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首页> 美国卫生研究院文献>Journal of Advanced Research >Short-term bulk energy storage system scheduling for load leveling in unit commitment: modeling optimization and sensitivity analysis
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Short-term bulk energy storage system scheduling for load leveling in unit commitment: modeling optimization and sensitivity analysis

机译：短期大容量储能系统计划用于机组承诺中的负载均衡：建模优化和灵敏度分析

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class="kwd-title">Keywords: Bulk energy storage system, Load leveling, Mixed integer linear programming, Short-term storage scheduling, Unit commitment class="head no_bottom_margin" id="idm140640899084384title">AbstractEnergy storage systems (ESSs) have experienced a very rapid growth in recent years and are expected to be a promising tool in order to improving power system reliability and being economically efficient. The ESSs possess many potential benefits in various areas in the electric power systems. One of the main benefits of an ESS, especially a bulk unit, relies on smoothing the load pattern by decreasing on-peak and increasing off-peak loads, known as load leveling. These devices require new methods and tools in order to model and optimize their effects in the power system studies. In this respect, this paper will model bulk ESSs based on the several technical characteristics, introduce the proposed model in the thermal unit commitment (UC) problem, and analyze it with respect to the various sensitive parameters. The technical limitations of the thermal units and transmission network constraints are also considered in the model. The proposed model is a Mixed Integer Linear Programming (MILP) which can be easily solved by strong commercial solvers (for instance CPLEX) and it is appropriate to be used in the practical large scale networks. The results of implementing the proposed model on a test system reveal that proper load leveling through optimum storage scheduling leads to considerable operation cost reduction with respect to the storage system characteristics.
机译：<！-fig ft0-> <！-fig @ position =“ position” anchor“ == f4-> <！-fig mode =” anchred“ f5-> <！-fig / graphic | fig / alternatives / graphic mode =“ anchored” m1-> class =“ kwd-title”>关键字：大容量储能系统，负载均衡，混合整数线性规划，短期存储调度，机组承诺 class =“ head no_bottom_margin” id =“ idm140640899084384title”>摘要储能系统（ESS）近年来经历了非常快速的增长，并且有望成为提高电力系统可靠性和可靠性的有前途的工具。具有经济效益。 ESS在电力系统的各个领域都具有许多潜在的好处。 ESS（尤其是散装机组）的主要优点之一在于，通过减少峰值负载和增加峰值负载来平滑负载模式，这称为负载均衡。这些设备需要新的方法和工具，以便在电力系统研究中建模和优化其效果。在这方面，本文将基于几个技术特征对大容量ESS进行建模，在热力机组承诺（UC）问题中引入拟议的模型，并针对各种敏感参数进行分析。该模型还考虑了热力单元的技术限制和传输网络的限制。所提出的模型是混合整数线性规划（MILP），可以通过强大的商业求解器（例如CPLEX）轻松求解，并且适合在实际的大规模网络中使用。在测试系统上实施提出的模型的结果表明，通过优化存储调度来适当地进行负载均衡会导致相对于存储系统特性而言可观的运营成本降低。

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