电力系统自动化
電力繫統自動化
전력계통자동화
AUTOMATION OF ELECTRIC POWER SYSTEMS
2014年
7期
53-59
,共7页
程林%常垚%刘满君%李伟%王志慧
程林%常垚%劉滿君%李偉%王誌慧
정림%상요%류만군%리위%왕지혜
可靠性评估%储能%序贯蒙特卡洛模拟%伪时序状态转移抽样%并行计算%电力系统
可靠性評估%儲能%序貫矇特卡洛模擬%偽時序狀態轉移抽樣%併行計算%電力繫統
가고성평고%저능%서관몽특잡락모의%위시서상태전이추양%병행계산%전력계통
reliability evaluation%energy storage%time sequential Monte Carlo simulation%pseudo-sequential state transition sampling%parallel computing%power systems
定量分析储能装置接入后的系统可靠性水平,并依据其进行最优决策对电力系统安全经济运行具有重要意义。现有的含储能电力系统的可靠性评估算法效率低下,使得求解含有可靠性约束的最优问题较为困难。为此,文中对伪时序状态转移抽样法这一可靠性评估方法进行了改进,以快速、准确地求得储能接入条件下的电力系统可靠性指标,进而为求解可靠性约束优化问题提供了可能性。在IEEE RTS79系统中将所述算法与一般序贯蒙特卡洛模拟法进行了对比。计算结果表明,伪时序状态转移抽样法能够在保持良好精度(相对误差保持在3%以内)的同时,提升单线程计算效率10倍左右,在多线程环境下计算效率更高。
定量分析儲能裝置接入後的繫統可靠性水平,併依據其進行最優決策對電力繫統安全經濟運行具有重要意義。現有的含儲能電力繫統的可靠性評估算法效率低下,使得求解含有可靠性約束的最優問題較為睏難。為此,文中對偽時序狀態轉移抽樣法這一可靠性評估方法進行瞭改進,以快速、準確地求得儲能接入條件下的電力繫統可靠性指標,進而為求解可靠性約束優化問題提供瞭可能性。在IEEE RTS79繫統中將所述算法與一般序貫矇特卡洛模擬法進行瞭對比。計算結果錶明,偽時序狀態轉移抽樣法能夠在保持良好精度(相對誤差保持在3%以內)的同時,提升單線程計算效率10倍左右,在多線程環境下計算效率更高。
정량분석저능장치접입후적계통가고성수평,병의거기진행최우결책대전력계통안전경제운행구유중요의의。현유적함저능전력계통적가고성평고산법효솔저하,사득구해함유가고성약속적최우문제교위곤난。위차,문중대위시서상태전이추양법저일가고성평고방법진행료개진,이쾌속、준학지구득저능접입조건하적전력계통가고성지표,진이위구해가고성약속우화문제제공료가능성。재IEEE RTS79계통중장소술산법여일반서관몽특잡락모의법진행료대비。계산결과표명,위시서상태전이추양법능구재보지량호정도(상대오차보지재3%이내)적동시,제승단선정계산효솔10배좌우,재다선정배경하계산효솔경고。
Power system reliability,which acts as a reference of power system planning and operation,will be influenced by the integration of energy storage system (ESS).Optimizing planning and operation schedules of ESS with reliability consideration is a topic worth study.However,such optimization is restricted by the low efficiency of existing reliability assessment algorithms after ESS is integrated.For this reason,improvement on the sampling algorithm is made to enable it to estimate the reliability impact caused by ESS accurately and efficiently while providing the possibility of solving the problem of optimization restricted by reliability.Then,a comparison is made of the algorithm in question with the time sequential Monte Carlo simulation method in an IEEE RTS79 test system.Calculation results show that the improved pseudo-sequential state transition sampling algorithm is capable of maintaining good accuracy of errors (relative error being less than 3%),while boosting the single-thread computation efficiency ten times or thereabouts and with even higher computation efficiency in a multi-thread environment.