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新能源接入下电网调峰机组负荷优化配置方法研究

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新能源接入电网会令调峰机组负荷产生较大波动,导致电网运行安全性和稳定性下降.研究新能源接入下电网调峰机组负荷优化配置方法.分析新能源在电网中的接入问题,获取新能源接入量与电网调峰机组深度调峰之间的关系.根据相关关系分析结果,建立电网调峰机组负荷优化配置目标函数.将负荷率、功率平衡、机组出力、输出功率作为约束条件.利用多目标粒子群算法求解电网调峰机组负荷优化配置目标函数,以获取目标函数最优解.根据最优解实现电网调峰机组负荷优化配置.试验结果表明,该方法应用后的风光电发电受阻量低、火电机组和风电场出力高,电网调峰机组负荷优化配置效果好.该方法可以广泛应用在机组负荷优化配置领域,以保证电网运行的安全性和稳定性.
Research on Grid Peaking Unit Load Optimization Allocation Method under New Energy Access
New energy access to the power grid will cause large fluctuations in the peaking unit load,resulting in a decrease in the security and stability of power grid operation.The grid peaking unit load optimization allocation method under new energy access is studied.The access problem of new energy in the power grid is analyzed and the relationship between new energy access and the depth of peaking unit peaking of the power grid is obtained.Based on the results of the correlation analysis,the objective function of grid peaking unit load optimization allocation is establised.Load rate,power balance,unit output,and output power are taken as constraints.The multi-objective particle swarm algorithm is used to solve the objective function of optimal allocation of grid peaking unit load and obtain the optimal solution of the objective function.According to the optimal solution,the optimal allocation of grid peaking unit load is realized.The experimental results show that after the application of this method,the amount of wind solar power generation blocked is low,the output of thermal power units and wind power farms is high,and the optimal allocation of grid peaking unit load is effective.The method can be widely used in the field of unit load optimization allocation to ensure the security and stability of grid operation.

New energy accessGrid peaking unitLoad optimization allocationObjective functionPower balanceUnit outputMulti-objective particle swarm algorithm

周倩、汤林、冯凯辉、宋晨辉、宋兆欧

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国网重庆市电力公司,重庆 400000

国网重庆市区供电公司,重庆 400000

国网能源研究院有限公司,北京 102209

国网重庆市北供电公司,重庆 400000

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新能源接入 电网调峰机组 负荷优化配置 目标函数 功率平衡 机组出力 多目标粒子群算法

2024

自动化仪表
中国仪器仪表学会 上海工业自动化仪表研究院

自动化仪表

CSTPCD
影响因子:0.655
ISSN:1000-0380
年,卷(期):2024.45(3)
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