E3S Web Conf.
Volume 218, 20202020 International Symposium on Energy, Environmental Science and Engineering (ISEESE 2020)
|Number of page(s)||6|
|Section||New Energy Development and Energy Sustainable Development Optimization|
|Published online||11 December 2020|
Dynamic paid peak shaving benchmarks and bidding strategies adapted to the high proportion of new energy system
School of Electrical Engineering Shenyang University of Technology Shenyang 110006 CN
2 School of Electrical Engineering Northeast Electric Power University Jilin 132012 CN
* Corresponding author: email@example.com
This article mainly analyze the shortcomings of the inherent peak shaving auxiliary service mechanism in the high-proportion of new energy access scenarios in Northeast China, which restricts the enthusiasm of thermal power units to participate in peak shaving. For this reason, a dynamic peak shaving compensation benchmark is proposed which follows load changes. At the same time, in order to standardize market behavior and facilitate market supervision, a guiding formula is proposed for quotation of thermal power units. Based on the above, a dynamic auxiliary service market mechanism is established which used actual operating data of Liaoning province power grid as a calculation example to verify that the mechanism can effectively improve the enthusiasm of thermal power units to participate in peak shaving, which is conducive to market operation and supervision as well.
© The Authors, published by EDP Sciences, 2020
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.