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Optimal placement and sizing of heat pumps and heat only boilers in a coupled electricity and heating networks

机译:在热电联供网络中优化热泵和仅加热锅炉的位置和尺寸

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摘要

Multi-energy systems are reported to have a better environmental and economic performance relative to the conventional, single-carrier, energy systems. Electrification of district heating networks using heat pumps and combined heat and power technologies is one such example. Due to lack of suitable modelling tools, however, the sizing and optimal placement of heat pumps is always done only from the heating network point of view which sometimes compromises the electricity network. This paper proposes an integrated optimization algorithm to overcome such limitation. A load flow model based on an extended energy hub approach is combined with a nested particle swarm optimization algorithm. A waste to energy combined heat and power plant, heat pumps (HPs), heat only boiler (HOB), solar photovoltaic, wind turbines and imports from the neighborhood grids are considered in the case studies. The results show that optimal placement and sizing of HPs and a HOB using the proposed methodology avoids an unacceptable voltage profiles and overloading of the electricity distribution network, which could arise while optimizing only from the heating network point of view. It also shows that up to 41.2% of the electric loss and 5% of the overall operating cost could be saved. (C) 2019 The Authors. Published by Elsevier Ltd.
机译:据报道,与传统的单载波能源系统相比,多能源系统具有更好的环境和经济性能。使用热泵以及热电联产技术的区域供热网络电气化就是这样的例子。但是,由于缺乏合适的建模工具,总是仅从加热网络的角度来完成热泵的大小确定和最佳放置,这有时会损害电网。本文提出了一种综合优化算法来克服这种限制。基于扩展的能量枢纽方法的潮流模型与嵌套粒子群优化算法相结合。在案例研究中,考虑了将废物转化为能源的热电厂,热泵(HP),仅热锅炉(HOB),太阳能光伏发电,风力涡轮机以及从附近电网进口的能源。结果表明,使用所提出的方法对HP和HOB进行最佳放置和尺寸调整可避免出现不可接受的电压曲线和配电网络过载,这仅在从加热网络的角度进行优化时才会出现。它还表明,可以节省多达41.2%的电力损耗和5%的总体运营成本。 (C)2019作者。由Elsevier Ltd.发布

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