电力系统自动化
電力繫統自動化
전력계통자동화
AUTOMATION OF ELECTRIC POWER SYSTEMS
2014年
13期
85-91
,共7页
电力系统%电力市场%黑启动%系统恢复%辅助服务%保险理论%定价方法
電力繫統%電力市場%黑啟動%繫統恢複%輔助服務%保險理論%定價方法
전력계통%전력시장%흑계동%계통회복%보조복무%보험이론%정개방법
power system%electricity market%black-start%system restoration%ancillary service%insurance theory%pricing method
以黑启动辅助服务补偿费用采取“取于用户，补偿网源”的思路为出发点，提出了一种基于保险理论的服务定价方法。首先，定义黑启动辅助服务保险合同参与主体，设计符合系统恢复特征的保险标的，提出以协议时间作为投保人与保险人之间的保险约定：大停电发生后，保险人应在协议时间内向投保人提供恢复功率，否则被视为违约。然后，详细阐述各项合同要素的计算方法。最后，将服务最优定价问题转化为求解最优协议时间：第1步，根据协议时间与不同合同要素的函数关系，获得合同要素曲线间理想交点对应的协议时间，推导临界协议时间，共同作为服务定价优化模型的约束条件；第2步，以主体间概率收益差距最小为目标函数，计及上述约束，计算最优协议时间，从而求得相应的服务价格。针对某实际系统进行算例分析，说明了所提方法的应用步骤和基本特征。
以黑啟動輔助服務補償費用採取“取于用戶，補償網源”的思路為齣髮點，提齣瞭一種基于保險理論的服務定價方法。首先，定義黑啟動輔助服務保險閤同參與主體，設計符閤繫統恢複特徵的保險標的，提齣以協議時間作為投保人與保險人之間的保險約定：大停電髮生後，保險人應在協議時間內嚮投保人提供恢複功率，否則被視為違約。然後，詳細闡述各項閤同要素的計算方法。最後，將服務最優定價問題轉化為求解最優協議時間：第1步，根據協議時間與不同閤同要素的函數關繫，穫得閤同要素麯線間理想交點對應的協議時間，推導臨界協議時間，共同作為服務定價優化模型的約束條件；第2步，以主體間概率收益差距最小為目標函數，計及上述約束，計算最優協議時間，從而求得相應的服務價格。針對某實際繫統進行算例分析，說明瞭所提方法的應用步驟和基本特徵。
이흑계동보조복무보상비용채취“취우용호，보상망원”적사로위출발점，제출료일충기우보험이론적복무정개방법。수선，정의흑계동보조복무보험합동삼여주체，설계부합계통회복특정적보험표적，제출이협의시간작위투보인여보험인지간적보험약정：대정전발생후，보험인응재협의시간내향투보인제공회복공솔，부칙피시위위약。연후，상세천술각항합동요소적계산방법。최후，장복무최우정개문제전화위구해최우협의시간：제1보，근거협의시간여불동합동요소적함수관계，획득합동요소곡선간이상교점대응적협의시간，추도림계협의시간，공동작위복무정개우화모형적약속조건；제2보，이주체간개솔수익차거최소위목표함수，계급상술약속，계산최우협의시간，종이구득상응적복무개격。침대모실제계통진행산례분석，설명료소제방법적응용보취화기본특정。
An insurance theory based pricing method is proposed by proceeding from the idea of using the compensation fee from black-start ancillary service to power consumers to remunerate power grid corporation and power generation enterprises.First of all,the entities of black-start ancillary service insurance contract are defined and the insurance obj ect conforming to the characteristics of system restoration is designed.Furthermore,the protocol time (PT) is proposed to be the insurance stipulation between policy-holder and insurer:once blackout occurred,the insurer should provide restored power to the policy-holder within the PT,otherwise it will be considered a breach of contract.Then,the steps to calculate contract elements are elaborated.Finally,service pricing optimization is converted to solving the optimal PT:in the first step,according to the functional relation between PT and different contract elements,four kinds of ideal PT corresponding to the ideal crossing points between element curves are obtained,and the critical PT is deduced,jointly serving as the constraints on the service pricing optimization model;in the second step,minimizing the probabilistic yield gap between different contract entities is considered as the obj ective function,including the above constraints simultaneously,the optimal PT can be calculated,thus determining the corresponding service price.An actual power system based example analysis has demonstrated the detailed procedure and basic characteristics of the proposed method.
