计及风光储的冷热电联供系统双层协同优化配置方法

doi:10.12204/j.issn.1000-7229.2021.08.009

电力建设 ›› 2021, Vol. 42 ›› Issue (8): 71-80.doi: 10.12204/j.issn.1000-7229.2021.08.009

计及风光储的冷热电联供系统双层协同优化配置方法

江卓翰¹, 刘志刚¹, 许加柱², 伍敏², 谢欣涛¹, 侯益灵¹

1.能源互联网供需运营湖南省重点实验室(国网湖南省电力有限公司经济技术研究院),长沙市 410004
2.湖南大学电气与信息工程学院,长沙市 410082

收稿日期:2020-12-16 出版日期:2021-08-01 发布日期:2021-07-30
作者简介:江卓翰(1988),男,硕士,高级工程师,主要研究方向为能源互联网、综合能源系统与配电网规划设计;
刘志刚(1966),男,本科,高级工程师,主要研究方向为电力系统规划与运行;
许加柱(1980),男,博士,教授,通信作者,主要研究方向为电力系统运行与规划;
伍敏(1996),男,博士研究生,主要研究方向为综合能源系统与配电网规划设计;
谢欣涛(1972),男,本科,教授级高级工程师,主要研究方向为电力系统运行与规划;
侯益灵(1974),男,本科,教授级高级工程师,主要研究方向为电力系统运行与规划。
基金资助:
国网湖南省电力有限公司科技项目(5216A2200009);湖南省科技创新平台与人才计划(2019TP1053)

Two-Layer Collaborative Optimization Configuration Method for CCHP System with Wind-Solar-Storage

JIANG Zhuohan¹, LIU Zhigang¹, XU Jiazhu², WU Min², XIE Xintao¹, HOU Yiling¹

1. Hunan Key Laboratory of Energy Internet Supply-Demand and Operation (State Grid Hunan Electric Power Company Limited Economic & Technical Research Institute), Changsha 410004, China
2. College of Electrical and Information Engineering, Hunan University, Changsha 410082, China

Received:2020-12-16 Online:2021-08-01 Published:2021-07-30
Supported by:
State Grid Hunan Electric Power Co., Ltd. Scientific and Technological Project(5216A2200009);Science-Technology Innovation Platform and Talents Program of Hunan Province, China(2019TP1053)

摘要/Abstract

摘要：

冷热电联供(combined cooling, heat and power,CCHP)系统的高效、经济运行取决于CCHP系统设备容量和运行策略的整体优化。为提高CCHP系统的实用性,文章提出了一种计及风光储的CCHP系统双层协同优化配置方法:外层优化配置以年化总成本最优和污染物排放量最低为目标函数,采用NSGA Ⅱ算法获得设备的容量配置;内层优化配置中采用对偶理论构建鲁棒模型,以考虑污染物排放和购能成本的总运行成本最优为目标函数,得到各设备的优化调度结果。最后,以某园区的CCHP系统为研究对象,采用所提双层协同优化配置方法对该系统进行优化配置,仿真结果验证了所提方法的有效性,能够兼顾经济性和环保性,有效实现系统的协同优化。

关键词: 冷热电联供(CCHP)系统, 双层优化配置, NSGA Ⅱ算法, 对偶理论, 鲁棒模型

Abstract:

The efficient and economical operation of combined cooling, heat and power (CCHP) system depends on the overall optimization of the system’s equipment capacity and operating strategy. In order to improve the practicality of the CCHP, a two-layer collaborative optimization configuration method for the CCHP system considering wind power, solar power and energy storage is proposed. The optimized configuration of the outer layer aims at the best economic net present value and the lowest pollutant emissions as the objective function, and the NSGAⅡ algorithm is used to obtain the capacity configuration of the devices. The dual theory is used in the inner optimization configuration to build a robust model, and the optimal annual operating cost considering pollutant emissions and energy purchase costs is the objective function to obtain the optimal scheduling of each device. Finally, taking the CCHP system of a certain park as the research object, the double-layer collaborative optimization configuration method proposed in this paper is used to optimize the configuration of the system. The simulation results verify the effectiveness of the proposed method, which can effectively realize the collaborative optimization of the system with both economy and environmental protection.

Key words: combined cooling, heating and power (CCHP) system, two-layer optimization configuration, NSGAⅡ algorithm, duality theory, robust model

中图分类号:

TM732

江卓翰, 刘志刚, 许加柱, 伍敏, 谢欣涛, 侯益灵. 计及风光储的冷热电联供系统双层协同优化配置方法[J]. 电力建设, 2021, 42(8): 71-80.

JIANG Zhuohan, LIU Zhigang, XU Jiazhu, WU Min, XIE Xintao, HOU Yiling. Two-Layer Collaborative Optimization Configuration Method for CCHP System with Wind-Solar-Storage[J]. ELECTRIC POWER CONSTRUCTION, 2021, 42(8): 71-80.

图/表 12

图1 含风光储的冷热电联供系统结构

Fig.1 Structure of a CCHP system with wind power, solar power and energy storage

图2 双层优化求解流程

Fig.2 Flowchart of two-layer optimization solution

图3 典型日冷热电负荷

Fig.3 Typical daily load

图4 风、光日出力曲线

Fig.4 Daily output curve of wind and solar power

表1 设备的经济技术参数

Table 1 Economic and technical parameters of the devices

表2 分时电价

Table 2 Time-of-use price

图5 外层多目标优化的帕累托前沿解

Fig.5 Pareto frontier solution for outer multi-objective optimization

表3 设备容量配置方案

Table 3 Device configuration plan

图6 各季节CCHP运行出力

Fig.6 CCHP operation output with different seasons

图7 储能装置在不同季节的荷电状态

Fig.7 SOC of the battery in different seasons

表4 不同场景下的运行成本

Table 4 Operating costs in different scenarios

表5 不同鲁棒参数下的运行成本

Table 5 Operating costs under different robust parameters

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计及风光储的冷热电联供系统双层协同优化配置方法

Two-Layer Collaborative Optimization Configuration Method for CCHP System with Wind-Solar-Storage

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