Day-ahead Trading Model for New Energy Consumption with Participation of Self-generation Power Plants Based on Renewable Portfolio Standards
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Day-ahead Trading Model for New Energy Consumption with Participation of Self-generation Power Plants Based on Renewable Portfolio Standards
Vol. 44, Issue 3, Pages: 12-17(2021)
作者机构:
新疆电力交易中心有限公司
作者简介:
基金信息:
DOI:
CLC:TM732
Published:2021
稿件说明:
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ZHAO Lei. Day-ahead Trading Model for New Energy Consumption with Participation of Self-generation Power Plants Based on Renewable Portfolio Standards[J]. 2021, 44(3): 12-17.
DOI:
ZHAO Lei. Day-ahead Trading Model for New Energy Consumption with Participation of Self-generation Power Plants Based on Renewable Portfolio Standards[J]. 2021, 44(3): 12-17.DOI:
Day-ahead Trading Model for New Energy Consumption with Participation of Self-generation Power Plants Based on Renewable Portfolio Standards
There is a rapid development of domestic wind power
photovoltaics and other new energy power generation
but the local consumption and grid transmission capacity in some areas are limited
local self-generation power plants have not fully played the role of peak shaving
and the phenomenon of wind curtailment and photovoltaic curtailment is becoming more and more serious. So it’s difficult to achieve quota targets. In order to use market means to fully mobilize local self-generation power plants to participate in new energy consumption and promote the completion of new energy quota targets
and at the same time to avoid the problem of increased social consumption costs caused by forcibly fulfilling targets
a day-ahead trading model of new energy is proposed based on bidding and delisting. Through market-oriented means with a guiding effect
the willingness of users with self-generation power plants is mobilized to increase the completion of quota targets and reduce overall consumption costs. Finally
taking Xinjiang region for example
the value of this transaction model in improving the completion of quota targets and minimizing the overall cost of social consumption is analyzed and verified
which provides a new way for the construction of power markets in Xinjiang and similar regions.