电力系统保护与控制2016，Vol.44Issue(7)：25-31,7.DOI:10.7667/PSPC150905
计及风力发电风险的电力系统多目标动态优化调度
Multi-objective dynamic optimal scheduling of power system considering wind power risk
杨家然 1王兴成 1蒋程 2罗晓芬3
作者信息
- 1. 大连海事大学，辽宁 大连 116026
- 2. 国网北京市电力公司，北京 100031
- 3. 华能威海发电有限责任公司，山东 威海 264205
- 折叠
摘要
Abstract
In order to solve the problem caused by the randomness of the wind power system, the load forecasting error and the probability distribution function of wind speed are introduced to establish the stochastic model of the load and wind power. Based on the in-depth analysis of the load and the random model of wind power, the cost of the wind power access to the system to maintain the stable operation of the cost of the risk is considered, and the risk of wind power loss and risk indicators are introduced. A multi-objective optimization scheduling model for power system with wind power generation risk is constructed in order to achieve the overall optimization of the system total pollution emissions and the lowest operating cost. The model is solved by using a novel bat algorithm, and the shortcomings of the algorithm are improved. The algorithm can effectively solve the problems such as slow convergence and easy to fall into local extremum. Taking large-scale wind power system as an example, the environmental and economic dispatch simulation is carried out to verify the effectiveness of the proposed model and the algorithm.关键词
风电/电力系统/环境经济调度/多目标优化/蝙蝠算法Key words
wind power/electric power systems/environmental-economic dispatch/multi-objective optimization/bat algorithm引用本文复制引用
杨家然,王兴成,蒋程,罗晓芬..计及风力发电风险的电力系统多目标动态优化调度[J].电力系统保护与控制,2016,44(7):25-31,7.
