Stand-Alone Wind Power Generation using Adaline Based Integrated Electronic Load Controller

Wind power is clean, economical and environmentally friendly. It is promising alternative electric power generation source at the time of unavailability of fossil fuel and reduces concern over the harmful effects of climate change due to excessive pollution caused by use of fossil fuels. This paper proposes the adaptive linear element (adaline) algorithm based integrated electronic load controller for an isolated windturbine-driven power generation. The adaline extracts the fundamental component of load current to control the voltage and frequency of generator with balancing loads in an integrated manner. The IELC is realized using zigzag/three single-phase transformers and a six-leg insulated-gate bipolar-transistor-based current controlled voltage-source converter, a chopper switch, and an auxiliary load on its dc bus. The generating system is modeled and simulated in MATLAB environment using Simulink and Simpower System toolboxes. Keywords: Integrated Electronic Load Controller (IELC), Voltage and Frequency Control, Adaptive linear element (ADALINE), Wind Turbine, Wind Power, Wind Farm (WF)

Implementation of Neural Network Based Least Mean Square Algorithm with PID-VPI Controller and Integrated Electronic Load Controller for Isolated Asynchronous Small Hydro Generation

The Hydro power is recognized as the promising and widely used renewable source of energy for power generation in large scale, it is gaining popularity due to rising rate of depletion as well as increasing cost of fossil fuels. The Hydro power is very economical in case of run-of-the-river scheme, and environmental friendly keeping in mind the harmful effect of fossil fuels on the climate change. This paper deals with neural network (NN) based least mean square (LMS) algorithm known as adaptive linear element (ADALINE) algorithm, with PID-VPI controller for isolated asynchronous generator (IAG) with integrated electronic load controller (IELC) in small hydro generation feeding three-phase four-wire nonlinear load with neutral-current compensation. The integrated electronic load controller (IELC) is based on zigzag/three single-phase transformers and a six-leg insulated-gate bipolar-transistor-based current-controlled voltage-source converter, a chopper switch, and an auxiliary load on its dc bus. The integrated electronic load controller (IELC) utilizes Adaptive linear element (Adaline) to extract the positive-sequence fundamental-frequency component of load current to obtain load balancing in integrated manner and to control the voltage and frequency of the isolated asynchronous generator (IAG). Non-linear loads are considered for critical evaluation of system, as they have the capability to introduce harmonics that are deleterious for any system. The propound system is modeled and simulated in MATLAB environment to demonstrate the effectiveness of the proposed integrated electronic load controller for the control of isolated asynchronous generator. Keywords:Neural Network (NN), Least Mean Square (LMS), Adaptive Linear Element (ADALINE) Proportional integral derivative controller (PID), Vector proportional integral controller (VPI), integrated electronic load controller (IELC), isolated asynchronous generator (IAG), small hydro generation, voltage-source converter (VSC), voltage and frequency control

Performance of Wind Farm Employing Type-4 Wind Turbine with D-Statcom

Wind power is environmentally friendly and cost-predictable nature. It is widely recognized as a promising alternative electric power generation source at a time of uncertain fossil fuel costs and concern over the harmful effects of climate change. Various problems arise due to the rapid injection of wind power in the electrical grid, affecting the power quality. Harmonics and various power quality problems like voltage sag and swell are of common occurrence due to the voltage injected by the wind generators in the electrical grid. These may result into severe problems such as system frequency mismatch and change in power line capability. To reduce such problems a distributed static compensator (DSTATCOM) is employed.  The DSTATCOM is an effective way of reducing power quality problems, removing the wind speed fluctuations and improving the transient stability of wind farm. Simulation results show the proposed effectiveness of wind farm stability and power quality. The generating system is modeled and simulated in MATLAB environment using Simulink and Simpower System toolboxes. Keywords: Wind Farms (WF), Wind Energy, Distributed static compensator (DSTATCOM