计及多能设备变工况运行特性的综合能源系统日前优化调度  

Day-ahead optimal dispatch of the integrated energy systems considering off-design operation characteristics of multi energy facilities

作　　者：董文杰[1] 田志强[1] 姚玉斌 隋向阳 李俊格 曾顺奇 Dong Wenjie;Tian Zhiqiang;Yao Yubin;Sui Xiangyang;Li Junge;Zeng Shunqi(Dongfang Electronics Co.,Ltd,Yantai 264000,China;School of Marine Electrical Engineering,Dalian Maritime University,Dalian 116026,China;Guangzhou Power Supply Bureau of Guangdong Power Grid Company,Guangzhou 510620,China)

机构地区：[1]东方电子股份有限公司,山东烟台264000 [2]大连海事大学船舶电气工程学院,辽宁大连116026 [3]广东省电网公司广州供电局,广东广州510620

出　　处：《可再生能源》2022年第10期1372-1379,共8页Renewable Energy Resources

基　　金：国家重点研发计划项目(2016YFB0901300)。

摘　　要：针对传统恒定效率设备模型存在的仿真误差大、适用范围窄等问题,文章将更加精确的设备变工况特性模型应用于系统优化调度中,建立了计及多能设备变工况运行特性的综合能源系统日前优化调度模型。在模型求解过程中,文章应用增量线性化策略,对目标函数和约束条件中的非线性项进行线性化处理,将原始的非线性优化调度模型转化为一个混合整数线性规划,通过调用成熟的商用求解器进行快速求解。在设备变工况运行特性约束的线性化处理过程中,文章提出了一种基于误差控制的分段点选取方法,通过构造偏差函数并控制其极值的上界,可以将最优解的误差水平限制在事先给定的范围内。算例结果表明,文章所提线性化处理方法与分段点选取策略,能够有效求得原始非线性规划问题的近似最优解,并且可将近似最优解的误差水平限制在5%以内。Facility models serve as an important basis for optimal dispatch of the integrated energy systems.Aiming at overcoming the shortcomings of the traditional constant-efficiency facility models(including large simulation error and narrow application scope),this paper adopts the more accurate off-design characteristic facility models in system optimal dispatch,and establishes a day-ahead optimal scheduling model considering the off-design operation characteristics of different facilities.In the process of model solution,this paper applies the incremental linearization strategy to linearize the nonlinear terms in the objective function and constraints,so as to transform the original nonlinear optimal scheduling model into a mixed integer linear programming problem,which then can be solved quickly by calling mature commercial solvers.In the process of linearizing off-design operating constraints of the facilities,this paper proposes a method of selecting the piecewise points based on the mechanism of error control.By constructing the deviation function and controlling the upper bound of its extreme values,the error level of the optimal solution can be limited in the given range in advance.Results in the case study show that the proposed linearization method and piecewise point selection strategy can effectively obtain the approximate optimal solution of the original nonlinear programming problem,and the error level of the approximate optimal solution can be limited within a given range(i.e.≤5%).

关 键 词：综合能源系统 优化调度 变工况/变负荷运行特性 增量线性化 分段点选取 

分 类 号：TK51[动力工程及工程热物理—热能工程] TK81