MATEC Web of Conferences
Volume 55, 20162016 Asia Conference on Power and Electrical Engineering (ACPEE 2016)
|Number of page(s)||6|
|Section||Dynamic Load Modelling and Renewable Energy System|
|Published online||25 April 2016|
A Real-Time Load Distribution Method of Hydro-Thermal Power Grid Based on Working Conditions Self-Matching
School of Hydropower and Information Engineering, Huazhong University of Science and Technology, Wuhan, 430074, P R China
a Corresponding author: firstname.lastname@example.org
Short-term hydro-thermal power optimal dispatch is a classical problem. Traditional scheduling methods cannot meet the requirements of different dispatch periods separately, and can hardly ensure the safety operation of cascade hydropower stations and reduce wasting water. So the problem how to ensure the safety operation of power grid and the rational utilization of water resources should be settled urgently. In order to solve the problem, a real-time load distribution method of hydro-thermal power grid based on working conditions self-matching is proposed in this paper. In the proposed method, working conditions self-matching is proposed to meet the requirements of different dispatch periods separately for ensuring the efficiency and economy of the power grid. Finally, the proposed method is applied to Sichuan power grid to verify its feasibility and effectiveness. Compared to traditional scheduling methods, the proposed method not only has excellent performance in the utilization of water resources but also can meet all constrains of each scheduling period, which provides a new method to solve the real-time load distribution of hydro-thermal power grid.
© Owned by the authors, published by EDP Sciences, 2016
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.