考虑电转气和可平移负荷的区域综合能源系统优化运行

doi:10.12204/j.issn.1000-7229.2020.12.010

摘要/Abstract

摘要：

针对可再生能源发电的消纳以及冷热电负荷需求不匹配问题,文章在原有区域综合能源系统(regional integrated energy system,RIES)的基础上,引入电转气(power to gas,P2G)技术,同时结合综合能源系统内不同种类可平移负荷的用能特性,建立了各类可平移负荷模型,对冷热电负荷平移,利用内点法求解可平移负荷模型,建立涵盖经济、能源及环境等多方面的多目标系统运行优化模型,采用粒子群优化算法获得Pareto非劣解集,并利用模糊理论获得折中解。在算例中设置多种场景,仿真分析考虑负荷平移和电转气技术的区域综合能源系统在降低系统运行成本、削峰填谷等方面的优势,从而验证所搭建模型的有效性。

关键词: 区域综合能源系统(RIES), 电转气(P2G), 可平移负荷, 运行优化

Abstract:

Aimed at the problem of the accommodation of renewable energy power and the mismatch of cooling, heat and electric load demand, this paper introduces power to gas (P2G) technology into the original regional integrated energy system (IES), and combines the electric characteristics of various types of shiftable loads in the IES, a model of shiftable load is established, and the translation of cooling, heating, and electric loads is performed using the interior point to solve the model of shiftable load. A multi-objective system optimization operation model covering economics, energy and environment is established. The particle swarm optimization algorithm is used to obtain Pareto non-inferior solution sets, and a fuzzy theory is used to obtain a compromise solution. A variety of scenarios are set up in the calculation example, and the simulation analysis considers the advantages of the regional IES in terms of load shifting and power-to-gas technology in peak regulation, reducing operating costs, etc., thereby the effectiveness of the proposed model and optimization results is verified.

Key words: regional integrated energy system(RIES), power to gas(P2G), shiftable load, operation optimization

中图分类号:

TM73

张亚迪, 孙欣, 谢敬东, 孙波, 何志涛. 考虑电转气和可平移负荷的区域综合能源系统优化运行[J]. 电力建设, 2020, 41(12): 102-111.

ZHANG Yadi, SUN Xin, XIE Jingdong, SUN Bo, HE Zhitao. Optimized Operation of Regional Integrated Energy System Considering Power-to-Gas and Shiftable Load[J]. ELECTRIC POWER CONSTRUCTION, 2020, 41(12): 102-111.

图/表 16

图1 储能技术比较

Fig.1 Comparison of energy storage technologies

图2 区域综合能源系统示意图

Fig.2 Schematic diagram of a RIES

图3 算法流程

Fig.3 Flow chart of the algorithm

图4 各季节典型日负荷数据

Fig.4 Typical daily load for each season

表1 分时电价

Table 1 Time-of-use price元/(kW·h)

表2 可平移负荷用电特性

Table 2 Load consumption characteristic of shift loadskW

图5 夏季系统负荷平移结果

Fig.5 Load shifting result in summer

图6 冬季系统负荷平移结果

Fig.6 Load shifting result in winter

图7 夏季各场景电功率优化结果

Fig.7 Summer electric power optimization results in various scenarios

图8 夏季各场景冷功率优化结果

Fig.8 Summer cooling power optimization results in various scenarios

图9 夏季不同场景Pareto前沿

Fig.9 Different scenes of pareto frontier in summer

表3 夏季不同场景折中解

Table 3 Eclectic solutions for different scenes in summer

图10 冬季各场景电功率优化结果

Fig.10 Winter electric power optimization results in various scenarios

图11 冬季各场景热功率优化结果

Fig.11 Winter thermal power optimization results in various scenarios

图12 冬季不同场景Pareto前沿

Fig.12 Different scenes of pareto frontier in winter

表4 冬季不同场景折中解

Table 4 Eclectic solutions for different scenes in winter

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