[1]付 波,邓竞成,康毅恒. 基于机会约束的园区综合能源系统优化调度[J].湖北工业大学学报,2023,(1):11-14+32.
　FU Bo,DENG Jingcheng,KANG Yiheng. Optimal Scheduling of Park Integrated Energy System Based on Chance Constraint[J].,2023,(1):11-14+32.
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 基于机会约束的园区综合能源系统优化调度()
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《湖北工业大学学报》[ISSN:1003-4684/CN:42-1752/Z]

卷:
期数:
2023年第1期
页码:
11-14+32
栏目:
湖北工业大学学报
出版日期:
2023-03-13

文章信息/Info

Title:
 Optimal Scheduling of Park Integrated Energy System Based on Chance Constraint
文章编号:
1003-4684(2023)01-0011-04
作者:
 付 波;  邓竞成;  康毅恒
 湖北工业大学电气与电子工程学院， 湖北 武汉 430068
Author(s):
 FU Bo; DENG Jingcheng ; KANG Yiheng
 School of Electrical and Electronic Engin., Hubei Univ. of Tech., Wuhan, 430068, China
关键词:
 ; 机会约束;  序列运算;  需求响应;  园区综合能源系统
Keywords:
 ; chance constraint;  sequence operation;  demand response;  park integrated energy system
分类号:
TM73
文献标志码:
A
摘要:
 基于机会约束理论应对可再生能源的不确定性，构建了考虑不确定性的园区综合能源系统优化调度模型。同时针对引入机会约束后所建立的随机优化问题，通过序列运算理论对机会约束进行确定性转化，降低了求解的复杂度，并调用CPLEX对转换后得到的混合整数线性规划模型进行求解。算例仿真验证了该模型和方法的可行性，同时在稳定性和求解速度方面较启发式算法有所提升。
Abstract:
 The uncertainty of renewable energy puts forward higher requirements for system backup, which affects the economy of the power system. Park integrated energy systems (PIES) are coupled with multiple energy demands and can effectively absorb renewable energy. However, the traditional optimal scheduling method considering uncertainty has a contradiction between practicability and solution accuracy. Based on the chance constraint theory to deal with the uncertainty of renewable energy, this paper constructs an optimal dispatch model for the park’s comprehensive energy system considering the uncertainty. At the same time, for the stochastic optimization problem established after introducing the chance constraint, the sequence operation theory is used to transform the chance constraint deterministically to reduce the complexity of the solution, and CPLEX is used to solve the mixed integer linear programming(MILP) model obtained after the transformation. Numerical example simulation verifies the feasibility of the model and method, and the stability and solution speed are improved compared with the heuristic algorithm.

参考文献/References:

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备注/Memo

备注/Memo:
［收稿日期］ 2022-03-05
［基金项目］ 湖北省重点研发计划（2021BAA193）
［第一作者］ 付 波(1973-)，男，湖北武汉人，工学博士，湖北工业大学教授，研究方向为新型电力系统
［通信作者］ 邓竞成(1998-)，男，江西赣州人，湖北工业大学硕士研究生，研究方向为电力系统优化配置
更新日期/Last Update: 2023-03-14