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A Source-Load-Storage Integrated Planning Model for Power System with High Proportion of Renewable Energy

机译:具有高比例可再生能源的电力系统源-负荷-存储综合规划模型

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Under the vision of high proportion renewable energy power system in the future, the renewable energy (RE) such as wind power/PV with variation and uncertainty, as the main energy supplier, brings great flexibility demand to the power system. Typical model considering only one type of flexible resource and the power planning method based on the net load envelope will no longer applicable in such new complex scenarios. This paper introduces flexibility index to quantitatively evaluate the regulatory potential of the source-load-storage multi-type flexible resources and incorporate into the planning model as an optimal decision variable. Thus, a high-proportion RE planning model with the goal of minimizing the cost of full-cycle investment is established. And through three process modules of production simulation, flexibility evaluation and power investment decision making, the optimal power planning scheme of best flexibility performance can be realized. Finally, case study is proceed basing on the 2050 long term planning of a provincial power grid in North east China, and above model and algorithm is verified.
机译:在未来高比例可再生能源电力系统的愿景下,具有变化和不确定性的风能/ PV等可再生能源(RE)作为主要能源供应商,给电力系统带来了极大的灵活性需求。仅考虑一种类型的灵活资源的典型模型和基于净负载包络的功率规划方法将不再适用于此类新的复杂方案。本文引入了灵活性指标,以定量评估源-负载-存储多类型柔性资源的监管潜力,并将其作为最佳决策变量纳入规划模型。因此,建立了以最小化全周期投资成本为目标的高比例可再生能源计划模型。通过生产仿真,柔性评估和电力投资决策三个过程模块,可以实现具有最佳柔性性能的最优电源规划方案。最后,以东北某省级电网2050年远期规划为例,进行了案例研究,验证了以上模型和算法。

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