Optimization Scheduling Method Of Power Grid Energy-Saving Based On Fuzzy Decision

• Published in: 2021 6th International Symposium on Computer and Information Processing Technology (ISCIPT) pp. 321 - 324
• Main Authors: Yuanyuan, Shi, Bo, Wang, Peng, Wan, Xiuguang, Li
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01.06.2021
• Subjects: energy-saving optimization scheduling; fuzzy decision; Fuzzy logic; Optimal scheduling; Photovoltaic systems; power grid transmission and distribution; Power transmission; Processor scheduling; Propagation losses; Transformers
• DOI: 10.1109/ISCIPT53667.2021.00071

As a reserve energy for the stable development of the society, the efficiency of the development and utilization of power resources indirectly affects the quality of electricity consumption of users and the quality of power marketing of power companies. In the process of transmission and distribution line operation, the multiple dimension power loss such as line power loss, electrical component power loss, transformer station loss and so on will be a non-negligible power loss. In the paper, the concept of membership function ratio is proposed, and the controller parameter optimization model with membership function ratio as optimization variable is established, and the intelligent bee colony algorithm is used to solve the problem. The method not only realizes the real-time scheduling of the power transmission and distribution joint system, but also improves the system's ability to absorb the photovoltaic in situ, and effectively reduces the operating cost of the system. The case analysis demonstrates the real-time and economical of the proposed method.