Optimal integration of interconnected water and electricity networks
Optimal integration of interconnected water and electricity networks
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DOI：
10.1049/gtd2.12153
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发表时间：
2021-03
期刊：
影响因子：
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通讯作者：
Mohannad Alhazmi;P. Dehghanian
中科院分区：
文献类型：
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作者：
Mohannad Alhazmi;P. Dehghanian
随着先进的异构技术的广泛部署和日益复杂的现代社会，有越来越多的风险意识管理和互联基础设施和生命线网络的联合运营的需求。作为能源密集型的关键基础设施之一，供水网络与电力网络之间的协调是迫切需要的。本文提出了一个框架，日前运行优化和协调的互联联合电力和水网络（JPWNs）。与PWNs在各自领域单独运行的最新技术不同，我们提出了一个PWNs的集成框架，该框架将电网中的最优潮流（OPF）机制与水网的创新运行模型结合起来。分段线性化应用到非线性水力运行约束，将所提出的优化模型转化为混合整数线性规划（MILP）公式。建议的框架被应用到一个15节点的水网络与IEEE 9节点和IEEE 57节点的测试电力系统联合运行。仿真结果表明了该框架的有效性，当两个系统的运行联合优化时，可以降低成本和节能。结果表明，所提出的方法是可扩展的和计算效率时，应用到大规模的系统。
With the widespread deployment of advanced heterogeneous technologies and growing complexity in our modern society, there is an increasing demand for risk-aware management and joint operation of interconnected infrastructures and lifeline networks. The coordination between Power and Water Networks (PWNs) is urgently needed as water networks are one of the most energyintensive critical infrastructures. This paper proposes a framework for day-ahead operation optimization and coordination of the interconnected Joint Power and Water Networks (JPWNs). Unlike the state-of-the-art where PWNs are individually operated in their respective domains, we present an integrated framework for PWNs that conjoins the Optimal Power Flow (OPF) mechanisms in power grids with innovative operation models of the water networks. Piece-wise linearization is applied to the nonlinear hydraulic operating constraints to convert the proposed optimization model into a mixed-integer linear programming (MILP) formulation. The suggested framework is applied to a 15-node water network jointly operated with the IEEE 9-bus and IEEE 57-bus test power systems. The simulation results show the effectiveness of the proposed framework, result-ing in cost reduction and energy-saving when both systems’ operation is jointly optimized. The results show that the proposed methodology is scalable and computationally-efficient when applied to larger-scale systems.