中国电机工程学报
中國電機工程學報
중국전궤공정학보
ZHONGGUO DIANJI GONGCHENG XUEBAO
2014年
16期
2668-2675
,共8页
电力系统%运行协同%经济调度%频率%可再生能源发电
電力繫統%運行協同%經濟調度%頻率%可再生能源髮電
전력계통%운행협동%경제조도%빈솔%가재생능원발전
power system%synergy in operation%economic dispatch%frequency%renewable energy generation
为适应电力系统不确定性程度增强的背景,在调度中充分发挥频率调节效应的作用,从新的视角给出了电力系统运行协同的经济调度思路。依据自动发电控制技术,在不考虑电压变化影响的前提下,将协同能力的定义划分为三类,即自动的协同能力、可控的协同能力和再可控的协同能力。与此相适应,在与调度紧密结合的前提下,又给出调度所面临自动的协同状态、可控的协同状态、再可控的协同状态的三状态概念。在此基础上,提出电力系统运行协同的经济调度模型。该模型将频率纳入决策中,针对不可控源波动预期,在模型中有效计及三状态所对应的约束,并给出予以解决的优化方法。最后通过10机算例系统,验证了所提方法在不确定性情景下,增强电力系统源平衡能力的有效性。
為適應電力繫統不確定性程度增彊的揹景,在調度中充分髮揮頻率調節效應的作用,從新的視角給齣瞭電力繫統運行協同的經濟調度思路。依據自動髮電控製技術,在不攷慮電壓變化影響的前提下,將協同能力的定義劃分為三類,即自動的協同能力、可控的協同能力和再可控的協同能力。與此相適應,在與調度緊密結閤的前提下,又給齣調度所麵臨自動的協同狀態、可控的協同狀態、再可控的協同狀態的三狀態概唸。在此基礎上,提齣電力繫統運行協同的經濟調度模型。該模型將頻率納入決策中,針對不可控源波動預期,在模型中有效計及三狀態所對應的約束,併給齣予以解決的優化方法。最後通過10機算例繫統,驗證瞭所提方法在不確定性情景下,增彊電力繫統源平衡能力的有效性。
위괄응전력계통불학정성정도증강적배경,재조도중충분발휘빈솔조절효응적작용,종신적시각급출료전력계통운행협동적경제조도사로。의거자동발전공제기술,재불고필전압변화영향적전제하,장협동능력적정의화분위삼류,즉자동적협동능력、가공적협동능력화재가공적협동능력。여차상괄응,재여조도긴밀결합적전제하,우급출조도소면림자동적협동상태、가공적협동상태、재가공적협동상태적삼상태개념。재차기출상,제출전력계통운행협동적경제조도모형。해모형장빈솔납입결책중,침대불가공원파동예기,재모형중유효계급삼상태소대응적약속,병급출여이해결적우화방법。최후통과10궤산례계통,험증료소제방법재불학정성정경하,증강전력계통원평형능력적유효성。
To adapt to the background of increasing uncertainty in power system and make full use of the frequency regulation effect in dispatch, the idea for synergetic economic dispatch was given from a new perspective. Based on automatic generation control, the synergy ability was divided into three types without considering the influence of voltage change, namely automatic synergy ability, controllable synergy ability and re-controllable synergy ability. Accordingly, on the premise of closely integrated with dispatch, three dispatch states dispatch were introduced, namely automatic synergy state, controllable synergy state and re-controllable synergy state. Based on these, the model of synergetic economic dispatch in power system operation was established. Frequency was seen as a decision variable in this model, and the constraints which correspond to the fluctuating expectation of uncontrollable sources for each state were all considered, and the optimization method to solve this problem was given. In the end, a 10-machine system was used to verify the validity of the proposed approach that it can enhance the ability of power system to keep source power balance under uncertainty.