Risk Explicit Interval Linear Programming Model for CCHP System Optimization Under Uncertainties
A risk explicit interval linear programming model for CCHP system optimization was proposed to provide better system cost-risk tradeoff for decision making. This method is an improved interval parameter programming, which can overcome the shortages of traditional interval parameter programming. The proposed approach can provide explicit system cost-risk tradeoff information by introducing aspiration level and system risk metric objective function. The explicit optimal strategies for decision maker with certain risk tolerance degree is more executable than the interval solutions in practice. The developed approach was applied to the CCHP system for a residential area. The results indicated that the aspiration level would have great effects on the system investment and operation decision making. For the pessimistic decision maker, the total cost would be higher with less system risk and safer system operation. For the optimistic decision maker, the total cost would be lower with higher system risk.
KeywordsCCHP Risk explicit Interval programming Energy management optimization
The authors gratefully acknowledge the financial support from National Natural Science Foundation of China (No. 71603016) and Natural Science Foundation of Beijing Municipality (No. 9174028).
- 7.Sheng, W., Peang, S., Tang, Y., Meng, X., Wang, D., Wu, Z., Gu, W.: Stochastic multi-objective scheduling of a cooling, heating and power microgrid containing a fuel cell. J. Renew. Sustain. Energy 7 (2015). https://doi.org/10.1063/1.4937471
- 18.Zhang, X., Huang, K., Zou, R., Liu, Y., Yu, Y.: A risk explicit interval linear programing model for uncertainty-based environmental economic optimization in the Lake Fuxian watershed, China. Sci. World J. (2013). Article ID 824078. https://doi.org/10.1155/2013/824078