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首页> 外文期刊>Generation, Transmission & Distribution, IET >Optimal place, size, and operation of combined heat and power in multi carrier energy networks considering network reliability, power loss, and voltage profile
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Optimal place, size, and operation of combined heat and power in multi carrier energy networks considering network reliability, power loss, and voltage profile

机译:考虑网络可靠性,功率损耗和电压曲线的多载波能源网络中热电联产的最佳位置,大小和运行方式

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摘要

Distributed energy resources play a substantial role in today's electrical distribution networks. Combined heat and power (CHP) is a great example of the technologies with potential of combining different energy infrastructures such as gas and electricity. In this study, optimal planning (placing and sizing) of CHPs at arbitrary nodes within a system containing an electrical and natural gas network is considered. Energy hub (EH) approach is employed in order to calculate the energy consumption (operation) of each bus along with its relevant costs. CHP is optimally planned (placed and sized) at the network by considering the operation costs, power loss, network reliability, and voltage penalty. Simulation is carried out on a 33 bus radial distribution system containing electrical and gas networks. The network is integrated by wind and energy storage in some electrical buses. Genetic algorithm of Matlab and Cplex solver of GAMS are used to solve the optimisation problem. The results show that optimal planning of the CHPs reduces total costs, operation costs, network reliability, power loss, and voltage penalty by 9.4, 10.8, 15.4, 16.8, and 10.1%, respectively. The results also show operation of the formed EHs at the arbitrary nodes with optimal planning of the CHPs.
机译:分布式能源在当今的配电网络中扮演着重要角色。热电联产(CHP)是该技术的一个很好的例子,具有将不同的能源基础设施(例如天然气和电力)相结合的潜力。在本研究中,考虑了在包含电力和天然气网络的系统内任意节点处的CHP的最佳规划(放置和大小确定)。为了计算每辆公交车的能耗(运行)及其相关成本,采用了能源枢纽(EH)方法。通过考虑运营成本,功率损耗,网络可靠性和电压损失,可以在网络上对CHP进行最佳规划(放置和调整大小)。在包含电气和燃气网络的33总线径向分配系统上进行了仿真。该网络通过风电和能量存储集成在某些电动公交车中。用Matlab遗传算法和GAMS Cplex求解器求解优化问题。结果表明,对热电联产的最佳规划分别将总成本,运营成本,网络可靠性,功率损耗和电压损失降低了9.4%,10.8%,15.4%,16.8%和10.1%。结果还显示了形成的EH在CHP的最佳计划下在任意节点上的运行。

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