含大用户直购电的风火储联合环境经济调度  

Environmental economic dispatch for wind-thermal-storage system with direct power purchasing from large consumers

作　　者：李慧[1] 于德鳌[1] 范新桥[1] 刘思嘉 LI Hui;YU Deao;FAN Xinqiao;LIU Sijia(School of Automation, Beijing Information Science and Technology University, Beijing 100192, China)

机构地区：[1]北京信息科技大学自动化学院,北京100192

出　　处：《电力科学与技术学报》2022年第3期3-11,共9页Journal of Electric Power Science And Technology

基　　金：北京市自然科学基金(3172015)。

摘　　要：随着我国电力体制改革的深入和节能减排政策的实施,风电并网容量日益增长,储能新技术的应用也为电力系统调度带来新的挑战。为此,提出一种考虑大用户直购电的风火储联合系统环境经济调度模型,该模型综合考虑了风电出力、碳排放权交易、储能系统及大用户直购电等多因素参与的优化求解问题,分析储能系统、大用户的参与对风火联合系统调度在环境和经济效益方面的影响。针对传统萤火虫算法寻优过程中易出现振荡的问题,提出一种混沌自适应萤火虫算法对调度模型进行求解,并以IEEE 39节点系统为例进行仿真分析,验证所提调度模型的正确性及混沌自适应萤火虫算法求解此类问题的有效性。With the deepening of power system reform,the implementation of energy conservation and emission reduction policies,the increase of wind power integration capacity and the application of new energy storage technology,the power system dispatch faces new challenges.Under the background,an environmental economic dispatch(EED)model is proposed for the wind-thermal-storage integrated system with direct power purchase from large consumers.A multi-objective optimization problem including the wind power output,carbon emissions trading,energy storage system and direct power purchase of large consumers is considered comprehensively in the model.Meanwhile,the influences of energy storage systems and large consumers on the environmental and economic benefits of wind-thermal combined system scheduling are analyzed.Besides,a chaotic adaptive glowworm swarm optimization(GSO)algorithm is introduced to solve the problem of oscillation in the optimization of traditional GSO algorithm.At the end,The IEEE-39 system is included for the simulation.It is shown that the proposed EED model is accurate,and the chaos adaptive glowworm swarm optimization algorithm is effective in solving this problem.

关 键 词：环境经济调度 大用户直购电 储能系统 碳排放权交易 混沌映射 

分 类 号：TM73[电气工程—电力系统及自动化]