Risk-based optimal performance of a PV/fuel cell/battery/grid hybrid energy system using information gap decision theory in the presence of demand response program
Risk-based optimal performance of a PV/fuel cell/battery/grid hybrid energy system using information gap decision theory in the presence of demand response program
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DOI：
10.1016/j.ijhydene.2017.02.147
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发表时间：
2017-04
影响因子：
7.2
通讯作者：
Sayyad Nojavan;M. Majidi;K. Zare
中科院分区：
文献类型：
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作者：
Sayyad Nojavan;M. Majidi;K. Zare
电力系统中不同参数的不确定性是系统运营商一直面临的最大挑战之一。在本文中，最佳性能的并网光伏/燃料电池/电池混合动力系统已评估存在的需求响应计划，考虑电力负荷的不确定性。信息间隙决策理论（IGDT）已被提出来建模电力负荷的不确定性。通过鲁棒性函数和机会函数得到不同的控制策略，运营商可以有多种选择来控制不确定性。通过将一定比例的负荷从高峰时段转移到其他时段，DRP优化了负荷曲线，并使混合动力系统的总成本最小。一个样本系统进行了仿真，并将结果进行了比较，以验证所提出的技术。
One of the big challenges that system operators have always dealt with is uncertainty of different parameters in the power systems. In this paper, optimal performance of an on-grid PV/fuel cell/battery hybrid system has been evaluated in the presence of demand response program with considering electrical load uncertainty. Information gap decision theory (IGDT) has been proposed to model the uncertainty of electrical load. Utilizing different strategies obtained through the robustness and opportunity functions, operator will have several options to control the uncertainty. By shifting some percentage of load from peak periods to other periods, DRP flattens load curve and minimizes total cost of hybrid system. A sample system is simulated and the results are compared to validate the proposed techniques.