Analysis of Power Planning Model Based on Minimizing the Initial Investment Cost

Abstract:

This paper establishes a power planning model based on minimization of the initial investment cost. The model includes the initial investment cost of wind turbines, photovoltaic cells, batteries, and biomass generators, diesel generators, power electronic devices and communications facilities in the objective function. In consideration of some constraint conditions, using the principle of priority of biomass generators, we use the particle swarm algorithm to solve the model. Through the calculation of actual examples, we simulate to find optimal solutions. Finally, we conclude that it should be possible to use biomass power generation and diesel generator power.

• Periodical: Advanced Materials Research (Volumes 838-841)
• Pages: 3237-3244
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.838-841.3237
• Online since: November 2013
• Authors: Zhong Jing Liu, Ting Ting Fu, Xu Dong Yu, Jun Zhou Ma, Xue Feng Dong, Shu Yan Fang, Shuang Wen Wang
• Keywords: Initial Investment Cost, Particle Swarm Algorithm, Power Planning Model

References

[1] Song Xuri, Ye Lin. Research on the optimal configuration of multiple complementary power system of the wind/PV/diesel. The Power Grid and Clean Energy, 2011, 27(5): 65~72.

[2] Ma Xiyuan, Wu Yaowen, Fang Hualiang, Sun Yuanzhang. Power allocation of hybrid micro grid of the wind/PV/storage based on the modified bacterial foraging algorithm. Chinese Journal of Mechanical Engineering, 2011, 31(25): 17~25.

[3] Li Pin. Research on optimization design of independent operation complementary power system of the wind/PV/storage. Beijing: North China Electric Power University Library, (2011).

[4] Lin Shan. Research on the optimal capacity of distributed power in micro grid. Beijing: North China Electric Power University Library, (2012).

[5] Xiong Wei. Micro grid planning with multiple photovoltaic power. Hunan: Central South University Library, (2011).

[6] Liu Mengxuan, Wang Chengshan, Guo Li, Zhao Bo, Zhang Xuesong, Liu Yun. Optimization design method of independent micro grid based on multi objective, 2012, 36(17): 34~39.

[7] Yang Qi, Zhan Jianhua, Liu Zifa, Xia Shu. Multi objective optimal design of wind and solar hybrid power supply system, 2009, 33(17): 86~90.

[8] Zhao Shengwu. Design and implementation of independent micro grid of the wind/PV/diesel /storage. Hunan: Hunan University Library, (2011).