Issue |
E3S Web Conf.
Volume 416, 2023
3rd International Conference on Oil & Gas Engineering and Geological Sciences (OGEGS 2023)
|
|
---|---|---|
Article Number | 01030 | |
Number of page(s) | 9 | |
DOI | https://doi.org/10.1051/e3sconf/202341601030 | |
Published online | 10 August 2023 |
Research on Coordination Planning Model of Source-Grid-Load-Storage Considering Demand Response Uncertainty
1 Fujian Shuikou Power Generation Group Co., Ltd, Fuzhou 350004, China
2 North China Electric Power University, School of Economics and Management, Beijing 102206, China
With the integration of wind power, photovoltaic, and other new energy into the grid, the growth of carbon emissions has been effectively suppressed, which greatly contributes to the realization of the “Carbon peak, Carbon neutral’’. However, the randomness and instability of new energy generation also greatly affect the stable operation of the power grid. At present, the combination of demand response and power system can give full play to the maximum potential of new energy. This is an effective method to realize stable and optimal operation of power system. Based on this, this paper first constructs the SOC output characteristic model of energy storage and considers the DLC and time-of-use price as well as different demand response types. The robust optimization method is used to deal with the uncertainty of demand response. Secondly, a multi-objective function and constraint conditions are constructed to minimize the system planning cost, operation cost, and pollution emission. Finally, the genetic algorithm is used to analyze an example in a certain area of Fujian. In the example, the economy of planning schemes under different robust control parameters is compared and analyzed. The results show that the model and calculation method in this paper are beneficial to delaying the investment in power systems, and can provide decision-making reference for mining and utilizing demand response resources, reducing system planning costs and improving operation efficiency.
Key words: Demand response / robust optimization / planning method / uncertainty analysis
© The Authors, published by EDP Sciences, 2023
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.