吉林大学学报(工学版) ›› 2024, Vol. 54 ›› Issue (12): 3681-3692.doi: 10.13413/j.cnki.jdxbgxb.20230119

• 通信与控制工程 • 上一篇    下一篇

计及多电源接入的分布式配电网系统优化模型

郝文斌(),孟志高(),张勇,谢波,何凌云,彭攀,涂艳,胡一鸣   

  1. 国家电网四川省电力公司 成都供电公司,成都 610021
  • 收稿日期:2023-02-09 出版日期:2024-12-01 发布日期:2025-01-24
  • 通讯作者: 孟志高 E-mail:hwb760817@163.com;mengzhigao718@163.com
  • 作者简介:郝文斌(1976-),男,教授,博士.研究方向:电网规划及调度运行.E-mail:hwb760817@163.com
  • 基金资助:
    国网四川省电力公司成都供电公司科研项目(521904220001)

Optimization model of distribution network system by considering multi⁃types distributed power generation

Wen-bin HAO(),Zhi-gao MENG(),Yong ZHANG,Bo XIE,Ling-yun HE,Pan PENG,Yan TU,Yi-ming HU   

  1. Chengdu Power Supply Company,State Grid Sichuan Electric Power Company,Chengdu 610021,China
  • Received:2023-02-09 Online:2024-12-01 Published:2025-01-24
  • Contact: Zhi-gao MENG E-mail:hwb760817@163.com;mengzhigao718@163.com

摘要:

为了提高配网系统的供电可靠性,解决目前电能供给不足和产能成本较高等问题,针对含混合电源的配网系统进行了年度电力电量平衡分析。首先,采用场景树生成法对年内的风光负荷数据进行抽样选择,依据概率原理在每月中选取3个典型日以反映全年的风光发电和负荷特征。其次,考虑到风光电站、燃气轮机机组、蓄电池和连续、离散无功补偿装置的运行约束,建立了以年运行成本最低为目标的配电网系统优化模型,其优化求解问题为二阶锥规划模型,采用Yalmip优化求解工具对配网系统进行建模,并用Gurobi商业求解器对各典型日的电力电量平衡问题进行求解。基于成都市的太阳辐射、温度、风速、电力负荷等数据,以IEEE 33节点配网系统设计算例,最终实现年电力电量平衡的产能分布和经济性分析。

关键词: 电力电量平衡, 配电网规划, 风光发电, 场景分析

Abstract:

In order to improve the power supply reliability of the distribution network system, solve the current problems of insufficient power supply and high production cost, an annual power balance analysis was conducted for the distribution network system with hybrid power sources. First, the scene tree generation method was used to sample and select the wind power, photovoltaic, and load data within the year. Three typical days were selected in each month according to the probability principle to reflect the characteristics of wind and wind power generation and load throughout the year. Secondly, considering the operating constraints of wind and solar power plants, gas turbine units, batteries, and continuous and discrete reactive power compensation devices, an optimization model of the distribution network system was established to minimize with the goal of minimizing the annual operating cost. The optimization solution problem is a second-order cone programming model. The Yalmip optimization solution tool was used to model the distribution network system, and the Gurobi solver was used to solve the power balance problem of each typical day. Based on the solar radiation, temperature, wind speed, power load of Chengdu, the design example of the IEEE 33-node distribution network system is used to finally realize the production capacity distribution and economic analysis of the annual power balance.

Key words: power balance, distribution network planning, wind power and photovoltaic power, scene analysis

中图分类号: 

  • TM734

图1

2月份典型日光伏电站、风电场、电力负荷出力曲线"

图2

支路潮流模型"

图3

算法求解流程"

图4

IEEE 33节点"

表1

2月典型日产能"

典型日

场景

概率

光伏产能/ (MW·h-1风机产能/ (MW·h-1

燃气轮机

产能/(MW·h-1

10.428 578.966 10.160 719.257 1
20.392 8610.093 40.154 618.013 7
30.178 578.942 30.311 118.910 5

表2

6月典型日产能"

典型日

场景

概率

光伏产能/ (MW·h-1风机产能/ (MW·h-1燃气轮机产能/(MW·h-1
10.115.356 10.369 624.398 6
20.533 3315.397 20.204 925.518 4
30.366 6714.390 80.370 438.963 8

表3

12月典型日产能"

典型日

场景

概率

光伏产能/ (MW·h-1风机产能/ (MW·h-1燃气轮机产能/(MW·h-1
10.354 846.989 90.449 322.396 9
20.483 877.186 50.428 121.540 0
30.161 297.238 00.388 521.605 7

图5

典型日产能占比"

图6

典型日蓄电池荷电状态"

表4

各月典型日经济运行成本"

月份

风机发电

成本/元

光伏发电

成本/元

蓄电池运行成本/元燃气轮机运行成本/元总成本/元
运维成本/元

污染气体治理

成本/元

燃料成本/元

污染气体治理

成本/元

全年9 565.21334 866.37160 441.971 298.16 527 902.767 779 819.917 883 894.25
2153.1121 066.5814 035.436 237.14389 695.8246 552.5477 504.94
6113.3636 058.60473.19210.2778677 102.8984 349.5794 613.81
12704.717 670.151 454.52646.37504 051.6360 214.1584 741.47

图7

典型日电力电量生产和消耗"

表5

全年产能及经济对比"

机组产能/MW成本/元
光伏4 185.83334 866.4
风机170.539 565.21
燃气轮机8 774.147 307 722.7
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