摘要
为了比较市场环境下基于电价的确定性机组组合问题与考虑电价不确定性的随机机组组合问题模型的优劣,该文定义了两种风险指标,并采用改进粒子群算法求解这两种机组组合问题。在求解过程中,将机组组合问题分解为确定机组开停机表和确定机组出力的两阶段优化问题,并引入最小开停机修复策略。算例表明,在不同风险态度下,发电商应采取不同的机组组合问题数学模型并进行求解和决策。
To compare the model of price-based unit commitment problem and the model of stochastic price based unit commitment problem in electric power markets, this paper introduces two risk indicators, and adopts an improved par- ticle swarm optimization to solve these two kinds of unit commitment problem. During the solution, the unit commit- ment problem is decomposed into a two-stage optimization problem. A unit on/off status schedule is determined in the first stage, and the generation output of each unit is determined in the second stage. Also, a kind of minimum up/down repair strategy is introduced. Numerical results indicate that, with different risk attitudes, decision makers should adopt different mathematical model and make decision accordingly.
出处
《电力系统及其自动化学报》
CSCD
北大核心
2015年第4期61-66,共6页
Proceedings of the CSU-EPSA
