Renewable Energy Absorption Oriented Many-Objective Probabilistic Optimal Power Flow

• Published in: IEEE transactions on network science and engineering Vol. 11; no. 6; pp. 5432 - 5448
• Main Authors: Li, Yuanzheng, He, Shangyang, Li, Yang, Ding, Qiang, Zeng, Zhigang
• Format: Journal Article
• Language: English
• Published: Piscataway IEEE 01.11.2024; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Absorption; Algorithms; Costs; Energy absorption; Ensemble learning; Feasibility studies; Greenhouse gases; Load flow; many-objective optimization; Multiple objective analysis; Optimization; optimization algorithm; Power flow; Power system stability; probability optimal power flow; Renewable energy; Renewable energy absorption; Renewable resources; Voltage control; Wind power generation

To achieve the net zero emission of greenhouse gases, renewable energy (RE) has been highly penetrated into the power system. However, the high absorption of RE may violate operational constraints of the power system and impact its secure and economic operation. In contrast, if some of the penetrate...