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首页> 外文期刊>Electric power systems research >Stochastic electrical and thermal energy management of energy hubs integrated with demand response programs and renewable energy: A prioritized multi-objective framework
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Stochastic electrical and thermal energy management of energy hubs integrated with demand response programs and renewable energy: A prioritized multi-objective framework

机译：能量集线器的随机电气和热能管理与需求响应计划和可再生能源集成：优先的多目标框架

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摘要

Energy hubs (EH) are known as multi-carrier systems that integrate multiple energy resources to enable greater flexibility in the energy provision. In this study, a multi-objective decision-making framework is proposed to determine the optimal scheduling of EHs. The proposed model considers the total cost of the EH, emissions, power losses, and average reserve of EH, simultaneously. These objectives are prioritized based on the EH preference that can be different for each EH. In this strategy, the cost of the EH has the highest priority and is considered as the main objective. The emission, system losses, and system reserve simultaneously have been considered as secondary objectives. According to the prioritization made among objectives, a lexicography optimization is performed in which cost minimization is considered in the first step, and the secondary objectives are evaluated in the second step of optimization. The intermittency nature of the electrical and thermal loads, renewable generation, and market prices are applied to the model by stochastic techniques. The proposed multiobjective model has been tested on the non-real benchmark system (standard IEEE 5-bus test system). The simulation results show that the proposed model improves the reserve capacity, emission, and system losses.
机译：能量集线器（EH）称为多载波系统，可集成多个能量资源，以实现能量提供的更大灵活性。在这项研究中，提出了一种多目标决策框架来确定EHS的最佳调度。拟议的模式同时考虑欧元，排放，功率损失和平均储备的总成本。这些目标是基于对每个EH不同的eH偏好进行的优先考虑。在这一策略中，EH的成本具有最优先级，被认为是主要目标。同时发射，系统损失和系统储备被视为次要目标。根据目标的优先级，执行词典优化，其中在第一步中考虑成本最小化，并且在优化的第二步中评估次要目标。通过随机技术应用了电气和热负荷，可再生生成和市场价格的间歇性质。已经在非真实基准系统（标准IEEE 5-Bus测试系统）上进行了所提出的多目标模型。仿真结果表明，该建议的模型提高了储备容量，发射和系统损失。

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