含先进绝热压缩空气储能电站的电力系统实时调度模型

摘要

Advanced adiabatic compressed air energy storage (AA-CAES) has the merits of large-scale, low-costs, no fossil fuel, and high efficiency, etc.It is one of the mainstream development trends of the compressed air energy storage (CAES) technology.This paper took the AA-CAES as an important scheduling resource, to participate in power system real-time dispatch together with thermal power generators and a wind power plant.Firstly, based on the thermodynamic characteristics of the AA-CAES plant, the operation constraints of AA-CAES, which can reflect the AA-CAES operation characteristics under off-design conditions, were established.After that, the automatic generation control (AGC) constraints of the AA-CAES plant were established considering the power regulation uncertainty in the AGC stage.As a result, the real-time dispatch model for the power system with AA-CAES was established.In the model, the system AGC capacity demand, the AGC regulation rate demand and the AGC regulation task demand were considered.Finally, the simulation test was applied on the modified IEEE 30-bus system, which verified the dispatch model.%先进绝热压缩空气储能 (AA-CAES) 具有规模大、成本低、无需燃料、效率高等优点, 是压缩空气储能 (CAES) 技术领域的主流发展趋势之一.本文将AA-CAES电站作为重要的调度资源, 与常规机组、风电共同参与电力系统实时调度.首先, 基于AA-CAES电站的热力学特性, 建立能够反映AA-CAES电站变工况条件下运行特性的储能电站运行约束模型.然后, 考虑AACAES电站在自动发电控制 (AGC) 阶段的功率调节不确定性, 建立AA-CAES电站AGC约束模型.在此基础上, 提出含AA-CAES电站的电力系统实时调度模型, 该模型考虑了系统AGC容量需求约束、AGC调节速率需求约束和AGC调节任务量需求约束.最后, 基于修改版IEEE30节点系统进行算例仿真, 仿真结果证明了调度模型的有效性.