电力系统自动化
電力繫統自動化
전력계통자동화
AUTOMATION OF ELECTRIC POWER SYSTEMS
2012年
12期
11-16
,共6页
鲍冠南%陆超%袁志昌%韩英铎
鮑冠南%陸超%袁誌昌%韓英鐸
포관남%륙초%원지창%한영탁
电池储能%削峰填谷%实时优化%动态规划
電池儲能%削峰填穀%實時優化%動態規劃
전지저능%삭봉전곡%실시우화%동태규화
battery energy storage%load shift%real-time optimization%dynamic programming
削峰填谷是电池储能系统的基本功能之一。为了更好地发挥储能系统作用、延长电池使用寿命,削峰填谷优化需综合考虑电池容量和充放电次数、变流器出力、实时负荷曲线、与储能系统其他控制功能相配合等因素。文中提出一种基于动态规划的实时修正优化控制策略,可在优化模型中引入充放电次数限制和放电深度限制等非连续约束条件,并通过将电池电量离散化等方法解决含有非连续约束的优化问题。同时,针对电网扰动等因素引起的储能系统其他控制功能动作导致的电池可用容量不确定变化,通过在线修正的方法加以解决。上述控制算法已成功应用于南方电网兆瓦级锂离子电池储能示范工程。以该系统所在的深圳碧岭站负荷实测数据为基础,对所设计控制策略进行了验证,说明了其良好的优化效果。
削峰填穀是電池儲能繫統的基本功能之一。為瞭更好地髮揮儲能繫統作用、延長電池使用壽命,削峰填穀優化需綜閤攷慮電池容量和充放電次數、變流器齣力、實時負荷麯線、與儲能繫統其他控製功能相配閤等因素。文中提齣一種基于動態規劃的實時脩正優化控製策略,可在優化模型中引入充放電次數限製和放電深度限製等非連續約束條件,併通過將電池電量離散化等方法解決含有非連續約束的優化問題。同時,針對電網擾動等因素引起的儲能繫統其他控製功能動作導緻的電池可用容量不確定變化,通過在線脩正的方法加以解決。上述控製算法已成功應用于南方電網兆瓦級鋰離子電池儲能示範工程。以該繫統所在的深圳碧嶺站負荷實測數據為基礎,對所設計控製策略進行瞭驗證,說明瞭其良好的優化效果。
삭봉전곡시전지저능계통적기본공능지일。위료경호지발휘저능계통작용、연장전지사용수명,삭봉전곡우화수종합고필전지용량화충방전차수、변류기출력、실시부하곡선、여저능계통기타공제공능상배합등인소。문중제출일충기우동태규화적실시수정우화공제책략,가재우화모형중인입충방전차수한제화방전심도한제등비련속약속조건,병통과장전지전량리산화등방법해결함유비련속약속적우화문제。동시,침대전망우동등인소인기적저능계통기타공제공능동작도치적전지가용용량불학정변화,통과재선수정적방법가이해결。상술공제산법이성공응용우남방전망조와급리리자전지저능시범공정。이해계통소재적심수벽령참부하실측수거위기출,대소설계공제책략진행료험증,설명료기량호적우화효과。
Peak shaving is one of the most important applications of battery energy storage system (BESS). In order to fully make use of the battery as well as prolong the battery life, in the load shift optimization, many factors should be considered such as battery capacity, times of charge and discharge, load curve and the coordination with other applications of battery energy storage system. A real-time optimization strategy based on the dynamic programming is presented. Constraints like times of charge-discharge and depth of discharge are added to the optimization model. Dynamic programming is employed to solve discontinuous constraints problem when discrete BESS power adjustment is considered. BESS may also respond in other control modes or functions to the power system disturbances or fluctuations, which may result in unpredictable capacity variations..The real-time optimization strategy can be used to correct the battery capacity online. The strategy mentioned above is successfully applied to a MW-level BESS demonstration project in Biling substation, China Southern Power Grid. The results of the simulations and field tests based on the actual load data of Biling substation demonstrate the effectiveness of the optimization strategy.