Abstract

With large scale wind integration and increasing wind penetration in power systems, relying solely on conventional generators for frequency control is not enough to satisfy system frequency stability requirements. It is imperative that wind power have certain capabilities to participate in frequency control by cooperating with conventional power sources. Firstly, a multi-area interconnected power system frequency response model containing wind power clusters and conventional generators is established with consideration of several nonlinear constraints. Moreover, a distributed model predictive control (DMPC) strategy considering Laguerre functions is proposed, which implements online rolling optimization by using ultra-short-term wind power forecasting data in order to realize advanced frequency control. Finally, a decomposition-coordination control algorithm considering Nash equilibrium is presented, which realizes online fast optimization of multivariable systems with constraints. Simulation results demonstrate the feasibility and effectiveness of the proposed control strategy and algorithm.

Highlights

  • As a significant and mature renewable energy generation technology, wind power has been extensively applied in China, and nowadays there are many large scale wind power systems integrated into the power supply

  • model predictive control (MPC), is assumed that among differentthe load step disturbances occur in threecentralized areas

  • In order to solve the problem that conventional generators cannot guarantee frequency stability alone with large-scale wind power integration, this paper establishes a multi-area interconnected system frequency response model containing conventional generators and wind power clusters

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Summary

Introduction

As a significant and mature renewable energy generation technology, wind power has been extensively applied in China, and nowadays there are many large scale wind power systems integrated into the power supply. In order to guarantee secure and stable operation of power systems, it is urgent to research how wind power clusters could actively participate in system frequency control [1,2,3,4,5,6]. Both domestic and foreign studies can mainly be classified into three categories according to their spatial level: wind turbine, wind farm and wind power cluster [7]. At the wind turbine level, frequency control research is relatively mature enough, mainly including rotor inertia control [8,9,10], rotor over-speed control [11,12], pitch control [13,14] and composite control [15,16]

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