电力系统自动化2013，Vol.37Issue(1)：103-109,7.DOI:10.7500/AEPS201206177
实时平抑风电场功率波动的电池储能系统优化控制方法
An Optimization Control Method of Battery Energy Storage System with Wind Power Fluctuations Smoothed in Real Time
摘要
Abstract
This paper presents a novel model predictive control (MPC) based coordinated control algorithm for the battery energy storage system (BESS) in smoothing out wind power fluctuations. The goal of the method is to minimize the power output of BESS in the next prediction horizon. The variety of constraints is considered, such as the 1-minute and 30-minute fluctuation mitigation requirements (FMR), the BESS maximum power limitation and energy constraint. When the synthetic power output fails to satisfy the proposed FMR, the constraint softening adjustment technology is adopted while taking into account the expected goals to obtain satisfactory optimization results. What is more, the state-of-charge (SOC) feed back control strategy is proposed to regulate the SOC of the BESS within its proper range. Furthermore, an adaptive penalty function of roughness is developed to further smooth the combined output, lower the storage capacity and improve the economy of system operation. Simulation studies demonstrate that, compared with the low-pass-filter-based algorithms, the proposed MPC-based algorithm needs lower power rating and storage capacity. Also, it facilitates engineering realization for its simple algorithm and small computation workload.关键词
模型预测控制/电池储能系统/能量反馈控制/风电功率波动平抑/自适应粗糙度惩罚Key words
model predictive control (MPC)/ battery energy storage system (BESS)/ energy feed back control/ wind power output smoothing/ adaptive roughness punishment引用本文复制引用
洪海生,江全元,严玉婷..实时平抑风电场功率波动的电池储能系统优化控制方法[J].电力系统自动化,2013,37(1):103-109,7.基金项目
国家高技术研究发展计划(863计划)资助项目(2011AA05A113) （863计划）
国家重点基础研究发展计划(973计划)资助项目(2012CB215106). （973计划）
