摘要
In this study, the transportation and storage problems for regional power coal allocation planning are formulated as transportation and storage problems to realize the minimization of the regional transportation and storage cost. An effective optimiza- tion model is proposed to solve transportation and storage prob- lems for regional power coal allocation planning, which has inter- active effect on multiple participants, such as regional power plants, coal transportation companies, logistics centers, and coal storage centers. A case study illustrates that the model and algo- rithm are more reasonable compared with the classic transporta- tion model, and the sensitivity analysis improves transportation and storage strategies for regional power coal allocation planning. Results demonstrate that this model can not only satisfy more of the actual requirements of the integral system but also offer more information to the decision-makers （DMs） for reference in favor of exalting decision-making quality.
In this study, the transportation and storage problems for regional power coal allocation planning are formulated as transportation and storage problems to realize the minimization of the regional transportation and storage cost. An effective optimiza- tion model is proposed to solve transportation and storage prob- lems for regional power coal allocation planning, which has inter- active effect on multiple participants, such as regional power plants, coal transportation companies, logistics centers, and coal storage centers. A case study illustrates that the model and algo- rithm are more reasonable compared with the classic transporta- tion model, and the sensitivity analysis improves transportation and storage strategies for regional power coal allocation planning. Results demonstrate that this model can not only satisfy more of the actual requirements of the integral system but also offer more information to the decision-makers （DMs） for reference in favor of exalting decision-making quality.
基金
Supported by the National Natural Science Foundation of China (71103135)
the Fundamental Research Funds for the Central Universities
