电力需求侧管理2026，Vol.28Issue(5)：68-74,7.DOI:10.3969/j.issn.1009-1831.2026.05.010
新能源基地多类型无功补偿装置协同配置策略
Coordinated configuration strategy for multi-type reactive power compensators in renewable energy bases
摘要
Abstract
To address the lack of a unified metric for heterogeneous reactive-power resources in weak renewable-energy grids and the ab-sence of a voltage-security boundary when flexible resources are called for demand response,a coordinated configuration method is pro-posed.Transient voltage support,inertia contribution,and life-cycle cost are jointly considered.A multidimensional equivalent support-effi-ciency factor is first defined for a synchronous condenser(SC),grid-forming energy storage(GFMES),and a static var generator(SVG).The factor is then introduced as a virtual short-circuit-capacity weight to construct a generalized equivalent dynamic short-circuit ratio(GED-SCR).The sum of the corrected critical short-circuit ratio(CSCR)and a case-specific security margin is imposed as the strength constraint.Device locations and capacities are determined by a quantum genetic algorithm(QGA)and differential evolution(DE).A modi-fied IEEE 33-bus equivalent system is employed to evaluate the configuration.The GED-SCR of the critical buses increases from approxi-mately 1.1-1.6 to the range of 2.5-3.5;for Bus 25,the minimum voltage during the fault is significantly elevated,and the voltage recovery time is reduced to the millisecond scale.A security boundary for checking the available reactive-power capability of flexible demand-side re-sources before response activation is thereby provided;Demand-response scheduling itself is outside the scope of the configuration model.关键词
新能源基地/无功补偿/等效支撑效率因子/广义短路比/协同配置Key words
renewable energy base/reactive power compensation/equivalent support efficiency factor/generalized short-circuit ratio/syn-ergistic allocation分类
信息技术与安全科学引用本文复制引用
郭家豪,薛峰,刘震,林文莉,王小云,段玉..新能源基地多类型无功补偿装置协同配置策略[J].电力需求侧管理,2026,28(5):68-74,7.基金项目
高比例新能源电力系统下的电压源型风光储发电装置关键技术研发(2022A01004-5) （2022A01004-5）
2022年度第二批自治区重大科技专项(2022A01004) （2022A01004）
