计及线路路径优化的空间电网规划

发布时间：2019-06-05 02:14

【摘要】：针对传统电网规划方法难于有效计及复杂路径及环境成本的问题,基于栅格化三维地图,以设备投资成本和运行费用综合最小为目标函数,考虑传统电网规划约束和线路路径优化约束,建立了考虑路径优化和变电站选址的空间电网规划模型。该模型是一个复杂的混合整数非线性规划模型,将其分解为考虑变电站选址的电网规划上层问题和线路路径优化下层问题,并提出适合求解该模型的遗传算法和动态规划法相结合的混合优化算法,该混合优化算法在采用遗传算法解决网架结构优化和变电站选址优化的同时,将动态规划法嵌入到遗传算法中,求解线路路径优化问题,为了提高计算效率,在遗传算法中引入了记忆体结构,IEEE Graver-6节点算例,IEEE 118节点算例和一个实际电网算例的结果验证了模型和算法的有效性。
[Abstract]:In order to solve the problem that the traditional power grid planning method is difficult to effectively consider the complex path and environmental cost, based on the rasterized three-dimensional map, the comprehensive minimum of equipment investment cost and operation cost is taken as the objective function. Considering the traditional power grid planning constraints and line path optimization constraints, a spatial power network planning model considering path optimization and substation location is established. The model is a complex mixed integer nonlinear programming model, which is decomposed into the upper layer problem of power network planning and the lower layer problem of line path optimization considering substation location. A hybrid optimization algorithm suitable for solving the model is proposed, which combines genetic algorithm with dynamic programming method. The hybrid optimization algorithm not only uses genetic algorithm to solve the optimization of grid structure and substation location, but also solves the optimization of substation location. The dynamic programming method is embedded into the genetic algorithm to solve the line path optimization problem. In order to improve the computational efficiency, the memory structure and IEEE Graver-6 node examples are introduced into the genetic algorithm. The effectiveness of the model and algorithm is verified by the results of IEEE 118bus example and an actual power grid example.
【作者单位】：华北电力大学电气与电子工程学院;中国长江三峡集团公司;
【基金】：国家自然科学基金项目(51347003) 中央高校基本科研业务费专项资金(12MS19)~~
【分类号】：TM715

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