Y. Bostani; S. Jalilzadeh
Abstract
This paper presents the mitigation of subsynchronous resonance (SSR) based on wide-area wide-area fuzzy controller in power systems including a double-fed induction generator (DFIG)-based wind farms linked to series capacitive compensated transmission networks. SSR damping is achieved by adding the fuzzy ...
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This paper presents the mitigation of subsynchronous resonance (SSR) based on wide-area wide-area fuzzy controller in power systems including a double-fed induction generator (DFIG)-based wind farms linked to series capacitive compensated transmission networks. SSR damping is achieved by adding the fuzzy controller as a supplementary signal at the stator voltage loop of the grid-side converter (GSC) of doubly-fed induction generator (DFIG)-based wind farms. In addition, delays due to communication signals are important in using WAMS. If these delays are ignored, it causes system instability. In this paper, the delays are modeled with a separate fuzzy input to the controller. The effectiveness and efficiency of the WAMS-based fuzzy controller has been demonstrated by comparison with the particle swarm optimization (PSO), and imperialist competitive algorithm (ICA) optimization methods. The effectiveness and validity of the proposed Auxiliary damping control are verified on a modified version of the IEEE second benchmark model including DFIG-based wind farms via time simulation analysis by using MATLAB/Simulink.
Energy Management
N. Eskandari; S. Jalilzadeh
Abstract
On typical medium voltage feeder, Load side management means power energy consumption controlling at connected loads. Each load has various amount of reaction to essential parameters variation that collection of these reactions is mentioned feeder behavior to each parameter variation. Temperature, humidity, ...
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On typical medium voltage feeder, Load side management means power energy consumption controlling at connected loads. Each load has various amount of reaction to essential parameters variation that collection of these reactions is mentioned feeder behavior to each parameter variation. Temperature, humidity, and energy pricing variation or major event happening and power utility announcing to the customers are essential parameters that are considered at recent researches. Depends on amount of improvement that each changeable parameters effect on feeder load consumption, financial assets could be managed correctly to gain proper load side management. Collecting feeder loads behavior to all mentioned parameters will gain Load Manageability Factor (LMF) that helps power utilities to manage load side consumption. Calculating this factor needs to find out each types of load with unique inherent features behavior to each parameters variation. This paper and future works will help us to catch mentioned LMF. In this paper analysis of typical commercial feeder behavior due to temperature and humidity variation with training artificial neural network will be done. Load behavior due to other essential parameters variations like energy pricing variation, major event happening, and power utility announcing to the customers, and etc will study in future works
Power Electronic
S. Jalilzadeh; M. Pakdel
Abstract
This paper presents a soft-switching DC-DC boost converter, which can be utilized in renewable energy systems such as photovoltaic array, and wind turbine connections to infinite bus of a big power network, using grid connected inverters. In the proposed topology for the DC-DC boost converter, the main ...
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This paper presents a soft-switching DC-DC boost converter, which can be utilized in renewable energy systems such as photovoltaic array, and wind turbine connections to infinite bus of a big power network, using grid connected inverters. In the proposed topology for the DC-DC boost converter, the main and the auxiliary power switches are turned on and turned off with zero voltage switching (ZVS) and zero current switching (ZCS), respectively. Furthermore, by applying soft-switching techniques to driving power switches, the power losses and stresses associated with commutation of power devices decrease significantly. The efficiency of the proposed soft-switched DC-DC converter at various output powers is compared with that of the traditional DC-DC converter and a few topologies proposed in recent literature. This comparison indicates that the proposed DC-DC boost converter is much more efficient around the rated power (1 kW). The power topology and the control strategy applied to the proposed soft-switched DC-DC boost converter, which is connected to a grid-tied inverter, are analyzed theoretically by simulation studies. Moreover, an experimental prototype is implemented to verify the theoretical analysis and the simulation studies.
