中国电机工程学报
中國電機工程學報
중국전궤공정학보
ZHONGGUO DIANJI GONGCHENG XUEBAO
2015年
16期
4102-4111
,共10页
秦文萍%任琛%韩肖清%王鹏%刘志娟
秦文萍%任琛%韓肖清%王鵬%劉誌娟
진문평%임침%한초청%왕붕%류지연
负荷波动%概率潮流%拉丁超立方抽样%电压稳定性%风险评估
負荷波動%概率潮流%拉丁超立方抽樣%電壓穩定性%風險評估
부하파동%개솔조류%랍정초립방추양%전압은정성%풍험평고
load fluctuation%probabilistic load flow%Latin hypercube sampling%voltage stability%risk assessment
电力系统运行中存在大量不确定性,针对系统负荷波动极限情况,该文从电压、负荷节点类型、网络负荷承受能力等不同角度提出电压稳定性风险评估指标,综合确定系统的薄弱区II.将基于拉丁超立方抽样(Latin hypercube sampling,LHS)的概率潮流(probabilistic load flow,PLF)模拟法应用于电压稳定性风险评估,结合 N?1故障分析法,对由于不同负荷波动引起的崩溃状态进行研究,分析崩溃时负荷及节点电压的分布并绘制相应分布曲面,考察系统崩溃的可能性和严重性,以及负荷波动对各节点电压的影响.以IEEE 30节点系统以及中国山西省太-市220kV实际电网为例进行验证.结果表明:所提方法找到了系统崩溃时负荷、节点电压、系统负荷总量的分布规律.所提指标具有正确性、一致性,在实际应用中具有可行性.
電力繫統運行中存在大量不確定性,針對繫統負荷波動極限情況,該文從電壓、負荷節點類型、網絡負荷承受能力等不同角度提齣電壓穩定性風險評估指標,綜閤確定繫統的薄弱區II.將基于拉丁超立方抽樣(Latin hypercube sampling,LHS)的概率潮流(probabilistic load flow,PLF)模擬法應用于電壓穩定性風險評估,結閤 N?1故障分析法,對由于不同負荷波動引起的崩潰狀態進行研究,分析崩潰時負荷及節點電壓的分佈併繪製相應分佈麯麵,攷察繫統崩潰的可能性和嚴重性,以及負荷波動對各節點電壓的影響.以IEEE 30節點繫統以及中國山西省太-市220kV實際電網為例進行驗證.結果錶明:所提方法找到瞭繫統崩潰時負荷、節點電壓、繫統負荷總量的分佈規律.所提指標具有正確性、一緻性,在實際應用中具有可行性.
전력계통운행중존재대량불학정성,침대계통부하파동겁한정황,해문종전압、부하절점류형、망락부하승수능력등불동각도제출전압은정성풍험평고지표,종합학정계통적박약구II.장기우랍정초립방추양(Latin hypercube sampling,LHS)적개솔조류(probabilistic load flow,PLF)모의법응용우전압은정성풍험평고,결합 N?1고장분석법,대유우불동부하파동인기적붕궤상태진행연구,분석붕궤시부하급절점전압적분포병회제상응분포곡면,고찰계통붕궤적가능성화엄중성,이급부하파동대각절점전압적영향.이IEEE 30절점계통이급중국산서성태-시220kV실제전망위례진행험증.결과표명:소제방법조도료계통붕궤시부하、절점전압、계통부하총량적분포규률.소제지표구유정학성、일치성,재실제응용중구유가행성.
There is a lot of uncertainty in power system operation. Considering the limit of load fluctuation,different voltage stability risk assessment indicators were proposed to identify the weak areas of the system,which were from voltage, node type and network load bearing capacity point of view. The probabilistic load flow based on Latin hypercube sampling was applied to the risk assessment of voltage stability. Combined with the N?1 fault analysis method, the collapse states of power system caused by different load fluctuation were researched .The distributions of load and node voltage at those states were analyzed and the corresponding distribution surfaces were drew for discussing the possibility and seriousness of the collapse states of power system and the influence of load fluctuation to the node voltage. The validity of proposed method was tested on IEEE 30 bus system and a practical 220 kV Taiyuan power system in Shanxi Province of China. The simulation results show that the proposed method find the distributions of load, node voltage, total load under the states of system collapse. And the proposed indicators are correct, consistent and feasible in application.