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Environmental/economic dispatch incorporating renewable energy sources and plug-in vehicles

机译:结合可再生能源和插电式车辆的环境/经济调度

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摘要

Transportation and electricity industries are considered as major sources of greenhouse gases (GHGs) emission. Different methods have been proposed to deal with the increasing rate of the emission, such as employing plug-in electric vehicles (PEVs) and integrating renewable energy sources (RESs). However, it is important to scrutinise different scenarios of incorporating the mentioned elements to decrease the concerning emission rate while considering the economic constraints. In this study, a combined economic emission dispatch (CEED) is employed to investigate the effectiveness of using PEVs and RESs from different aspects. A sensitivity analysis is executed to survey the influence of emission and cost coefficients. Two test cases each including different scenarios are simulated to determine the efficacy of different types of integration in the proposed model. To have a more accurate and realistic survey, an extended model of the wind farm's cost function is employed in economic dispatch calculations. The particle swarm optimisation algorithm is applied to solve the CEED non-linear problem. The obtained results indicate that the integration of PEVs cannot necessarily reduce the net emission of two industries. In fact, the optimum solution should include the incorporation of PEVs along with RESs to return the desired results.
机译:运输和电力行业被视为温室气体(GHG)排放的主要来源。已经提出了不同的方法来应对排放的增加率,例如采用插电式电动汽车(PEV)和集成可再生能源(RES)。然而,重要的是要仔细考虑结合上述要素以降低相关排放率的各种情况,同时考虑经济因素。在这项研究中,采用组合经济排放调度(CEED)来从不同方面研究使用PEV和RES的有效性。执行敏感性分析以调查排放和成本系数的影响。模拟两个分别包含不同场景的测试案例,以确定所提出模型中不同类型集成的功效。为了更准确,更实际地进行调查,在经济调度计算中采用了风电场成本函数的扩展模型。应用粒子群算法求解CEED非线性问题。结果表明,电动汽车的整合并不一定能减少两个行业的净排放量。实际上,最佳解决方案应包括将PEV与RES结合使用以返回所需结果。

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