E3S Web Conf.
Volume 57, 20182018 3rd International Conference on Sustainable and Renewable Energy Engineering (ICSREE 2018)
|Number of page(s)||6|
|Section||Smart Grid and Power System|
|Published online||05 October 2018|
Research on the Construction of Security Constrained Economic Dispatch Scenarios for Large-scale Power Grid
Power Automation Department, China Electric Power Research Institute, Beijing, China
2 Power Dispatch and Control Center, the State Grid Corporation of China, Beijing, China
3 Power Dispatch and Control Center, the State Grid SICHUAN Electric Power Company, State Grid Corporation of China, Chengdu, China
Large-scale power grid security constrained economic dispatch is an effective technical means to solve the optimal allocation of resources in a large area. Based on the characteristics of dispatching plan in the State Grid Corporation, a processing strategy for optimizing objectives, planning adjustments, and basic data integration is proposed. A method of constructing a large-scale power grid security constrained economic dispatching scenario based on strategies combination is established, and the adaptability of different scenarios and the difficulty in constructing the corresponding model are analyzed. Multi-scenario construction aims at solving different problems in different scenarios and is a useful method for improving the availability and practicality of large-scale power grid security constrained economic dispatching technologies.
© The Authors, published by EDP Sciences, 2018
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0 (http://creativecommons.org/licenses/by/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.