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Strategic Analysis Of Generation Rights Trade Between Dam-type Hydropower And Runoff Hydropower Considering Risk Of Storing Water

Posted on:2024-01-25Degree:MasterType:Thesis
Country:ChinaCandidate:Z ChengFull Text:PDF
GTID:2542307133460844Subject:Electrical engineering
Abstract/Summary:PDF Full Text Request
As a clean and renewable energy,hydropower has been widely used in the power system,and the vigorous development of hydropower will be help for realizing the energy structure transition of China.However,due to some reasons such as low accuracy of medium long-term inflow runoff forecasting,and strongly uncertain factors of natural inflow,which led to a lot of variables during the delivery of medium long-term contract volume for many hydropower stations,hydropower often faced with the risks such as failure to performance or spillage during power bidding.And generation rights trade can effectively solve those problems,so this is as an opportunity to make a deeper study on the problems of hydropower participating on generation rights trade under the market economy system.Generation rights trade refers to the paid transfer and purchase of contract electricity in the power market.The Generation rights trade between large-capability hydropower and smallcapability hydropower can use large-scale dam-type hydropower station with large with large installed capacity,great regulation performance and large regulation reservoir capacity and runoff hydropower stations with poor regulation performance to buy and sell part of contract power according to bilateral trading rules.It can effectively solve the problem of runoff hydropower plants’ drop-water,but also bring excess returns to dam-type hydropower plant to achieve mutual benefit and win-win results,therefore,the combination of generation right trade and reducing drop-water has great research value.This paper will take up from the perspective of dam-type hydropower plant,put forward a risk assessment model of generation rights trade between dam-type hydropower plant and runoff hydropower plants,and its main contents as follows:Firstly,based on various technical and economic characteristics that dam-type hydropower plant pays attention to in generation rights trade,to determine various evaluation indicators.After obtaining the five different indexes of installed capacity,market share,complementary incoming water,network loss cost and regulation capacity,quantify them respectively,comprehensive evaluation of multiple indicator evaluation method is carried out for different size of hydropower combination,and the optimal transaction combination is selected by entropy weight method.Then,taking the optimal combination as the research object,according to the supply and demand relationship in generation rights trade,and referring to the market demand and market discipline in econometrics,the bidding model of dam-type hydropower is established.According to the characteristics of electricity,applying proper market demand function to simulate the function relation between dam-type hydropower plant’s quotation and transactional electric quantity.Finally,according to the Sharp Ratio of dam-type hydropower plant,consider market risks and benefits comprehensively,optimizing annual power distribution model,the optimal electricity proportion of contract,spot and generation right trading will be determined,realizing the optimal investment portfolio of power produc ers in multistage electricity markets.In summary,reducing spillage and distributing reasonably the annual power consumption under market environment,which is worth exploring during their on-grid price bidding.This paper proposes project designs or mathematical models of generation rights trade between dam-type hydropower plant and runoff hydropower plants,distribution strategy of annual electric quantity of hydropower,models are analyzed by case study.The study has some significances and reference values on hydro-corporations’ accessing the power market.
Keywords/Search Tags:generation right trade, electricity market, risk modeling, electricity distribution
PDF Full Text Request
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