| 引用本文: | 牛林华,龚庆武,黄炳翔,刘 栋.大规模风电入网下的风气火电力系统联合优化调度[J].电力自动化设备,2015,35(11): |
| NIU Linhua,GONG Qingwu,HUANG Bingxiang,LIU Dong.Optimal dispatch of wind-gas-coal power generation system with large-scale wind farm[J].Electric Power Automation Equipment,2015,35(11): |
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| 摘要: |
| 建立综合考虑机组能耗成本最低、环境成本最低、火电机组平稳运行为目标的风气火联合优化动态经济调度模型。采用启发式搜索确定机组组合，避免火电机组频繁启停及过大的系统容量冗余。提出一种改进的混合粒子群算法，通过10机测试系统验证了该算法的优越性。以某地区电网为例进行仿真计算，结果验证了所提调度模型与改进的粒子群算法的可行性和有效性。 |
| 关键词: 风电 联合循环发电 火力发电 改进粒子群优化算法 动态经济调度 环境成本 |
| DOI： |
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| 基金项目:国家科技支撑计划资助项目（2013BAA02B01） |
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| Optimal dispatch of wind-gas-coal power generation system with large-scale wind farm |
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NIU Linhua, GONG Qingwu, HUANG Bingxiang, LIU Dong
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School of Electrical Engineering，Wuhan University，Wuhan 430072，China
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| Abstract: |
| A dynamic and economic optimization dispatch model is proposed for the hybrid wind-gas-coal power generation system with large-scale wind farm，which takes the minimum energy consumption cost of units，the minimum environmental cost and the stable operation of thermal power generation units as its goals. The heuristic search method is applied to determine the unit commitment to avoid the frequent startup／shutoff and capacity redundancy. The improved hybrid PSO（Particle Swarm Optimization） algorithm is proposed and its superiority is verified with a 10-unit test system. The simulative calculation is carried out for a regional power grid to verify the rationality and feasibility of the proposed model and algorithm. |
| Key words: wind power combined-cycle power generation thermal power generation improved particle swarm optimization algorithm dynamic economic dispatch environmental cost |
