Power rationing in a long-term power shortage
Power rationing in a long-term power shortage
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DOI：
10.1016/j.enpol.2018.06.025
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发表时间：
2018-10
期刊：
影响因子：
9
通讯作者：
A. Heggie;D. Eager;Ken McKinnon;A. H. Weijde
中科院分区：
文献类型：
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作者：
A. Heggie;D. Eager;Ken McKinnon;A. H. Weijde
在许多发展中国家，电力需求远远超出其所能满足的水平，导致经常性的减负荷。必须选择一些政策来实现公平有效的电力配给，但是，输电限制和不可靠的发电可能会使实现特定的电力分配变得困难。我们开发了方法来量化最大化输送电力总量和以更公平的方式分配可用电力之间的权衡。为此，我们模拟了一种常见情况，其中系统运营商根据不同地区的外生比例分配目标最大限度地减少负荷减少。然后，我们探讨允许的目标偏差水平如何影响减载水平。这个最小化问题在数学上具有挑战性，但我们基于拉格朗日分解为其开发了一种有效的解决方法。我们将我们的方法应用于尼日利亚电力系统的案例研究，并分析了在不同问题规范下获得的效率和公平性之间的帕累托边界。在我们的案例研究中，我们表明尼日利亚当前的政策使输送的总电量减少了高达 5%，但在更长的时间内执行政策可以大大减少这种效率损失。
In many developing countries power demand is much greater than can be met, leading to routine load shedding. Some policy must be chosen for the fair and efficient rationing of power, however, transmission constraints and unreliabile generation can make it difficult to achieve a particular allocation of power.We develop methods to quantify the trade-off between maximising the total amount of power delivered and distributing the available power in a fairer way. To do so, we model a common situation in which the system operator minimises load shedding, subject to exogenous proportional allocation targets for different regions. We then explore how the level of permitted deviation from the target affects the level of load shedding. This minimisation problem is mathematically challenging, but we develop an efficient solution method for it based on Lagrangian decomposition.We apply our methods to a case study of the Nigerian Power system and analyse the Pareto frontiers between efficiency and fairness obtained under different specifications of the problem. In our case study, we show that current Nigerian policies reduce the total amount of power delivered by up to 5%, but that enforcing policies over a longer time horizon substantially reduces this efficiency penalty.