电力系统自动化
電力繫統自動化
전력계통자동화
AUTOMATION OF ELECTRIC POWER SYSTEMS
2012年
12期
17-24
,共8页
白玉东%王承民%衣涛%陈东%顾黎强%徐芳敏
白玉東%王承民%衣濤%陳東%顧黎彊%徐芳敏
백옥동%왕승민%의도%진동%고려강%서방민
风力发电%并网容量%优化%不确定信息%柔性分析%风电运行价值%拉格朗日函数%鞍点理论
風力髮電%併網容量%優化%不確定信息%柔性分析%風電運行價值%拉格朗日函數%鞍點理論
풍력발전%병망용량%우화%불학정신식%유성분석%풍전운행개치%랍격랑일함수%안점이론
wind power%grid-connected capacity%optimization%uncertain information%flexibility analysis%operation value ofwind power%Lagrange function%saddle node theory
针对目前风电并网容量优化分析对风电出力随机性考虑的不足,在电力系统柔性分析研究的基础上,引入柔性参数,将风电功率的随机性柔性化表示,并将其量化为惩罚成本计入风电运行价值函数中。同时,考虑风电运行价值对风电并网容量的影响,建立了风电并网容量优化柔性数学模型,并运用拉格朗日函数的鞍点理论将此多目标优化模型简化为2个单目标的优化问题。通过IEEE 30节点算例分析表明,风电功率的柔性化表示充分反映了风电出力随机性强的特点,同时优化柔性数学模型的应用使得风电并网容量规划方案的经济性和安全性有机地结合起来,实现了风电运行价值和风电并网容量折中决策。
針對目前風電併網容量優化分析對風電齣力隨機性攷慮的不足,在電力繫統柔性分析研究的基礎上,引入柔性參數,將風電功率的隨機性柔性化錶示,併將其量化為懲罰成本計入風電運行價值函數中。同時,攷慮風電運行價值對風電併網容量的影響,建立瞭風電併網容量優化柔性數學模型,併運用拉格朗日函數的鞍點理論將此多目標優化模型簡化為2箇單目標的優化問題。通過IEEE 30節點算例分析錶明,風電功率的柔性化錶示充分反映瞭風電齣力隨機性彊的特點,同時優化柔性數學模型的應用使得風電併網容量規劃方案的經濟性和安全性有機地結閤起來,實現瞭風電運行價值和風電併網容量摺中決策。
침대목전풍전병망용량우화분석대풍전출력수궤성고필적불족,재전력계통유성분석연구적기출상,인입유성삼수,장풍전공솔적수궤성유성화표시,병장기양화위징벌성본계입풍전운행개치함수중。동시,고필풍전운행개치대풍전병망용량적영향,건립료풍전병망용량우화유성수학모형,병운용랍격랑일함수적안점이론장차다목표우화모형간화위2개단목표적우화문제。통과IEEE 30절점산례분석표명,풍전공솔적유성화표시충분반영료풍전출력수궤성강적특점,동시우화유성수학모형적응용사득풍전병망용량규화방안적경제성화안전성유궤지결합기래,실현료풍전운행개치화풍전병망용량절중결책。
Given the limitation of optimization models of grid-connected wirid capacity in dealing with randomness of wind power, a novel optimizing flexibility model based on the research on flexible analysis of power system is proposed, considering the influence of operation value of wind power. In this model, the randomness of wind power is expressed by introducing flexible parameters and quantified as a penalty cost into the operation value of wind power. By adopting the saddle node theory of Lagrange function, the multi-objective optimization problem is transformed into two single-objective problems. The calculating results on IEEE 30-bus system demonstrate that the model reflects the randomness of wind power adequately, and the economic and security of planning are combined organically by adopting the proposed model. It enables a compromised decision-making between grid-connected wind capacity and operation value of wind power.