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海上风电场自适应多目标无功优化控制策略

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针对传统固定权重多目标无功优化在应对新型电力系统复杂多变的工况时无法针对实时工况做出最合适的控制决策的问题,提出一种自适应多目标无功优化控制策略.该策略以系统有功网损和并网点电压偏离量的加权最小作为目标函数,目标函数的权重系数根据并网点电压的偏离情况自适应调节.首先,分析海上风电场并网点电压波动与有功、无功输出的关系,建立相应的无功分配模型,并针对风电机组及静止无功发生器(static var ge-nerator,SVG)的输入输出特性,建立相应的无功控制模型.此外,考虑海上运行的功率约束、安全运行约束等,采用变惯性权重粒子群优化算法对无功控制策略进行求解.最后,在MATLAB中搭建海上风电场模型进行仿真验证,仿真算例表明:相较于传统固定权重多目标无功优化,自适应多目标无功优化控制策略可以根据电网实时工况,迅速调整各优化目标的优先级,较好地实现有功网损和并网点电压的协调优化.
Adaptive multi-objective reactive power optimization control strategy for offshore wind farms
Aiming at the problem that traditional fixed-weight multi-objective reactive power optimization is unable to make the most suitable control decisions for real-time working conditions when dealing with the complex and changing working conditions of new power systems,an adaptive multi-objective reactive power optimization control strategy is proposed,which takes the weighted minimum of the deviation of the system active network loss and the voltage of the grid connection points as the objective function,and the weighting coefficients of the objective function are adaptively adjusted according to the deviation of the voltage of the grid connection points.The strategy takes the minimization of active network loss and the deviation of grid voltage as the objective function.Firstly,the relationship between voltage fluctuation at the grid-connected points of offshore wind farms and the active and reactive power outputs is analyzed to establish the corresponding reactive power allocation model,and the corresponding reactive power control model is established with respect to the input and output characteristics of the wind turbine and the static var generator(SVG).In addition,considering the power constraints and safe operation constraints of offshore operation,the variable inertia weight particle swarm optimization algorithm is used to solve the reactive power control strategy.Finally,the offshore wind farm model is built in MATLAB for simulation verification,and the simulation example shows that,compared with the traditional fixed-weight multi-objective reactive power optimization,the adaptive multi-objective reactive power optimization control strategy can quickly adjust the priority of each optimization objective according to the real-time working conditions of the grid,which can achieve the coordinated optimization of the active network loss and grid-connected point voltage.

offshore wind farmactive voltage supportmulti-objective adaptiveactive network lossesvoltage deviationreactive power optimizationparticle swarm algorithm

杨铎烔、俞靖一、葛俊、程凯、许一泽、杨苹

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南方电网数字电网研究院有限公司,广东广州 510336

阳江海上风电实验室,广东阳江 529500

华南理工大学广东省绿色能源技术重点实验室,广东广州 510640

海上风电场 电压主动支撑 多目标自适应 有功网损 电压偏离量 无功优化 粒子群算法

广东省重点领域研发计划南方电网数字电网研究院有限公司科技项目

2021B01012-30003670000KK52220011

2024

10.12158/j.2096-3203.2024.03.013

电力工程技术
江苏省电力公司 江苏省电机工程学会

电力工程技术

CSTPCD北大核心
影响因子：0.969
ISSN：2096-3203
年,卷(期)：2024.43(3)
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