含風電場的電力系統(tǒng)多目標優(yōu)化調度
麻利新，翟帥華，李萍
（寧夏大學 物理與電子電氣工程學院，寧夏 銀川 750021）
摘 要：針對火力發(fā)電對環(huán)境造成的嚴重污染問題，建立了含風電場的電力系統(tǒng)多目標優(yōu)化調度模型。以火電機組燃料費用和污染氣體排放量最低為目標，用虛擬解理論將多目標優(yōu)化問題轉化為單目標優(yōu)化問題，以降低問題的復雜性；用動態(tài)搜索步長及動態(tài)搜索概率對布谷鳥算法改進，用改進后的算法求解所建立調度模型。仿真結果表明，改進算法在符合有功平衡約束、機組出力約束及機組爬坡約束等同樣的前提條件下，具有節(jié)約發(fā)電成本，減少污染物排放，加快系統(tǒng)運行速度的優(yōu)點。
關鍵詞：風電場；污染物排放；多目標優(yōu)化；虛擬解；布谷鳥算法
中圖分類號：TM614 文獻標識碼：A 文章編號：1007-3175(2019)08-0007-04
Multi-Objective Optimal Scheduling of Power System Including Wind Farm
MA Li-xin, ZHAI Shuai-hua, LI Ping
（School of Physics and Electronic-Electrical Engineering, Ningxia University, Yinchuan 750021, China）
Abstract: Aiming at the serious pollution problem caused by thermal power generation, this paper established a multi-objective optimization scheduling model of power system including wind farms. In order to reduce the complexity of the problem, the multi-objective optimization problem was transformed into a single-objective optimization problem by using the virtual solution theory, aiming at the lowest fuel cost and the lowest emission of polluted gases. The cuckoo algorithm was improved by using dynamic search step size and dynamic search probability, and the improved algorithm was used for solving the established scheduling model. The simulation results show that the improved algorithm has the advantages of saving power generation costs, reducing pollutant emissions and speeding up the system operation under the same preconditions as active power balance constraints, unit output constraints and unit climbing constraints and so on.
Key words: wind farm; pollutant emissions; multi-objective optimization; virtual solution; cuckoo algorithm
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