电网技术
電網技術
전망기술
POWER SYSTEM TECHNOLOGY
2013年
5期
1323-1328
,共6页
马世英%刘道伟%吴萌%王虹富%董毅峰%王毅%张志强
馬世英%劉道偉%吳萌%王虹富%董毅峰%王毅%張誌彊
마세영%류도위%오맹%왕홍부%동의봉%왕의%장지강
广域测量系统%机组对%暂态稳定态势%量化评估
廣域測量繫統%機組對%暫態穩定態勢%量化評估
엄역측량계통%궤조대%잠태은정태세%양화평고
wide area measurement system%generator pair%transient stability situation%quantitative evaluation
为满足电网实时监控对算法速度和精度的要求,提出了一种基于广域测量系统(wide area measurement system, WAMS)及机组对的电网暂态稳定态势在线量化评估方法。该方法采用简化的发电机等效模型,根据相量测量装置(phasor measurement unit,PMU)量测信息在线跟踪辨识其参数。通过识别受扰相对最严重的机组对,进而可计算该机组对等效的相互作用机械和电磁有功功率,以此为基础提出了一种可直接反映轨迹暂态稳定裕度的量化指标。文中还给出了对WAMS采集轨迹信息的曲线拟合方法和能量型指标,以便快速预估未来暂态稳定性。并以单机无穷大系统为例,验证了可利用发电机端口外PMU有效测量信息间接评估电网整体暂态稳定态势的可行性。最后,面向实际工程给出了暂态稳定态势在线量化评估实施方案。理论分析与仿真测试结果表明了所提方法的有效性及工程可操作性。
為滿足電網實時鑑控對算法速度和精度的要求,提齣瞭一種基于廣域測量繫統(wide area measurement system, WAMS)及機組對的電網暫態穩定態勢在線量化評估方法。該方法採用簡化的髮電機等效模型,根據相量測量裝置(phasor measurement unit,PMU)量測信息在線跟蹤辨識其參數。通過識彆受擾相對最嚴重的機組對,進而可計算該機組對等效的相互作用機械和電磁有功功率,以此為基礎提齣瞭一種可直接反映軌跡暫態穩定裕度的量化指標。文中還給齣瞭對WAMS採集軌跡信息的麯線擬閤方法和能量型指標,以便快速預估未來暫態穩定性。併以單機無窮大繫統為例,驗證瞭可利用髮電機耑口外PMU有效測量信息間接評估電網整體暫態穩定態勢的可行性。最後,麵嚮實際工程給齣瞭暫態穩定態勢在線量化評估實施方案。理論分析與倣真測試結果錶明瞭所提方法的有效性及工程可操作性。
위만족전망실시감공대산법속도화정도적요구,제출료일충기우엄역측량계통(wide area measurement system, WAMS)급궤조대적전망잠태은정태세재선양화평고방법。해방법채용간화적발전궤등효모형,근거상량측량장치(phasor measurement unit,PMU)량측신식재선근종변식기삼수。통과식별수우상대최엄중적궤조대,진이가계산해궤조대등효적상호작용궤계화전자유공공솔,이차위기출제출료일충가직접반영궤적잠태은정유도적양화지표。문중환급출료대WAMS채집궤적신식적곡선의합방법화능량형지표,이편쾌속예고미래잠태은정성。병이단궤무궁대계통위례,험증료가이용발전궤단구외PMU유효측량신식간접평고전망정체잠태은정태세적가행성。최후,면향실제공정급출료잠태은정태세재선양화평고실시방안。이론분석여방진측시결과표명료소제방법적유효성급공정가조작성。
To meet the demand of power network real-time monitoring on calculation speed and accuracy of the algorithm, an online quantitative evaluation method of power system transient stability situation based on WAMS and generator pair is proposed. Using simplified equivalent model of generator and measured data by PMU, online tracking and identification of generator parameters are implemented. By means of identifying the generator pair that is disturbed relatively most seriously, the equivalent interactional mechanical and electromagnetic power of the generator pair can be calculated, and on this basis a quantitative transient stability index that can directly reflect trajectory transient stability margin is put forward. In addition, a curve fitting method for trajectory information collected by WAMS and energy index to fast predict system transient stability are given to quickly forecast transient stability in future. Taking a one-machine infinitive bus system as the test system, the feasibility of indirectly evaluating overall transient stability situation of power system by utilizing effectively measured data from PMU outside generator bus is validated. Finally, an actual project oriented implementation scheme for online quantitative evaluation of transient stability situation is given. Results of theoretical analysis and simulation tests show that the proposed method is effective and can be applied in engineering practice.