电力系统自动化
電力繫統自動化
전력계통자동화
AUTOMATION OF ELECTRIC POWER SYSTEMS
2014年
17期
43-48
,共6页
章力%高元海%熊宁%王淳%杨聪%舒娇
章力%高元海%熊寧%王淳%楊聰%舒嬌
장력%고원해%웅저%왕순%양총%서교
分布式光伏电站%选址定容%碳排放%序贯蒙特卡洛模拟%生物地理学优化算法
分佈式光伏電站%選阯定容%碳排放%序貫矇特卡洛模擬%生物地理學優化算法
분포식광복전참%선지정용%탄배방%서관몽특잡락모의%생물지이학우화산법
distributed photovoltaic power station%siting and sizing%carbon emissions%sequential Monte-Carlo simulation%biogeography-based optimization algorithm
提出一种考虑潮流倒送约束的配电网分布式光伏电站选址定容规划方法。该方法利用序贯蒙特卡洛模拟法处理光伏出力及负荷的时序性和随机性,以配电网对主网电能的需求最小为优化目标,以安装断路器的支路潮流不倒送和节点电压不越限为约束,在提高分布式光伏接入容量、减少碳排放量的同时,避免了常规选址定容模型引起的安装断路器支路潮流倒送频率高、危及现有配电网安全运行的不足。最后,采用性能良好的生物地理学优化算法对所建模型进行求解,在 IEEE 33节点系统上验证了所提方法的有效性。
提齣一種攷慮潮流倒送約束的配電網分佈式光伏電站選阯定容規劃方法。該方法利用序貫矇特卡洛模擬法處理光伏齣力及負荷的時序性和隨機性,以配電網對主網電能的需求最小為優化目標,以安裝斷路器的支路潮流不倒送和節點電壓不越限為約束,在提高分佈式光伏接入容量、減少碳排放量的同時,避免瞭常規選阯定容模型引起的安裝斷路器支路潮流倒送頻率高、危及現有配電網安全運行的不足。最後,採用性能良好的生物地理學優化算法對所建模型進行求解,在 IEEE 33節點繫統上驗證瞭所提方法的有效性。
제출일충고필조류도송약속적배전망분포식광복전참선지정용규화방법。해방법이용서관몽특잡락모의법처리광복출력급부하적시서성화수궤성,이배전망대주망전능적수구최소위우화목표,이안장단로기적지로조류불도송화절점전압불월한위약속,재제고분포식광복접입용량、감소탄배방량적동시,피면료상규선지정용모형인기적안장단로기지로조류도송빈솔고、위급현유배전망안전운행적불족。최후,채용성능량호적생물지이학우화산법대소건모형진행구해,재 IEEE 33절점계통상험증료소제방법적유효성。
A siting and sizing method for the distributed photovoltaic power station in distribution network considering reverse power flow constraints is proposed.This method employs sequential Monte-Carlo simulation to deal with time-sequence and randomness characteristics of load and photovoltaic power output.The minimum electric energy demand from the main grid is taken as the optimization objective.The constraints are freedom from reverse power flow in distribution line equipped with circuit breaker with no bus voltage exceeding limit.While increasing the penetration of distributed photovoltaic generation and decreasing carbon emission,the proposed model makes it possible to avoid high frequency occurrences of the reverse power flow on the branch equipped with circuit breaker in the most commonly used model that endangers safe operation of the existing distribution network.Finally,the biogeography-based optimization algorithm with good performance is employed to solve the new optimization model.An IEEE 33-bus system has verified the effectiveness of the proposed method.