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电力系统在线安全预警需要综合考虑电网实时运行状态、重要元件状态及外界运行环境信息,并结合以上信息的趋势预报,采用有效的系统安全分析算法对电网运行的安全性能做出正确评价并提供决策建议。在具备了有效的在线动态安全分析手段以后,预想事故集的构造是影响分析结果可信与否的重要因素。突发性的自然灾害将严重影响电力系统运行的安全性能,是在线安全预警的主要监测对象。文中阐述了在电力系统实时安全预警中构建实时预想事故集的一般思路,给出了基于广义加权Borda排序的预想事故排序方法,并针对典型灾害类型验证了算法的可行性。
The operation of a power system will inevitably be influenced by a variety of natural disasters, e.g. typhoon and forest fire. These disasters will dramatically change the operating environment of a power system and increase the occurrence probability of some specific faults. It is important to make use of the disaster's forecasting information by combining the current operating state of the network and some important components, to make security analysis and risk evaluation, so as to establish the forewarning mechanism, emergency response mechanism, rapid post-disaster restoration and reconstruction mechanism in case of a natural disaster. As the security degree is measured by estimating the influence of contingencies on the power system, the predictive contingency set has a direct influence on the security evaluation results and control strategy. The contingency selection and its ranking method according to particular natural disaster forecasting information are discussed. It is expected to help achieve on-line security forewarning and adjust the pre-decision of dispatching according to the development of the specific disaster.
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