A Method for Load Classification and Energy Scheduling Optimization to Improve Load Reliability
AbstractWith the large amount of distributed generation in use, the structure of the distribution system is increasingly complex. Therefore, it is necessary to establish a method to improve load reliability. Based on the reliability model of distributed generation, this paper investigates the time sequential simulation of a wind/solar/storage combined power supply system under off-grid operation. After classifying the load by power supply region, the load weight coefficient is established, which modifies the reliability index of the load point and system. The modified expected energy not supplied (EENS) is adopted as the objective function, and the particle swarm optimization algorithm is used to solving the optimal energy scheduling for improving the load reliability. Finally, the load reliability is calculated with a hybrid method. Using the IEEE-RBTS Bus 6 system as an example, the correctness and validity of the proposed method are verified as an effective way to improve load reliability. View Full-Text
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Ren, Y.; Wu, H.; Yang, H.; Yang, S.; Li, Z. A Method for Load Classification and Energy Scheduling Optimization to Improve Load Reliability. Energies 2018, 11, 1558.
Ren Y, Wu H, Yang H, Yang S, Li Z. A Method for Load Classification and Energy Scheduling Optimization to Improve Load Reliability. Energies. 2018; 11(6):1558.Chicago/Turabian Style
Ren, Yinze; Wu, Hongbin; Yang, Hejun; Yang, Shihai; Li, Zhixin. 2018. "A Method for Load Classification and Energy Scheduling Optimization to Improve Load Reliability." Energies 11, no. 6: 1558.
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