Bi-Level Multi-Objective Optimization Scheduling for Regional Integrated Energy Systems Based on Quantum Evolutionary Algorithm

被引：16
作者：
Fan, Wen [1 ]
Liu, Qing [1 ]
Wang, Mingyu [1 ]
机构：
[1] North China Elect Power Univ Baoding, State Key Lab Alternate Elect Power Syst Renewabl, Baoding 071003, Peoples R China
来源：
ENERGIES | 2021年 / 14卷 / 16期
关键词：
integrated energy system; quantum evolutionary algorithm; multi-objective programming; bi-level model; uncertainty; STRATEGY; POWER;
D O I：
10.3390/en14164740
中图分类号：
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号：
0807 ; 0820 ;
摘要：
Integrated energy systems have become an important research topic in the pursuit of sustainable energy development. This paper examines regional integrated energy systems, presents the typical architecture of regional integrated energy systems, and builds an integrated energy system model. Two evaluation indexes are proposed: the integrated energy self-sufficiency rate and the expected energy deficiency index. Based on these evaluation indexes and taking into account the uncertainty of wind power generation, a bi-level optimization model based on meta-heuristic algorithms and multi-objective programming is established to solve the problem of regional integrated energy system planning under different load structures and for multi-period and multi-scenario operation modes. A quantum evolutionary algorithm is combined with genetic algorithms to solve the problem.
引用
收藏
页数：15
相关论文
共 20 条
[1]   Low complexity energy management strategy for grid profile smoothing of a residential grid-connected microgrid using generation and demand forecasting [J].
Arcos-Aviles, Diego ;
Pascual, Julio ;
Guinjoan, Francesc ;
Marroyo, Luis ;
Sanchis, Pablo ;
Marietta, Martin P. .
APPLIED ENERGY, 2017, 205 :69-84
[2]   A comprehensive review of Energy Internet: basic concept, operation and planning methods, and research prospects [J].
Cao, Yijia ;
Li, Qiang ;
Tan, Yi ;
Li, Yong ;
Chen, Yuanyang ;
Shao, Xia ;
Zou, Yao .
JOURNAL OF MODERN POWER SYSTEMS AND CLEAN ENERGY, 2018, 6 (03) :399-411
[3]   Increasing the Flexibility of Combined Heat and Power for Wind Power Integration in China: Modeling and Implications [J].
Chen, Xinyu ;
Kang, Chongqing ;
O'Malley, Mark ;
Xia, Qing ;
Bai, Jianhua ;
Liu, Chun ;
Sun, Rongfu ;
Wang, Weizhou ;
Li, Hui .
IEEE TRANSACTIONS ON POWER SYSTEMS, 2015, 30 (04) :1848-1857
[4]   Coordinated optimal dispatch and market equilibrium of integrated electric power and natural gas networks with P2G embedded [J].
Chen, Zexing ;
Zhang, Yongjun ;
Ji, Tianyao ;
Cai, Zexiang ;
Li, Licheng ;
Xu, Zhiheng .
JOURNAL OF MODERN POWER SYSTEMS AND CLEAN ENERGY, 2018, 6 (03) :495-508
[5]   Assessment of new operational strategy in optimization of CCHP plant for different climates using evolutionary algorithms [J].
Hajabdollahi, Hassan ;
Ganjehkaviri, Abdolsaeid ;
Jaafar, Mohammad Nazri Mohd .
APPLIED THERMAL ENGINEERING, 2015, 75 :468-480
[6]   Quantum-inspired evolutionary algorithm for a class of combinatorial optimization [J].
Han, KH ;
Kim, JH .
IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION, 2002, 6 (06) :580-593
[7]   Optimal economic operation of isolated community microgrid incorporating temperature controlling devices [J].
Bo Hu ;
He Wang ;
Sen Yao .
Protection and Control of Modern Power Systems, 2017, 2 (1)
[8]   A new principle of synthetic cascade utilization of chemical energy and physical energy [J].
Jin, HG ;
Hong, H ;
Wang, BQ ;
Han, W ;
Lin, RM .
SCIENCE IN CHINA SERIES E-TECHNOLOGICAL SCIENCES, 2005, 48 (02) :163-179
[9]   Stochastic Midterm Coordination of Hydro and Natural Gas Flexibilities for Wind Energy Integration [J].
Kamalinia, Saeed ;
Wu, Lei ;
Shahidehpour, Mohammad .
IEEE TRANSACTIONS ON SUSTAINABLE ENERGY, 2014, 5 (04) :1070-1079
[10]   Optimal Scheduling of Residential Energy System Including Combined Heat and Power System and Storage Device [J].
Karami, H. ;
Sanjari, M. J. ;
Tavakoli, A. ;
Gharehpetian, G. B. .
ELECTRIC POWER COMPONENTS AND SYSTEMS, 2013, 41 (08) :765-781
12