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基于ADMM算法的主动配电网分层优化经济调度
引用本文:李军徽,马得轩,朱星旭,李翠萍,侯涛.基于ADMM算法的主动配电网分层优化经济调度[J].电力建设,2000,43(8):76-86.
作者姓名:李军徽  马得轩  朱星旭  李翠萍  侯涛
作者单位:现代电力系统仿真控制与绿色电能新技术教育部重点实验室(东北电力大学),吉林省吉林市 132012
基金项目:吉林省自然科学基金资助项目(2020122352JC)
摘    要:主动配电网(active distribution network,ADN)因其具有调度控制灵活、用户交互性高、能源利用率高等特征正逐渐取代传统配电网,在系统安全运行的前提下实现了经济性最优的目标。文章充分考虑配电网整体运行的经济性,提出一种基于交替方向乘子法(alternating direction method of multipliers, ADMM)的主动配电网分层优化经济调度方法。首先,以最小配电网整体运行成本为目标建立了主动配电网分层优化调度模型,借助ADMM算法分解为上下两层进行求解,上层以最小化配电网整体运行成本为目标进行优化,下层考虑配电网内部节点接入的分布式光伏和储能单元,以最小化本地储能运行成本和购电成本为目标进行优化。其次,上下两层通过有限的边界信息交换,相互迭代,直至满足收敛条件,得出最优解。最后,通过设计算例进行测试,验证了所提调度方法的有效性和可行性。

关 键 词:主动配电网(ADN)    交替方向乘子法(ADMM)    分层优化    经济调度
收稿时间:2022-02-14

Multi-level Optimization of Economic Dispatching Based on ADMM Algorithm for Active Distribution Network
LI Junhui,MA Dexuan,ZHU Xingxu,LI Cuiping,HOU Tao.Multi-level Optimization of Economic Dispatching Based on ADMM Algorithm for Active Distribution Network[J].Electric Power Construction,2000,43(8):76-86.
Authors:LI Junhui  MA Dexuan  ZHU Xingxu  LI Cuiping  HOU Tao
Affiliation:Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology, Ministry of Education (Northeast Electric Power University), Jilin 132012, Jilin Province, China
Abstract:Active distribution network is gradually replacing traditional distribution network, which has the characteristics of flexible dispatching and control, high user interaction and high energy utilization. It achieves the goal of economic optimization under the premise of safe operation of the system. A hierarchical optimal dispatching method based on ADMM algorithm for active distribution network is proposed. Firstly, the hierarchical optimization dispatching model of active distribution network is established with the goal of minimizing the overall operating cost of distribution network. With the help of ADMM algorithm, the model is decomposed into two layers for solving. The upper layer is solved with the goal of minimizing the overall operating cost of distribution network. The lower layer is to reduce the costs of local energy storage operation and power purchase. The upper and lower layers iterate with each other through limited boundary information exchange until the convergence condition is satisfied and the optimal solution is obtained. Finally, an example is designed to test the effectiveness and feasibility of the proposed scheduling method.
Keywords:active distribution network(ADN)                                                                                                                        alternating direction method of multipliers (ADMM)                                                                                                                        multi-level optimization                                                                                                                        economic dispatch
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