计及节能性的多异质能源系统多目标协同优化

doi:10.11930/j.issn.1004-9649.202211022

中国电力 ›› 2023, Vol. 56 ›› Issue (6): 148-157.DOI: 10.11930/j.issn.1004-9649.202211022

计及节能性的多异质能源系统多目标协同优化

陈泉¹, 宗炫君^1,2, 李梦源³

1. 国网江苏省电力有限公司经济技术研究院，江苏南京 210000;
2. 河海大学能源与电气学院，江苏南京 211100;
3. 国家电网有限公司，北京 100031

收稿日期:2022-11-05 修回日期:2023-04-05 发布日期:2023-07-04
作者简介:陈泉（1978—），男，硕士，高级工程师，从事能源战略、电力系统发展与规划研究，E-mail：cquan@js.sgcc.com.cn;宗炫君（1990—），女，通信作者，博士研究生，高级工程师，从事电力系统可靠性、综合能源系统建模与优化运行研究，E-mail：jssfnxzxj@126.com;李梦源（1991—），女，硕士，工程师，从事综合能源服务、输配电设备运行管理等研究，E-mail：mengyuan-li@sgcc.com.cn
基金资助:
国家自然科学基金资助项目（微网安全风险评估研究，51477041）

Multi-objective Cooperative Optimization of Multi-heterogeneous Energy System Considering Energy Conservation

CHEN Quan¹, ZONG Xuanjun^1,2, LI Mengyuan³

1. State Grid Jiangsu Electric Power Co., Ltd., Economic Research Institute, Nanjing 210000, China;
2. College of Energy and Electrical Engineering, Hohai University, Nanjing 211100, China;
3. State Grid Corporation of China, Beijing 100031, China

Received:2022-11-05 Revised:2023-04-05 Published:2023-07-04
Supported by:
This work is supported by National Natural Science Foundation of China (Research on Microgrid Security Risk Assessment, No.51477041).

摘要/Abstract

摘要： 多异质能源系统规划与运行往往仅考虑单一优化目标，不利于在经济运行、低碳排放与能源节约之间平衡，为此提出计及节能性的多维目标协同优化方法。首先，提出同时考虑系统经济性、环保性及节能性的多维优化目标，并通过对系统中的能源转换和分配等设备进行建模，建立多异质能源系统的多目标优化模型框架；然后，采用第三代快速非支配排序多目标遗传优化算法求解，得到最优可行解集（帕累托最优解集）；最后，基于仿真案例，通过最优解集和决策者偏好分析，验证所提方法的有效性，同时表明计及节能性目标能避免系统过度倾向消耗天然气能源。

关键词: 多异质能源系统, 多目标, 协同优化, NSGA-Ⅲ, 节能性

Abstract: The planning and operation of multi-heterogeneous energy systems often only considers a single optimization objective, which is not conducive to the balanced among economic operation, low carbon emission and energy conservation. This paper proposes a multi-dimensional objective collaborative optimization method that considers energy saving. Firstly, a multi-dimensional optimization objective is proposed with consideration of system economy, environmental protection and energy saving, and a multi-objective optimization model framework for multi-heterogeneous energy system is established by modeling energy conversion and distribution equipment in the system. Then, the NSGA-Ⅲ (non-dominated sorting genetic algorithm Ⅲ) is utilized to solve the multi-objective collaborative optimization model proposed in this paper, and the optimal feasible solution set (Pareto optimal solution set) is obtained. Finally, based on the simulation example, the effectiveness of the proposed method is verified through analysis of the optimal solution set and decision-maker preference. It is also demonstrated that considering the objective of energy conservation can avoid the system's excessive preference to consuming natural gas energy.

Key words: multi-heterogeneous energy system, multi-objective, collaborative optimization, NSGA-Ⅲ, energy conservation

陈泉, 宗炫君, 李梦源. 计及节能性的多异质能源系统多目标协同优化[J]. 中国电力, 2023, 56(6): 148-157.

CHEN Quan, ZONG Xuanjun, LI Mengyuan. Multi-objective Cooperative Optimization of Multi-heterogeneous Energy System Considering Energy Conservation[J]. Electric Power, 2023, 56(6): 148-157.

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计及节能性的多异质能源系统多目标协同优化

Multi-objective Cooperative Optimization of Multi-heterogeneous Energy System Considering Energy Conservation

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计及节能性的多异质能源系统多目标协同优化

Multi-objective Cooperative Optimization of Multi-heterogeneous Energy System Considering Energy Conservation

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