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Optimal scheduling of buildings with energy generation and thermal energy storage under dynamic electricity pricing using mixed-integer nonlinear programming

机译：混合整数非线性规划在动态电价下具有能量产生和热能存储的建筑物的优化调度

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摘要

The increasing complexity of building energy systems integrated with renewable energy systems requires essentially more intelligent scheduling strategy. The energy systems often have strong nonlinear characteristics and have discrete working ranges. The mixed-integer nonlinear programming approach is used to solve their optimal scheduling problems of energy systems in building integrated with energy generation and thermal energy storage in this study. The optimal scheduling strategy minimizes the overall operation cost day-ahead, including operation energy cost and cost concerning the plant on/off penalty. A case study is conducted to validate the proposed strategy based on the Hong Kong Zero Carbon Building. Four scenarios are investigated and compared to exam the performance of the optimal scheduling. Results show that the strategy can reduce operation energy cost greatly (about 25%) compared with a rule-based strategy and the reduction is even increased to about 47% when a thermal energy storage system is used. The strategy can also reduce the on/off frequency of chillers significantly. (C) 2015 Elsevier Ltd. All rights reserved.
机译：与可再生能源系统集成的建筑能源系统的复杂性不断提高，从根本上需要更加智能的调度策略。能量系统通常具有很强的非线性特性，并且具有离散的工作范围。本研究采用混合整数非线性规划方法解决了建筑中能量生成与热能存储相结合的能源系统最优调度问题。最佳调度策略可最大程度地减少日前的总体运营成本，包括运营能源成本以及与工厂开/关罚款有关的成本。进行了案例研究，以验证基于香港零碳大厦的拟议策略。研究并比较了四个方案，以检查最佳计划的性能。结果表明，与基于规则的策略相比，该策略可以极大地降低运营能源成本（约25％），当使用热能存储系统时，这种降低甚至可以提高到约47％。该策略还可以显着降低冷水机的开/关频率。 （C）2015 Elsevier Ltd.保留所有权利。

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