1,720,996 research outputs found
Implementation of Primary Frequency Regulation on Fully Rated Wind Turbine Generators
No full textThe increased integration of wind generation via high power converters imposses numerous gauntlet to the management and control of modern power systems. One of them is caused by the decoupling effect between the power sources from the AC grid. It negatively impacts the system frequency response of modern power systems. This paper proposes a controller to enable the primary frequency regulation on fully rated wind turbine generators. The proposed controller is designed to enable primary frequency response mimiquing the classical syncrhonous generator controles. It includes a droop control and an other to enable the inertia response. Simulations on a test system are used to examine the frequency response provided by the prioposed strategy. The most important contributions of this paper is to demonstrate there is an actual limit value of the synthetic inertia gain that can be used in the controllers and that it is dependent on the system frequency noise
Sizing and Siting of Energy Storage Systems for Mitigating Forecast Mismatch in Transmission Grid
No full textThe rise of renewable energy sources (RESs) and load demand implies the research of suitable solutions to improve the operation of transmission systems. The accelerated development of battery technologies heightens interest in installing battery energy storage systems (BESSs) for the provision of different grid-support services to transmission networks. In this context, the present paper proposes a methodology to size and site BESSs on a transmission system to face RESs and load mismatches. The approach involves an analytic hierarchy process to rank a set of candidate buses, and a time-series hosting capacity analysis to determine the maximum BESS size at each node. Furthermore, BESS operation's potential revenue along with network benefits, through a centralised control strategy, are assessed. The method is tested on an IEEE 39-bus system modified version
Evaluation of inertial response controllers for full-rated power converter wind turbine (Type 4)
Full text link© 2016 IEEE. One of the main challenges in future power systems is the enormous integration of generation units using high power converters as interface, it decouples new power sources from the AC power grid, incapacitating a natural frequency response. This situation decreases the total system inertia affecting the ability of power system to overcome system frequency's disturbances. This paper evaluates two inertial controller for full-rated power converter wind turbines, Type 4: (A) releasing hidden inertia controller and (B) fast power reserve emulation. Simulations over a test system are used for a preliminary evaluation of the mentioned inertial controllers. The main contribution of this paper is to demonstrate the main differences between system frequency response (SFR) obtained by each inertial controller and how important is to match wind turbine and system characteristic to improve the SFR
Steady-state assessments of PMSGs in wind generating units
Full text linkThe number of fully-rated converter wind turbine generators equipped with a Permanent Magnet Synchronous Generator (PMSG) has sensibly increased in the late years. The optimal utilization and controllability of a PMSG is achieved using a Pulse Width Modulation – Voltage Source Converter (PWM-VSC) that allows interfacing the electric machine with the distribution network by means of a DC link. The generator/Machine-Side Converter (MSC) controls the operation of the PMSG. This paper proposes a methodology to assess the feasibility of the steady-state working points of PMSG based wind turbines without running a set of time-consuming time-domain simulations. Three control objectives for MSC are usually considered: stator voltage control, unitary power factor control and torque control. The aim of the present paper is that of providing an analytical methodology to check the feasibility of the steady-state working points dictated by different control strategies of the MSC starting from the specific operational constraints provided by the wind power plants characteristics. The effectiveness of the proposed methodology is demonstrated comparing numerical results of a MATLAB® implementation against dedicated time-domain simulations. Simulations results demonstrated the appropriate performance of the proposed methodology characterized by the almost negligible computational time required
MVMO-based approach for optimal placement and tuning of supplementary damping controller
No full textThis paper introduces an approach based on the Swarm Variant of the Mean-Variance Mapping Optimization (MVMO-S) to solve the multi-scenario formulation of the optimal placement and coordinated tuning of power system supplementary damping controllers (POCDCs). The effectiveness of the approach is evaluated based on the classical IEEE 39-bus (New England) test system. Numerical results include performance comparisons with other metaheuristic optimization techniques, namely, comprehensive learning particle swarm optimization (CLPSO), genetic algorithm with multi-parent crossover (GA-MPC), differential evolution DE algorithm with adaptive crossover operator, linearized biogeography-based optimization with reinitialization (LBBO), and covariance matrix adaptation evolution strategy (CMA-ES).Electrical Sustainable EnergyElectrical Engineering, Mathematics and Computer Scienc
A Modified Version of the IEEE 39-bus Test System for the Day-Ahead Market
Full text linkReaching net-zero emissions within the proposed time requires an enormous effort from the energy sector, and it is even more challenging for the electricity infrastructure. This article offers a modified version of the IEEE 39-bus system specifically created to allow zonal day-ahead market (ZDAM) simulations. The system representation is based on the original version of the IEEE 39-bus system but considers the integration of renewable energy resources (RES) in the generation mix: solar and wind. Hourly time series are used to define load profiles and wind and solar power generation. The zonal dayahead energy market information has been created by solving the optimisation problem. Numerical results of the proposed power test system are provided for the yearly ZDAM and steady-state performance, in N and N-l conditions, respectively, through Pyomo and DIgSILENT PowerFactory features
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