Wind Farm Power Optimization and Fault Ride-Through under Inter-Turn Short-Circuit Fault

Abstract

Inter-Turn Short Circuit (ITSC) fault in stator winding is a common fault in Doubly-Fed Induction Generator (DFIG)-based Wind Turbines (WTs). Improper measures in the ITSC fault affect the safety of the faulty WT and the power output of the Wind Farm (WF). This paper combines derating WTs and the power optimization of the WF to diminish the fault effect. At the turbine level, switching the derating strategy and the ITSC Fault Ride-Through (FRT) strategy is adopted to ensure that WTs safely operate under fault. At the farm level, the Particle Swarm Optimization (PSO)-based active power dispatch strategy is used to address proper power references in all of the WTs. The simulation results demonstrate the effectiveness of the proposed method. Switching the derating strategy can increase the power limit of the faulty WT, and the ITSC FRT strategy can ensure that the WT operates without excessive faulty current. The PSO-based power optimization can improve the power of the WF to compensate for the power loss caused by the faulty WT. With the proposed method, the competitiveness and the operational capacity of offshore WFs can be upgraded.

Fault-Tolerant Cooperative Control of Large-Scale Wind Farms and Wind Farm Clusters

“…[16] Adaptive FTC using barrier Lyapunov function Active power control during actuator fault [17] Particle swarm optimization Accommodation of the generator fault effects at farm level [18,19] FTCC using fuzzy logic at farm level Accommodation of mild power-loss faults caused by turbine blade erosion and debris build-up on the blades [20,21] FTCC using adaptive PI control at turbine level and control reallocation at farm level Accommodation of mild and severe power loss faults caused by turbine blade erosion and debris build-up on the blades [22] It should be noted that the effective implementation of the presented scheme in [22] for a large-scale wind farm or WFC, where the number of wind turbines becomes quite large, turns to be complex or computationally expensive due to the increased number of modules required in the scheme (i.e., each module monitors the power consistency between two different turbines in the wind farm). To overcome these issues when dealing with very large-scale wind farms or WFCs, the present paper proposes a novel clustering approach to enable a computationally efficient multilayer FTCC scheme which provides effective fault identification and accommodation performance with simplified computer programming.…”

“…The particle swarm optimization (PSO) approach is used in [18] for optimal active power dispatch in a wind farm during generator cooling system faults. A PSO-based active power dispatch method is introduced in [19] to accommodate the fault effects (i.e., inter-turn short circuit faults in wind turbines generators) at the farm level.…”

Fault-Tolerant Control of a Wind Turbine Generator Based on Fuzzy Logic and Using Ensemble Learning

“…In [28], the authors proposed the use of a Neural Network to optimize key control parameters. In the same line, applied to FTC [29] applied Particle Swarm Optimization (PSO) to FTC to optimize the derating power in Inter-Turn Short Circuit (ITSC) faulty wind turbines. Both methodologies required access to the actual control loop parameters.…”

“…Both proposed an adjustment of the generator control loop. The authors of [29] introduced two levels of FTC approach, one at the turbine level using a derating strategy, and a second approach at the wind farm level using an Optimal Power Dispatch Strategy (OPDS) combined with ITSC Fault Ride-Through (FRT). At the farm level, PSO was used to address proper references in all WTs.…”

Electrical Load Prediction Using Interval Type-2 Atanassov Intuitionist Fuzzy System: Gravitational Search Algorithm Tuning Approach

“…Renewable energy sources such as solar energy [5], wind power [6] and offshore energy [7] further increase the complexity and make predictions even more difficult due to their natural power fluctuations. Soft sensors technology [8] can estimate solar irradiation [5] which may contribute to decreasing the uncertainty introduced by this source of energy to the overall power system.…”