基于生-光耦合利用的乡村电-热综合能源系统规划

doi:10.12204/j.issn.1000-7229.2023.03.001

摘要/Abstract

摘要：

中国农村地区的太阳能、生物质能等可再生能源十分丰富,但能源利用率较低,污染较为严重。针对生物质能、太阳能等清洁可再生能源接入的乡村场景,考虑热网传输特性与农业生产负荷可调性,提出了一种基于生-光耦合利用的乡村电-热综合能源系统多目标规划方法。首先,基于生物质与太阳能资源的耦合利用构建了乡村综合能源系统典型架构,同时对热网虚拟储能功能、农业生产可调控负荷以及系统关键设备进行建模分析,并提出相关运行策略;其次,构建了兼顾经济性、环保性以及能效性的乡村综合能源系统规划优化模型,考虑投资能力、设备运行和能量平衡等约束,采用基于莱维飞行的粒子群优化算法(particle swarm optimization algorithm based on Levy flight,LPSO)求解规划优化方案;最后,以中国北方某县所属村镇为例进行规划仿真,结果表明所提方法是合理且有效的。

关键词: 乡村电-热综合能源系统, 生-光耦合, 虚拟热储能, 多目标

Abstract:

Renewable energy sources such as solar energy and biomass energy are abundant in rural areas of China, but the energy utilization rate is low and pollution is serious. Aiming at the rural scene where clean renewable energy sources such as biomass and solar energy are connected, a multi-objective planning method based on the coupling utilization of biomass and solar power for rural electricity-heat integrated energy system is proposed, considering the transmission characteristics of heat network and the adjustable agricultural production load. Firstly, a typical architecture of rural integrated energy system is constructed considering the coupling utilization of biomass and solar energy resources. At the same time, the virtual energy storage function of thermal network, adjustable load of agricultural production and key equipment of the system are modeled and analyzed, and relevant operation strategies are proposed. Secondly, a planning and optimization model for rural integrated energy system is constructed, which takes into account economy, environmental protection and energy efficiency. Considering constraints such as investment capacity, equipment operation and energy balance, the Levy flight-based particle swarm optimization algorithm (LPSO) is used to solve the planning optimization scheme. Finally, the simulation is carried out in a village and town of a county in northern China, and the results show that the proposed method is reasonable and effective.

Key words: rural electricity-heat integrated energy system, biomass-solar coupling, virtual thermal energy storage, multi-objective

中图分类号:

TM715

王永利, 韩煦, 刘晨, 蔡成聪, 周泯含, 马子奔. 基于生-光耦合利用的乡村电-热综合能源系统规划[J]. 电力建设, 2023, 44(3): 1-14.

WANG Yongli, HAN Xu, LIU Chen, CAI Chengcong, ZHOU Minhan, MA Ziben. Rural Electricity-Heat Integrated Energy System Planning Based on Coupling Utilization of Biomass and Solar Resources[J]. ELECTRIC POWER CONSTRUCTION, 2023, 44(3): 1-14.

图/表 17

图1 基于生-光耦合的乡村电-热综合能源系统架构

Fig.1 Architecture of rural electricity-heat integrated energy system based on biomass-solar coupling

图2 热力系统结构

Fig.2 Diagram of thermal system structure

图3 热力系统传输特性

Fig.3 Transmission characteristics of thermal system

图4 热发电机组的能量流动关系

Fig.4 Energy-flow relationship of thermal generator sets

图5 LPSO算法流程

Fig.5 Flow chart of LPSO algorithm

表1 设备基础数据

Table 1 Basic data of equipment

图6 热网节点结构

Fig.6 Node structure of the heat network

图7 基本数据

Fig.7 Basic data

图8 算法对比

Fig.8 Comparison of algorithms

图9 三维帕累托图

Fig.9 Three-dimension Pareto diagram

表2 场景设置

Table 2 Scene setup sheet

表3 不同场景下的各类设备的配置规划

Table 3 All types of equipment under different scenarioskW

表4 不同场景下的规划目标结果

Table 4 Planning results under different scenarios

图10 典型日基本数据

Fig.10 Typical daily basic data

图11 典型日热系统出力对比

Fig.11 Comparison of typical daily heating system output

图12 典型日电系统出力对比

Fig.12 Comparison of typical daily electricity system output

表5 各场景下运行指标对比

Table 5 Comparison of operating indicators in various scenarios

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