综合环境保护及峰谷电价的水火电短期优化调度  

Short-Term Scheduling of Hydrothermal Power System Considering Environmental Protection and Time-of-Use Price

作　　者：韩冬[1] 蔡兴国[1] 

机构地区：[1]哈尔滨工业大学电气工程及自动化学院,黑龙江省哈尔滨市150001

出　　处：《电网技术》2009年第14期78-83,共6页Power System Technology

基　　金：高等学校博士学科点项科研基金资助项目(20050213006);黑龙江省科技攻关项目(GD07A304)~~

摘　　要：为了使电力市场环境中的发电侧能够实现节能环保且高收益的发电目标,对机组出力变化与分时电价波动之间的关系进行了研究,构建了一种新的水火电短期优化调度模型,该模型以实现电力市场条件下最大发电收益为目标,同时综合考虑了峰谷分时电价和环境保护成本对发电侧经济效益的影响,还考虑了梯级水电站群的蓄水量、下泄流量、机组出力等约束条件,由此得出机组的优化调度方案。针对传统优化算法难以处理高维梯级水电站优化调度多约束条件的缺陷,利用微分进化算法对此优化模型进行求解,仿真计算结果证明了该模型的合理性和算法的有效性。To implement the objectives of energy conservation, environment protection and high income at power generation side in electricity spot market, the relation between variation of unit output and fluctuation of time-of-use price is researched and a new short-term optimal scheduling model for hydrothermal hybrid power system is built. The objective of the proposed model is to maximize the power generation revenue, the influences of time-of-use price and the cost for environment protection are comprehensively considered and the constraints such as water storage, discharge volume and unit output of cascaded hydropower stations are taken into account, form these the optimal scheduling scheme of generation units is obtained. To remedy the defects in traditional optimal algorithms that it is difficult to deal with multi-constraints in optimal scheduling of high dimensional cascaded hydropower stations, the proposed optimal model is solved by differential evolution algorithm. Simulation results show that the proposed model is reasonable and the utilized algorithm is effective.

关 键 词：水火电调度 峰谷分时电价 微分进化算法 目标优化 

分 类 号：TM734[电气工程—电力系统及自动化] F123.9[经济管理—世界经济]