CAJ | 학술논문

基于随机规划思想和风险决策理论，提出一种计及风险备用的风储联合运行系统广域协调调度方法。协调模型采用双层优化方法实现发电计划优化子问题和备用容量优化子问题的分解协调和迭代求解，降低了随机机组组合模型的计算规模和求解难度。外层优化计及风电波动性采用确定性机组组合模型计算日前发电计划；内层优化基于条件风险价值计算风电预测误差引起的系统风险备用容量，并采用所提出的风储协调策略实现多风电场储能系统之间的协调调度以降低系统备用需求。采用增加了2个风电场的IEEE 30节点系统进行仿真，分析了大规模风电并网系统中储能系统的最优应用模式，并验证了所提协调调度策略在提高风电消纳能力方面的优越性。
기우수궤규화사상화풍험결책이론，제출일충계급풍험비용적풍저연합운행계통엄역협조조도방법。협조모형채용쌍층우화방법실현발전계화우화자문제화비용용량우화자문제적분해협조화질대구해，강저료수궤궤조조합모형적계산규모화구해난도。외층우화계급풍전파동성채용학정성궤조조합모형계산일전발전계화；내층우화기우조건풍험개치계산풍전예측오차인기적계통풍험비용용량，병채용소제출적풍저협조책략실현다풍전장저능계통지간적협조조도이강저계통비용수구。채용증가료2개풍전장적IEEE 30절점계통진행방진，분석료대규모풍전병망계통중저능계통적최우응용모식，병험증료소제협조조도책략재제고풍전소납능력방면적우월성。
This paper presents a risk-constrained coordinative dispatch method for energy storage systems in the large-scale wind-storage systems based on stochastic programming and the risk decision theory.The purpose is to figure out the best application mode and optimal dispatch method for large-scale energy storage systems in power systems with high penetration of wind power.The stochastic unit commitment model is re-formulated as a bi-level optimization model,with a deterministic unit commitment model and a reserve risk decision model as its external level and internal level,respectively.Conditional value-at-risk (CVaR) is adopted to calculate the risk reserves and coordinate the bi-level models.A novel dispatch method used for coordination between wind power,energy storage and conventional thermal units is also proposed.An IEEE 30-bus system with two actual wind farms is used for verification purposes.