基于改進帝國競爭算法的微電網優化調度
周磊,葛家寧,葛鵬,張亞亞,張森,袁全
(南京工程學院 電力工程學院,江蘇 南京 211167)
摘 要:研究了并網狀態下的微電網經濟運行,并將改進的帝國競爭算法運用到并網模式下的微電網經濟調度中。建立包含光伏、風機、燃料電池及蓄電池的微電網并網運行模型,調度模型以微電網運行成本最小為目標,以各個機組的出力限制、功率平衡、儲能情況等為約束條件,由于帝國競爭算法在計算時收斂速度慢,將模糊隸屬函數與輪盤算法引入帝國競爭算法來求解所建立的數學模型,通過改進的帝國競爭算法求得了最佳的出力方式。
關鍵詞:微電網;經濟調度;模糊隸屬函數;輪盤算法;帝國競爭算法
中圖分類號:TM734 文獻標識碼:A 文章編號:1007-3175(2020)04-0030-05
Optimal Dispatching of Microgrid Based on Improved Imperial Competition Algorithms
ZHOU Lei, GE Jia-ning, GE Peng, ZHANG Ya-ya, ZHANG Sen, YUAN Quan
(School of Electric Power Engineering, Nanjing Institute of Technology, Nanjing 2111 67, China)
Abstract: In this paperthe economical operation of the microgrid under grid-connected state is studied, and the improved imperial competition algorithm is applied to the microgrid economicdispatch under the grid-connected mode. A microgrid grid-connected operation model including photovoltaics, wind turbines, fuel cells, and batteries is established.The dispatch model aims at minimizing the operation cost of microgrid, and it takes the output limitation, power balance and energy storage of each unit as constraints. Due to the slow convergence speed of imperial competition algorithm, the fuzzy membership function and roulette algorithm are introduced into imperial competition algorithm to solve the established mathematical model problem. The improved output method was obtained through the improved imperial competition algorithm.
Key words: microgrid; economic dispatch; fuzzy membership function; roulette algorithm; imperial competition algorithm
參考文獻
[1] 王成山,王守相. 分布式發電供能系統若干問題研究[J]. 電力系統自動化,2008,32(20):1-4.
[2] 翟云峰,易國偉,王亦,等. 基于改進帝國競爭算法的微網動態經濟調度[J]. 電力科學與工程,2015,31(5):34-41.
[3] 黃偉,黃婷,周歡,等. 基于改進微分進化算法的微電網動態經濟優化調度[J]. 電力系統自動化,2014,38(9):211-217.
[4] 李正茂, 張峰, 梁軍, 等. 含電熱聯合系統的微電網運行優化[J]. 中國電機工程學報,2015,35(14):3569-3576.
[5] 陳潔,楊秀,朱蘭,等. 微網多目標經濟調度優化[J]. 中國電機工程學報,2013,33(19):57-66.
[6] 李正茂. 基于電熱聯合調度的微電網運行優化[D].濟南:山東大學,2016.
[7] 季美紅. 基于粒子群算法的微電網多目標經濟調度模型研究[D]. 合肥:合肥工業大學,2010.
[8] 杜繼成,張真源,張宇馨. 考慮負荷不確定性的微電網優化調度研究[J]. 四川電力技術,2018,41(3):38-42.
[9] 程啟明,程尹曼,黃山,等. 微電網經濟優化運行綜述[J]. 廣東電力,2018,31(2):1-9.
[10] XU Shuhui, WANG Yong, LU Peichuan. Improved imperialist competitive algorithm with mutation operator for continuous optimization problems[J]. Neural Computing and Applications,2017,28(7):1667-1682.
[11] AGHDAM Farid Hamzeh, HAGH Mehrdad Tarafdar. Security Constrained Unit Commitment (SCUC) Formulation and its Solving with Modified Imperialist Competitive Algorithm (MICA)[J]. Journal of King Saud University-Engineering Sciences,2019,31(3):253-261.