基于动态调整惯性权重粒子群算法的冷热电联供系统运行优化

Operation Optimization of Combined Cooling,Heating and Power Microgrid Based on Improved Dynamic Inertia Weight Adjusted Particle Swarm Algorithm

为实现能源梯级利用、冷热电联供系统优化运行,将基本粒子群算法、改进粒子群法、动态调整惯性权重的粒子群(IDWPSO)算法进行对比。结果表明,相较于其他两种算法IDWPSO算法在收敛速度与精度方面都有更好的表现。建立以运行成本和环保成本最小为目标的冷热电联供系统模型,并采用IDWPSO算法优化。结果表明,在满足系统负荷与约束条件下,IDWPSO算法优化后的系统综合成本有所降低,对CCHP系统优化运行具有指导意义。

In order to realize the optimal operation of cogeneration system,the Particle Swarm Optimization algorithm,the improved Particle Swarm Optimization method and the Inertial Dynamic Weight Particle Swarm Optimization(IDWPSO)algorithm were analyzed.It is found that compared with the other two algorithms the IDWPSO algorithm has good performance in convergence speed and accuracy.Then,a CCHP system model was established to minimize the operating cost and environmental protection cost,and optimized by IDWPSO algorithm.The results show that under the condition of system load and constraints,the system comprehensive cost is reduced after the optimization of IDWPSO algorithm,which has significance for the optimization operation of CCHP system.