000924990 000__ 03099cam\a2200481Ia\4500 000924990 001__ 924990 000924990 005__ 20230306151205.0 000924990 006__ m\\\\\o\\d\\\\\\\\ 000924990 007__ cr\un\nnnunnun 000924990 008__ 200201s2020\\\\sz\\\\\\o\\\\\000\0\eng\d 000924990 019__ $$a1137828495$$a1139151593 000924990 020__ $$a9783030377861$$q(electronic book) 000924990 020__ $$a3030377865$$q(electronic book) 000924990 020__ $$z9783030377854 000924990 020__ $$z3030377857 000924990 0247_ $$a10.1007/978-3-030-37 000924990 035__ $$aSP(OCoLC)on1138029871 000924990 035__ $$aSP(OCoLC)1138029871$$z(OCoLC)1137828495$$z(OCoLC)1139151593 000924990 040__ $$aEBLCP$$beng$$cEBLCP$$dGW5XE$$dEBLCP$$dLQU$$dLEATE$$dYDX 000924990 049__ $$aISEA 000924990 050_4 $$aTK1010 000924990 050_4 $$aQC71.82-73.8 000924990 08204 $$a621.319$$223 000924990 1001_ $$aZhu, Yue. 000924990 24510 $$aPower system loads and power system stability /$$cYue Zhu. 000924990 260__ $$aCham :$$bSpringer,$$c2020. 000924990 300__ $$a1 online resource (185 pages). 000924990 336__ $$atext$$btxt$$2rdacontent 000924990 337__ $$acomputer$$bc$$2rdamedia 000924990 338__ $$aonline resource$$bcr$$2rdacarrier 000924990 4901_ $$aSpringer Theses 000924990 500__ $$a"Doctoral thesis accepted by the University of Manchester, Manchester, UK." 000924990 5050_ $$aIntroduction -- Power System Load Models and Load Modelling -- Power System Stability Indices -- Probabilistic Assessment and Sensitivity Analysis in Stability Studies -- Load Model Parameter Ranking for Different Types of Power System Stability Studies -- Factors Affecting Load Model Parameter Ranking -- Required Accuracy Level of Critical Load Model Parameters -- Conclusions and Future Work. 000924990 506__ $$aAccess limited to authorized users. 000924990 520__ $$aThis thesis develops a pioneering methodology and a concept for identifying critical loads and load model parameters in large power networks based on their influence on power system stability. The research described in the thesis first develops an automatic load modelling tool (ALMT) that can be used to automatically build load model from actual measured power system data without human intervention and the benefits of the ALMY are explored. Secondly, it develops a pioneering framework based on Morris screening method for ranking power system load model parameters based on their influence on overall power system stability (voltage, frequency, transient and small disturbance stability) considering different load models and loading conditions. Thirdly, a novel probabilistic methodology for determining the accuracy levels of critical load model parameters has been developed. This book will be of interest to students and researchers within the field of electrical engineering, as well as industry professionals. 000924990 588__ $$aDescription based on print version record. 000924990 650_0 $$aElectric power system stability. 000924990 77608 $$iPrint version:$$aZhu, Yue$$tPower System Loads and Power System Stability$$dCham : Springer,c2020$$z9783030377854 000924990 830_0 $$aSpringer theses. 000924990 852__ $$bebk 000924990 85640 $$3SpringerLink$$uhttps://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-3-030-37786-1$$zOnline Access$$91397441.1 000924990 909CO $$ooai:library.usi.edu:924990$$pGLOBAL_SET 000924990 980__ $$aEBOOK 000924990 980__ $$aBIB 000924990 982__ $$aEbook 000924990 983__ $$aOnline 000924990 994__ $$a92$$bISE