可再生能源发电高渗透率的智能电网多资源扩展规划

Yang Cao, Miao He, Zhiqiang Wang, Tao Jiang, Junshan Zhang
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引用次数: 10

摘要

研究了多区域智能电网系统中常规发电容量、风力发电容量和并网容量的联合扩容规划。具体地说,我们将扩展规划问题表述为一个两阶段的随机规划问题:1)在第一阶段,制定资源扩展计划,使整个规划范围内的期望总成本最小;2)在第二阶段,考虑在小时调度时段实现负荷和风力发电,通过使常规发电成本和(或)负荷损失成本最小化,求出潮流的最优调度决策,并以此计算期望运行成本和(或)负荷损失成本作为第一阶段成本的一部分。特别地,利用l型算法得到了资源扩展规划问题的最优解。多个实例的仿真结果表明,多区域智能电网的最优扩容方案确实取决于预期风力发电、现有发电容量和输电容量的不确定性水平。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Multiple resource expansion planning in smart grids with high penetration of renewable generation
We study joint expansion planning of conventional generation capacity, wind generation capacity and tie line capacity in a multi-area smart grid system. Specifically, we formulate the expansion planning problem as a two-stage stochastic programming problem: 1) in the first stage, resource expansion plans are made to minimize the expected overall cost throughout the entire planning horizon; 2) in the second stage, given the realization of load and wind generation in hourly scheduling slots, optimal scheduling decisions of power flows are found by minimizing the cost incurred by conventional generation and/or loss of load, which is used to compute the expected operation cost and/or loss of load cost as part of the cost in the first stage. In particular, the optimal solution to the resource expansion planning problem is obtained using the L-shaped algorithm. The simulation results of several case studies indicate that the optimal expansion plans for a multi-area smart grid indeed depend on the uncertainty level of prospective wind generation, the existing generation capacity and the transmission capacity.
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