随机动态经济调度问题的存储器建模及近似动态规划算法

发布时间：2018-03-03 15:51

本文选题：风电场　切入点：抽水蓄能电站　出处：《中国电机工程学报》2014年25期 　论文类型：期刊论文

【摘要】：将含有风电场和抽水蓄能电站的电力系统随机动态经济调度问题描述为随机型存储器问题,以考虑风电场出力所具有的随机性。该模型含数学期望的计算,且实际问题状态空间、决策空间都是高维的,难以对其准确求解。因此,采用近似动态规划算法将值函数近似表示成分段线性函数的逼近形式,从而将随机存储器问题转化为一系列多阶段线性规划问题。通过扫描误差场景并相应求解所对应的线性规划问题,可实现对值函数进行训练,逐次修正各分段斜率值,直至值函数收敛后,再用来对预测场景下的线性规划问题进行求解,即得动态经济调度结果。该算法避免了求解准确解时面临的"维数灾"问题,具有较快的计算速度。以含风电场和抽水蓄能电站的小型测试系统和某省级实际电力系统为例,验证了所提模型与算法的可行性与有效性。
[Abstract]:The stochastic dynamic economic dispatch problem of power system with wind farm and pumped storage power station is described as a random memory problem, which takes into account the randomness of wind farm output. The state space and decision space of practical problem are all high-dimensional, so it is difficult to solve them accurately. Therefore, the approximate dynamic programming algorithm is used to approximate the value function as the approximate form of piecewise linear function. The random memory problem is transformed into a series of multistage linear programming problems. By scanning the error scene and solving the corresponding linear programming problem, the value function can be trained and the slope values of each segment can be revised one by one. After the value function converges, it is then used to solve the linear programming problem in the prediction scenario, that is, the dynamic economic scheduling result is obtained. The algorithm avoids the "dimension disaster" problem when solving the exact solution. The feasibility and validity of the proposed model and algorithm are verified by taking a small test system with wind farm and pumped storage power station and a provincial power system as an example.
【作者单位】：华南理工大学电力学院;
【基金】：国家重点基础研究发展计划项目(973计划)(2013CB228205) 国家自然科学基金项目(51207056)~~
【分类号】：TM73

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