动态匹配电源实时运行工况的AGC调节需求分解策略OA

Maintaining the system frequency quality is a key challenge to the construction of new power systems.The strong source-load fluctuations in the power system with high proportion of renewable energy have brought a higher requirement for the rationality of the total command allocation strategy of the automatic generation control(AGC).Existing command allocation strategies do not consider the response performance differences of regulation sources to various AGC commands under various operating conditions.The mismatch between AGC commands and power source operating conditions is prone to causing the disqualification response performance.To address this issue,an AGC regulation demand decomposition strategy for dynamically matching the real-time operating conditions of power sources is proposed.First,a data-driven qualification perception model of power source regulation performance is established.Whether the regulation performance of the power source is able to meet the assessment standard can be perceived under given operating conditions and received AGC commands.Based on this,the command range that the power source can effectively respond to is reversely inferred under the given operating conditions.Then,for the commonly used advanced allocation and real-time allocation,the AGC allocation strategies embedded with the command matching range are proposed to improve the matching degree between the AGC command allocation results and the power source operating conditions.Finally,the effectiveness of the proposed method is validated based on the actual data of gas turbines and hydropower units in a provincial power grid in China.