电网技术
電網技術
전망기술
POWER SYSTEM TECHNOLOGY
2013年
12期
3596-3602
,共7页
江润洲%邱晓燕%李丹%陈光堂%王刚%廖茜
江潤洲%邱曉燕%李丹%陳光堂%王剛%廖茜
강윤주%구효연%리단%진광당%왕강%료천
智能配网%多微网%储能系统%非合作环境%柔性目标函数%动态回溯模拟%经济运行
智能配網%多微網%儲能繫統%非閤作環境%柔性目標函數%動態迴溯模擬%經濟運行
지능배망%다미망%저능계통%비합작배경%유성목표함수%동태회소모의%경제운행
smart distribution network%multi microgrid%energy storage system%non-cooperative environment%flexible objective function%dynamic backtracking simulation%economic operation
考虑储能系统的充放电灵活性,在传统购售模式基础上,增加“容量租借”模式,并采用单位临界租用成本指导其租用行为。根据多微网运行模式的非合作特性和电能的不同使用形式,将微网间的调度决策问题分解为跨时段决策和实时调度决策2个子问题。以各微网运行成本最低为目标,建立基于效用函数的经济运行柔性目标函数,将各微网目标解耦并统一。考虑供需内在关系后结合动态回溯模拟方法迭代求解,最终得到智能配电系统的最佳运行方式。算例结果验证了所提模型、方法的有效性。
攷慮儲能繫統的充放電靈活性,在傳統購售模式基礎上,增加“容量租藉”模式,併採用單位臨界租用成本指導其租用行為。根據多微網運行模式的非閤作特性和電能的不同使用形式,將微網間的調度決策問題分解為跨時段決策和實時調度決策2箇子問題。以各微網運行成本最低為目標,建立基于效用函數的經濟運行柔性目標函數,將各微網目標解耦併統一。攷慮供需內在關繫後結閤動態迴溯模擬方法迭代求解,最終得到智能配電繫統的最佳運行方式。算例結果驗證瞭所提模型、方法的有效性。
고필저능계통적충방전령활성,재전통구수모식기출상,증가“용량조차”모식,병채용단위림계조용성본지도기조용행위。근거다미망운행모식적비합작특성화전능적불동사용형식,장미망간적조도결책문제분해위과시단결책화실시조도결책2개자문제。이각미망운행성본최저위목표,건립기우효용함수적경제운행유성목표함수,장각미망목표해우병통일。고필공수내재관계후결합동태회소모의방법질대구해,최종득도지능배전계통적최가운행방식。산례결과험증료소제모형、방법적유효성。
Considering the flexibility of charging and discharging of energy storage system, the capacity-renting mode is added to traditional electricity purchasing and selling modes and the renting behavior is guided by unit critical renting cost. According to the Non-cooperative feature of multi microgrid operation mode and various utilization forms of electricity, the dispatching decision among microgrids is decomposed to two sub-problems, namely the decision-making across time intervals and real-time scheduling decision. Taking the lowest cost of each microgrid as objective, a utility function based flexible objective function of economic operation is established to decouple objectives of all microgrids and make them unified. Considering the internal relation between supply and demand and combining with dynamic backtracking simulation, the objectives are solved by iteration, thus optimal operation modes of microgrids under non-cooperative environment are obtained, and finally the optimal operation mode of smart distribution network is achieved. The validity of the proposed method and models is verified by simulation results.