摘要
电网经济调度(ED)是电力系统中一个重要的经济问题。针对ED问题目标函数非线性、不连续的特点,提出了一种量子粒子群混合算法(QPSO)。该算法用量子叠加态表示单个粒子,增加了粒子的多样性;使用量子旋转门更新粒子,提高了粒子的收敛速度。通过实际算例对算法进行仿真验证,结果表明,QPSO算法能够有效解决ED问题,对降低发电成本、减少燃料消耗有一定实用价值。
Ec, onomic dispatch （ED） is an important economic problem in power system, as well as an environmental issue. This paper proposes a quantum particle swarm optimization （QPSO） algorithm, for ED problem has the features of nonlinear and discontinuous. The propesed algorithm is demonstrated on practical examples, which reveal that the algorithm can effectively solve the ED problem.
出处
《东北电力技术》
2014年第1期5-7,共3页
Northeast Electric Power Technology
关键词
电网
经济调度
粒子群算法
量子叠加态
QPSO
Grid
Economic dispatch
Particle swarm optimization
Quantum superposition state
QPSO
