Author(s)

Wei Zhao ¹

Affiliation(s)

¹ State Grid Cangzhou Electric Power Supply Company, Cangzhou, Hebei, China

Corresponding Author

Wei Zhao

ABSTRACT

In recent years, China's renewable energy has continued to develop rapidly, and the integration of a high proportion of renewable energy into the grid will be an inevitable trend and an important feature of the development of China's power system. A large number of distributed power sources are connected to the power system, which has an impact on the normal operation of the power grid and power quality, and also poses new requirements and challenges for power consumption and storage. This paper aims to study the planning of integrated power grid transmission and distribution system based on high proportion of renewable energy. In order to grasp the change trend of wind power and photovoltaic power and facilitate the formulation of scheduling tasks, this paper introduces a short-term wind and solar power prediction method based on the back-propagation (GSA-BP) neural network optimized by the improved gravitational search algorithm. Firstly, in view of the shortcomings of slow convergence, over-fitting and parameter redundancy in the prediction of wind and solar power by neural network, this paper uses the good global optimization ability of GSA algorithm to determine the optimal weights and thresholds of BP, which enhances the performance of BP neural network.. Then, a new error correction scheme is introduced in this paper, which verifies that there is a certain correlation between forecast errors and specific comprehensive meteorological indicators. The simulation results show that the improved wind and solar power prediction method proposed in this paper can obtain better prediction results, and the error correction method can improve the prediction accuracy and has wide applicability.

KEYWORDS

High Proportion of Renewable Energy, Integrated Power Grid Transmission and Distribution, Strategy Optimization, System Planning

CITE THIS PAPER

Wei Zhao, Planning of Integrated Power Grid Transmission and Distribution System Based on High Proportion of Renewable Energy. Environment, Resource and Ecology Journal (2022) Vol. 6: 79-85. DOI: http://dx.doi.org/10.23977/erej.2022.060412.

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