An optimal energy management system for a commercial building with renewable energy generation under real-time electricity prices
An optimal energy management system for a commercial building with renewable energy generation under real-time electricity prices
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DOI：
10.1016/j.scs.2018.05.049
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发表时间：
2018-08
影响因子：
11.7
通讯作者：
N. T. Mbungu;R. Bansal;R. Naidoo;Vladimiro Miranda;M. Bipath
中科院分区：
文献类型：
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作者：
N. T. Mbungu;R. Bansal;R. Naidoo;Vladimiro Miranda;M. Bipath
本文提出了一种实时电价环境下的能源管理与有效能源成本控制方法。该策略旨在优化电力系统的整体能量流，从而最大限度地减少电网的电力消耗成本。为了证实这些说法，我们分析了不同的分时电价（TOU）和可再生能源电价（即夏季和冬季），以及系统的稳健性。在Tshwane市（南非），给定的商业能源需求被用来研究设计的方法在低需求和高需求时期的行为。光伏作为电网集成的可再生能源，是保证商业建筑优质供电和环境问题的重要考虑因素。设计了一种模型预测控制框架下的自适应优化方法来协调电力系统的能量流。结果表明，所提出的自适应MPC策略可以促进电力系统优化设计的新方法，根据设定的目标，可将支付给电网的能源成本降低约46%或更多。
This paper presents an approach to the energy management and control of the effective cost of energy in real-time electricity pricing environment. The strategy aims to optimise the overall energy flow in the electrical system that minimises the cost of power consumption from the grid. To substantiate these claims different cases of time-of-use (TOU) and renewable energy electricity tariff, i.e. in summer and winter seasons, and the robustness of system is analysed. A given energy demand for commercial usage in the city of Tshwane (South Africa) is used to investigate the behaviour of the designed method during low and high demand periods. As grid integrated renewable energy resources, photovoltaic (PV) is an important consideration in assuring excellent power supply and environmental issues in the commercial building. An adaptive optimal approach in the framework of model predictive control (MPC) is designed to coordinate the energy flow on the electrical system. The results show that the proposed adaptive MPC strategy can promote the new approach of an optimal electrical system design, which reduces the energy cost to pay the utility grid by about 46% or more depending on the set target.