Electric power system generation expansion plans considering the impact of Smart Grid technologies
Electric power system generation expansion plans considering the impact of Smart Grid technologies
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DOI：
10.1016/j.ijepes.2012.04.014
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发表时间：
2012-11
影响因子：
5.2
通讯作者：
Hatice Tekiner-Mogulkoc;D. Coit;F. Felder
中科院分区：
文献类型：
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作者：
Hatice Tekiner-Mogulkoc;D. Coit;F. Felder
在这项研究中，我们研究了电力系统发电扩建计划是如何基于智能电网技术的可用性而改变和改进的。新模型特别考虑(I)智能电网技术的可用性，以改善配电系统的性能，和/或(Ii)将需求从高峰时段转移到非高峰时段的技术的可用性。解决了多目标多时段发电扩展规划问题，以确定要添加的发电技术选项，以及在电网中应在何处建设这些选项，以同时最小化多个目标，如成本和空气排放，例如二氧化碳。未满足的需求也被视为目标函数中的成本，因此所提出的方法考虑了系统的可靠性。这里使用的方法明确考虑了系统组件的可用性和运营调度决策。首先通过蒙特卡罗模拟生成部件可用性场景，然后对混合整数优化问题进行求解，得到考虑这些场景的最优扩展解。
In this research, we investigate how the electric power system generation expansion plans change and improve based on the availability of Smart Grid technologies. The new model specifically considers (i) the availability of Smart Grid technologies improving the performance of the distribution system, and/or (ii) the availability of the technologies shifting the demand from peak hours to off-peak hours. Multi-objective multi-period generation expansion planning problems are solved to determine the electricity generation technology options to be added, and where in the grid they should be constructed to simultaneously minimize multiple objectives such as cost and air emissions, e.g., CO2. Unmet demand is also considered as a cost in the objective function so that the proposed approach considers the reliability of the system. The approach used here explicitly considers availability of the system components and operational dispatching decisions. Monte Carlo simulation is used to generate component availability scenarios, and then, the mixed-integer optimization problem is solved to find optimum expansion solutions considering these scenarios.