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Stochastic Multi-Agent Optimization Model for Energy Infrastructure Planning Under Uncertainty and Competition
| 题名： | Stochastic Multi-Agent Optimization Model for Energy Infrastructure Planning Under Uncertainty and Competition |
| 作者： | Guo, Z.; Fan, Y. |
| 关键词： | Energy supply chain##Decomposition##Infrastructure planning##Uncertainty analysis##Traffic network performance##Interdependence model##Oligopolistic market##Equilibrium##Stochastic multi-agent optimization##Competition##Transmission capacities##Reformulation##Algorithm design## |
| 摘要： | This paper presents a stochastic multi-agent optimization model that supports energy infrastructure planning under uncertainty. The interdependence between different decision entities in the system is captured in an energy supply chain network, where new entrants of investors compete among themselves and with existing generators for natural resources, transmission capacities, and demand markets. Directly solving the stochastic energy supply chain planning problem is challenging. Through decomposition and reformulation, we convert the original problem to many traffic network equilibrium problems, which enables efficient solution algorithm design. |
| 总页数： | 35 |
| 报告类型： | 科技报告 |
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