Demand side management using DADR automation in the peak load reduction
Demand side management using DADR automation in the peak load reduction
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DOI：
10.1016/j.rser.2016.09.049
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发表时间：
2017
影响因子：
15.9
通讯作者：
Szymon Wermiński;M. Jarnut;G. Benysek;J. Bojarski
中科院分区：
文献类型：
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作者：
Szymon Wermiński;M. Jarnut;G. Benysek;J. Bojarski
本文考虑使用一个自动分散系统DADR(分散式有功需求响应)来降低波兰电力系统(EPS)的峰值功率。从提高波兰EPS的效率和可靠性的角度来看，这一问题尤为重要，其目的是将峰值功率降低1千兆瓦，约占典型峰值功率的4%。在目前已知的减少高峰负荷的方法中，电价计划是常用的，但它们并没有达到预期的效果。考虑到这一点，本文评估了在与减少高峰负荷有关的活动中使用分散的主动需求反应系统的可能性。本文讨论了DADR装置与恒温负载(冰箱-冰柜)配合的工作原理，其中有可能改变其在电源侧的功率-时间特性。仿真结果显示了这种解的作用对日负荷曲线的综合影响。模拟结果表明，使用波兰现有的恒温装置(冰箱)的DADR系统可以显著降低峰值功率约0.37千兆瓦(目标为4%的1.6%)，高峰时段的能耗减少约0.65千兆瓦时，并转移到夜谷。所使用的随机算法降低了峰值能耗，对电力系统没有任何负面影响(没有功率超调和振荡)。作者提出的新公式还允许计算恒温装置的各种参数和不同的峰值功率持续时间的折合能量。
The paper considers the use of an automated decentralized system, the DADR (Decentralized Active Demand Response), for reduction of peak power in the Polish Electrical Power System (EPS). This issue is especially important from the point of view of improving the efficiency and reliability of the Polish EPSfor which purpose the aim is to reduce peak power by 1 GW, which represents about 4% of typically peak power value. Among the known methods of reduction of peak loads today, the tariff programs are commonly used; however, they do not achieve the desired results. With this in mind the article includes an assessment of the possibility of using a Decentralized Active Demand Response system for activities related to the reduction of peak loads. The article discusses the principle of operation of the DADR device in cooperation with thermostatic loads (fridge-freezer), in which there is a possibility to modify their characteristics of power versus time on the supply side. Analysis of the aggregated impact of the actions of such a solution on the daily load curve is shown in the simulation results. The simulation results have showed that the use of a DADR system involving thermostatic devices (fridgefreezers) available in Poland allows for a significant reduction in peak power of about 0.37 GW (1.6% of the targeted 4%) a reduction of energy consumption at peak hours of about 0.65 GWh and a shift to the night valley. The stochastic algorithm that was used reduced peak energy consumption without any negative impact on the electrical power system (there are no power overshoot and oscillations). It has also been shown that the new formula developed by the authors allows for calculation of the amount of reduced energy for various parameters of thermostatic devices and various durations of peak power.