电网技术
電網技術
전망기술
POWER SYSTEM TECHNOLOGY
2013年
7期
1887-1894
,共8页
吕泉%王伟%韩水%苑舜%张近朱%李卫东
呂泉%王偉%韓水%苑舜%張近硃%李衛東
려천%왕위%한수%원순%장근주%리위동
弃风%风电接纳能力%调峰
棄風%風電接納能力%調峰
기풍%풍전접납능력%조봉
wind power curtailment%ability of accommodating wind power%peak-load regulation
随着风电弃风现象的日益增多,如何有效评估未来电网的弃风情况已成为宏观决策部门和风电企业都非常关心的问题。为此,提出了一种新的评估方法。其原理是:针对某个评估水平年,先以各月典型日负荷曲线为基础模拟出月内各日的负荷曲线,进而通过电源调峰能力分析得到各日各时段的电网接纳风电空间;之后,以历史风电标幺值曲线乘以规划风电装机容量作为可能的风电出力曲线;然后,通过二者的比较得到各日的风电弃风功率时序曲线。利用该曲线可统计得到年弃风比例、年利用小时数、年弃风功率持续曲线、年弃风电量月分布、年弃风电量峰谷分布等各类数据,从而全面反映水平年风电弃风情况。利用该方法,算例中对2015年东北电网的风电弃风情况进行了评估。
隨著風電棄風現象的日益增多,如何有效評估未來電網的棄風情況已成為宏觀決策部門和風電企業都非常關心的問題。為此,提齣瞭一種新的評估方法。其原理是:針對某箇評估水平年,先以各月典型日負荷麯線為基礎模擬齣月內各日的負荷麯線,進而通過電源調峰能力分析得到各日各時段的電網接納風電空間;之後,以歷史風電標幺值麯線乘以規劃風電裝機容量作為可能的風電齣力麯線;然後,通過二者的比較得到各日的風電棄風功率時序麯線。利用該麯線可統計得到年棄風比例、年利用小時數、年棄風功率持續麯線、年棄風電量月分佈、年棄風電量峰穀分佈等各類數據,從而全麵反映水平年風電棄風情況。利用該方法,算例中對2015年東北電網的風電棄風情況進行瞭評估。
수착풍전기풍현상적일익증다,여하유효평고미래전망적기풍정황이성위굉관결책부문화풍전기업도비상관심적문제。위차,제출료일충신적평고방법。기원리시:침대모개평고수평년,선이각월전형일부하곡선위기출모의출월내각일적부하곡선,진이통과전원조봉능력분석득도각일각시단적전망접납풍전공간;지후,이역사풍전표요치곡선승이규화풍전장궤용량작위가능적풍전출력곡선;연후,통과이자적비교득도각일적풍전기풍공솔시서곡선。이용해곡선가통계득도년기풍비례、년이용소시수、년기풍공솔지속곡선、년기풍전량월분포、년기풍전량봉곡분포등각류수거,종이전면반영수평년풍전기풍정황。이용해방법,산례중대2015년동북전망적풍전기풍정황진행료평고。
With the increase of wind power curtailment more and more, how to effectively evaluate the wind power curtailment in future power grid becomes an important problem, which both macroscopic decision-making departments and wind power generation enterprises pay special attention to. A new evaluation method for wind power curtailment is proposed, and its principle is as following:for a certain level year, firstly based on typical daily load curve of each month the load curves of all days in the month are simulated, and then by means of analyzing peak load regulation ability of power sources the power grid’s space of accommodating wind power is attained;secondly the historical p.u. curve of wind power multiplied by the planned installed capacity of wind power generators is taken as the possible wind power output curve;thirdly through the comparison of power grid’s space to accommodate wind power with the possible wind power output curve the time-sequence curve of curtailed wind power of each day can be obtained. Using this curve various kind of data, such as annual wind power curtailment ratio, annual utilization hours, duration curve of annual curtailed wind power, monthly distribution of annual wind power curtailment and peak-valley distribution of annual wind power curtailment can be achieved by statistics thus the situation of wind power curtailment in the level year can be fully reflected. Using the proposed method, the situation of wind power curtailment within Northeast power grid in 2015 is evaluated.