Benutzerdefiniertes Cover
Stability-constrained optimization for modern power system operation and planning / Yan Xu, Nanyang Technological University, Singapore, Yuan Chi, Chongqing University, China, Heling Yuan, Nanyang Technological University, Singapore
Mitwirkende(r): Resource type: Ressourcentyp: Buch (Online)Buch (Online)Sprache: Englisch Reihen: IEEE Press series on power and energy systems ; 124Verlag: Hoboken, New Jersey : John Wiley & Sons, Inc, 2023Beschreibung: 1 Online-Ressource (xxiii, 464 pages) : illustrations (some color)ISBN:- 1119848881
- 9781119848899
- 111984889X
- 9781119848875
- 1119848873
- 9781119848882
- 621.319 23/eng/20230214
- TK1010
Inhalte:
Zusammenfassung: "This book focuses on the subject of power system stability. The stability of a power system is referred to as its ability, for a given initial operating condition, to regain a state of operating equilibrium after being subjected to a physical disturbance (such as a short-circuit fault). In general, the stability of the power system depends on both its dynamic characteristics (i.e., how the system would behave in response to a disturbance) and steady-state operating condition (i.e., how the power system is dispatched). In practice, to maintain and enhance the stability of the power system, one needs to 1 accurately model and analyze the power system's dynamic characteristics, and then design real-time controllers to ensure that the power system This book focuses on the subject of power system stability. The stability of a power system is referred to as its ability, for a given initial operating condition, to regain a state of operating equilibrium after being subjected to a physical disturbance (such as a short-circuit fault). In general, the stability of the power system depends on both its dynamic characteristics (i.e., how the system would behave in response to a disturbance) and steady-state operating condition (i.e., how the power system is dispatched). In practice, to maintain and enhance the stability of the power system, one needs to 1 accurately model and analyze the power system's dynamic characteristics, and then design real-time controllers to ensure that the power system can behave well under disturbances; 2 dispatch the power system in a way that it can better withstand the disturbances, and 3 reinforce the power system with advanced devices such as FACTS to enhance its capability to withstand disturbances. While the first approach involves dynamic modeling, stability analysis, and controller design, the latter two require advanced optimization methods to optimally operate (dispatch) the power system and determine the best size and site of such devices for maximum cost-effectiveness. The existing books on this subject are focused on the first approach with power system dynamic modeling, stability analysis, and controller design, while there are no books dedicated to the latter two approaches which are realized by advanced optimization.--PPN: PPN: 1882627229Package identifier: Produktsigel: ZDB-4-NLEBK | BSZ-4-NLEBK-KAUB
Power System Stability
Mathematical Models and Analysis Methods for Power System Stability
Recent Large-Scale Blackouts in the World
Power System Operation and Optimization Models
Transient Stability-Contrained Optimal Power Flow (TSC-OPF)
Hybrid Method for Transient Stability-Constrained Optimal Power Flow
Data-Driven Method for Transient Stability-Contrained Optimal Power Flow
Transient Stability-Constrained Unit Commitment (TSCUC)
Transient Stability-Constrained Optimal Power Flow under Uncertainties
Optimal Generation Rescheduling for Preventive Tansient Stability Control
Preventive-Corrective Coordinated Tansient Stability-Constrained Optimal Power Flow under Uncertain Winder Power
Robust Coordination of Preventive Control and Emergency Control for Transient Stability Enhancement under Uncertain Wind Power -- Dynamic VAR Resource Planning for Voltage Stability Enahncement
Voltage Stability Indices
Dynamic VAR Resource
Candidate Bus Selection for Dynamic VAR Resource Allocation
Multi-objective Dynamic VAR Resource Planning
Retirement-Driven Dynamic VAR Resource Planning
Multi-stage Coordinated Dynamic VAR Resource Planning
Many-objective Robust Optimization-based Dynamic VAR Resource Planning
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