基于改進(jìn)帝國競(jìng)爭算法的微電網(wǎng)優(yōu)化調(diào)度
周磊，葛家寧，葛鵬，張亞亞，張森，袁全
（南京工程學(xué)院 電力工程學(xué)院，江蘇 南京 211167）
摘 要：研究了并網(wǎng)狀態(tài)下的微電網(wǎng)經(jīng)濟(jì)運(yùn)行，并將改進(jìn)的帝國競(jìng)爭算法運(yùn)用到并網(wǎng)模式下的微電網(wǎng)經(jīng)濟(jì)調(diào)度中。建立包含光伏、風(fēng)機(jī)、燃料電池及蓄電池的微電網(wǎng)并網(wǎng)運(yùn)行模型，調(diào)度模型以微電網(wǎng)運(yùn)行成本最小為目標(biāo)，以各個(gè)機(jī)組的出力限制、功率平衡、儲(chǔ)能情況等為約束條件，由于帝國競(jìng)爭算法在計(jì)算時(shí)收斂速度慢，將模糊隸屬函數(shù)與輪盤算法引入帝國競(jìng)爭算法來求解所建立的數(shù)學(xué)模型，通過改進(jìn)的帝國競(jìng)爭算法求得了最佳的出力方式。
關(guān)鍵詞：微電網(wǎng)；經(jīng)濟(jì)調(diào)度；模糊隸屬函數(shù)；輪盤算法；帝國競(jìng)爭算法
中圖分類號(hào)：TM734 文獻(xiàn)標(biāo)識(shí)碼：A 文章編號(hào)：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(xiàn)
[1] 王成山，王守相. 分布式發(fā)電供能系統(tǒng)若干問題研究[J]. 電力系統(tǒng)自動(dòng)化，2008，32(20)：1-4.
[2] 翟云峰，易國偉，王亦，等. 基于改進(jìn)帝國競(jìng)爭算法的微網(wǎng)動(dòng)態(tài)經(jīng)濟(jì)調(diào)度[J]. 電力科學(xué)與工程，2015，31(5)：34-41.
[3] 黃偉，黃婷，周歡，等. 基于改進(jìn)微分進(jìn)化算法的微電網(wǎng)動(dòng)態(tài)經(jīng)濟(jì)優(yōu)化調(diào)度[J]. 電力系統(tǒng)自動(dòng)化，2014，38(9)：211-217.
[4] 李正茂， 張峰， 梁軍， 等. 含電熱聯(lián)合系統(tǒng)的微電網(wǎng)運(yùn)行優(yōu)化[J]. 中國電機(jī)工程學(xué)報(bào)，2015，35(14)：3569-3576.
[5] 陳潔，楊秀，朱蘭，等. 微網(wǎng)多目標(biāo)經(jīng)濟(jì)調(diào)度優(yōu)化[J]. 中國電機(jī)工程學(xué)報(bào)，2013，33(19)：57-66.
[6] 李正茂. 基于電熱聯(lián)合調(diào)度的微電網(wǎng)運(yùn)行優(yōu)化[D].濟(jì)南：山東大學(xué)，2016.
[7] 季美紅. 基于粒子群算法的微電網(wǎng)多目標(biāo)經(jīng)濟(jì)調(diào)度模型研究[D]. 合肥：合肥工業(yè)大學(xué)，2010.
[8] 杜繼成，張真源，張宇馨. 考慮負(fù)荷不確定性的微電網(wǎng)優(yōu)化調(diào)度研究[J]. 四川電力技術(shù)，2018，41(3)：38-42.
[9] 程啟明，程尹曼，黃山，等. 微電網(wǎng)經(jīng)濟(jì)優(yōu)化運(yùn)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.
