan, Yunnan, Hubei, Guizhou, and Guangxi provinces) [3,4]. These provinces are main hydropower producers and also exporters of hydropower because the increasing hydropower capacity substantially exceeds their local electricity demands [5].…”

Section: Introductionmentioning

confidence: 99%

Overview of China's hydropower absorption: evolution, problems, and suggested solutions

Shen

Cheng

Shen

et al. 2019

IET Renewable Power Generation

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China has experienced an unprecedented increase in hydropower development with the implementation of the 'West-East Electricity Transfer' project. Its total hydropower capacity has reached 350 GW, of which nearly one-third is transmitted to the load centre through an ultra-high-voltage power network. However, the absorption of abundant hydropower in southwest China is still a challenge, with increasing hydropower curtailment each year. This study provides an overview of the evolution of hydropower absorption, analyses the major problems and possible causes, and suggests several technical solutions. It is suggested to optimise the generation operations with power network limitations and transmission schedules to make full use of transmission channels and improve operational flexibility. Meanwhile, receiving power grids should coordinate the operations between southwestern hydropower and their local plants, and hydropower allocation among subordinate power grids. The differences in operation characteristics, regulation ability, and load demands will be helpful for efficiently absorbing large-scale outer hydropower. Reasonable economic incentives and compensation mechanisms are considered as another method to alleviate hydropower curtailment. Ancillary service market and discrepant electricity prices during different receivers and different periods are suggested. The overall analysis results indicate that there is great space for promoting hydropower absorption under existing transmission channel conditions.

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China’s Booming Hydropower: Systems Modeling Challenges and Opportunities

Cited by 58 publications

References 28 publications

Long-Term Generation Scheduling for Cascade Hydropower Plants Considering Price Correlation between Multiple Markets

Long-Term Generation Scheduling for Cascade Hydropower Plants Considering Price Correlation between Multiple Markets

Optimal Operation of Interprovincial Hydropower System Including Xiluodu and Local Plants in Multiple Recipient Regions

Overview of China's hydropower absorption: evolution, problems, and suggested solutions

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