自动发电控制下的火电厂厂级负荷优化分配

Study on Plant-level Optimal Load Distribution Based on Automatic Generation Control

为适应目前我国电网的调度模式，提出在自动发电控制（AGC）指令变动下的厂级负荷优化分配方法。以一个具有5台机组、总装机容量为1200MW的火电厂为运行单元，对其运行数据进行经济性计算，实时拟合出各机组煤耗特性曲线，建立在AGC指令下，厂级负荷优化分配的数学模型，并采用微粒群算法来解决动态负荷优化分配问题。最后给出了该电厂在满足不同的AGC指令下，非AGC机组进行负荷优化分配的供电煤耗率结果。计算结果表明，采用这种分配模型，可使全厂供电煤耗率减少0．2-0．4g／（kW·h）。

In order to adapt the current power grid dispatching mode in our country, the strategy for plant-level optimal load distribution in automatic generation control （AGC） direction was put forward. A thermal power plant with five units, of which total installed capacity is 1 200 MW, was taken as an calculation example. After presented economic calculation of online operating data in this power plant, this paper fitted out real-time characteristic curve of each unit＇s coal consumption, and established mathematical model of plant-level optimal load distribution in AGC direction. Then particle swarm optimization algorithm was used to solve the dynamic problem of optimal load distribution. When this power plant met AGC direction, the contrast of coal consumption between optimization and non-optimization of units without AGC direction, was shown. Numerical results shows that plant-level optimal load distribution of the units without AGC direction will the decrease whole plant＇s coal consumption to by 0.2,43.4 g/（kW.h）.