基于ADMM算法的主动配电网分层优化经济调度

doi:10.12204/j.issn.1000-7229.2022.08.008

电力建设 ›› 2022, Vol. 43 ›› Issue (8): 76-86.doi: 10.12204/j.issn.1000-7229.2022.08.008

• 新型电力系统下配电网规划与运行优化关键技术研究及应用·栏目主持王守相教授、赵倩宇博士· • 上一篇下一篇

基于ADMM算法的主动配电网分层优化经济调度

李军徽(), 马得轩, 朱星旭(), 李翠萍, 侯涛

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

收稿日期:2022-02-14 出版日期:2022-08-01 发布日期:2022-08-05
通讯作者: 朱星旭 E-mail:neduzxx@163.com
作者简介:李军徽(1976),男,博士,教授,主要研究方向为新能源发电联网运行关键技术和储能技术应用等
马得轩(1997),男,硕士研究生,主要研究方向为配电网分布式储能优化调度
李翠萍(1982),女,博士,副教授,主要研究方向为新能源运行与控制、配电网中分布式储能控制策略
侯涛(1996),男,硕士研究生,主要研究方向为储能技术在新能源发电中的应用
基金资助:
吉林省自然科学基金资助项目(2020122352JC)

Multi-level Optimization of Economic Dispatching Based on ADMM Algorithm for Active Distribution Network

LI Junhui(), MA Dexuan, ZHU Xingxu(), LI Cuiping, HOU Tao

Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology, Ministry of Education (Northeast Electric Power University), Jilin 132012, Jilin Province, China

Received:2022-02-14 Online:2022-08-01 Published:2022-08-05
Contact: ZHU Xingxu E-mail:neduzxx@163.com
Supported by:
Natural Science Foundation of Jilin Province of China(2020122352JC)

摘要/Abstract

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

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.

Key words: active distribution network(ADN), alternating direction method of multipliers (ADMM), multi-level optimization, economic dispatch

中图分类号:

TM734

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, 2022, 43(8): 76-86.

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, 2022, 43(8): 76-86.

图/表 19

图1 主动配电系统结构

Fig.1 Structure of an active distribution system

图2 辐射状配电网结构及分层调度框架

Fig.2 Radial distribution network structure and hierarchical scheduling framework

图3 光伏逆变器调节能力

Fig.3 Regulation capacity of PV inverter

图4 分布式储能充放电模型

Fig.4 Charging and discharging model of ESS

图5 分布式储能有功和无功容量图

Fig.5 Active and reactive capacity of ESS

图6 双层优化调度求解流程

Fig.6 Calculation flowchart of bi-level optimal dispatch model

图7 IEEE 33节点算例系统

Fig.7 IEEE 33-node system

图8 各节点有功负荷

Fig.8 Active load of each node

图9 各节点无功负荷

Fig.9 Reactive load of each node

图10 残差收敛过程

Fig.10 Residual convergence process

表1 不同罚系数求解时间对比

Table 1 Comparison of solving time of different penalty coefficients

图11 不同罚系数典型节点光伏单元出力分析

Fig.11 PV output analysis of typical nodes with different penalty coefficients

表2 不同罚系数配网弃光率对比

Table 2 Comparison of abandoned PV rate of different penalty coefficient distribution network

图12 各节点储能单元出力

Fig.12 ESS Output of each node

图13 节点15储能单元、光伏出力与影子价格对比

Fig.13 Comparison of ESS,PV output and shadow price of the 15th node

图14 各节点电压变化情况

Fig.14 Voltage variation of each node

图15 各节点注入有功功率

Fig.15 Injected active power of each node

图16 各节点引导价格

Fig.16 Guide price of each node

图17 节点15电压与引导价格对比

Fig.17 Comparison of voltage and guide price of the 15th node

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基于ADMM算法的主动配电网分层优化经济调度

Multi-level Optimization of Economic Dispatching Based on ADMM Algorithm for Active Distribution Network

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