CAJ | 학술논문

分析和测算了间歇式电源的自动发电控制(AGC)容量需求，运用拉丁超立方抽样生成风电场景并进行削减，基于马尔可夫链对系统N-1故障的不确定性概率进行预测。在此基础上，兼顾机组组合、机组功率分配以及 AGC与备用容量分层协调优化配置等问题，建立了考虑间歇式电源与储能的随机柔性优化调度模型。所提方法与模型综合考虑了系统N-1故障和间歇式电源的不确定性概率与严重性、系统 AGC与备用容量辅助服务成本、储能系统剩余可充放电能力以及网络约束的影响。针对该模型的复杂性，将其线性化后采用商用混合整数线性规划求解器 CPLEX 进行求解。通过IEEE 6节点和IEEE 39节点系统算例验证了所提方法的有效性。
분석화측산료간헐식전원적자동발전공제(AGC)용량수구，운용랍정초립방추양생성풍전장경병진행삭감，기우마이가부련대계통N-1고장적불학정성개솔진행예측。재차기출상，겸고궤조조합、궤조공솔분배이급 AGC여비용용량분층협조우화배치등문제，건립료고필간헐식전원여저능적수궤유성우화조도모형。소제방법여모형종합고필료계통N-1고장화간헐식전원적불학정성개솔여엄중성、계통 AGC여비용용량보조복무성본、저능계통잉여가충방전능력이급망락약속적영향。침대해모형적복잡성，장기선성화후채용상용혼합정수선성규화구해기 CPLEX 진행구해。통과IEEE 6절점화IEEE 39절점계통산례험증료소제방법적유효성。
With an analysis and estimation of the automatic generation control (AGC) capacity demand on intermittent power, wind power scenario is generated by Latin hypercube sampling and reduced later.And also,the uncertainty probability of system N-1 fault is forecasted by Markov chain.On this basis,a flexible stochastic optimal scheduling model considering intermittent power and energy storage is developed,while the unit commitment,unit power distribution and hierarchical coordinated and optimal configuration of the AGC and reserve capacity are taken into account.The proposed approach and model take into account the uncertainty probability and severity of the system N-1 fault and intermittent power,the cost of AGC and reserve capacity ancillary services,the remaining charge and discharge ability of energy storage devices,as well as the network constraints.This complicated model is linearized and solved by commercial mixed-integer linear programming solver CPLEX.The numerical cases of IEEE 6-bus and IEEE 3 9-bus system have illustrate the validity of the approach proposed.