基于区域能源中心的居民电——热用能多目标优化

doi:10.12204/j.issn.1000-7229.2021.02.008

摘要/Abstract

摘要：

针对当前居民用能优化仅考虑单一电能的不足,文章提出了一种新的耦合居民侧能源转换电器和区域能源中心(district energy centre,DEC)的居民电-热用能多目标优化方法。为实现通用性,基于能源集线器的概念,首次提出了耦合DEC的居民用能通用化建模方法。进一步,通过构建以居民购能成本和用户不舒适性最小为目标,居民能源转换电器、DEC内的能源转换和储存设备输入功率为决策变量,计及可行性约束和安全性约束的混合整数二次规划模型,实现居民电-热用能多目标优化。同时为求取多目标最优折中解,基于模糊隶属度函数引入Pareto最优解满意度指标。最后,以某区域冬季居民用能优化为例开展了算例验证和对比分析。结果表明,居民能源转换电器与DEC耦合协调运行,同时优化居民电-热用能,可有效降低居民用能成本,且所提出的多目标优化调度模型,兼顾用户的经济性和舒适性,能够为用户提供考虑多要素的用能优化方案。

关键词: 区域能源中心(DEC), 能源转换电器, 居民用能优化, 多目标优化

Abstract:

For the shortage of only electricity being considered in the resident energy consumption optimization, a new multi-objective optimization method for residential energy consumption coupling electricity-heat energy conversion appliances and district energy center (DEC) is proposed in this paper. To achieve generality, a general modeling method for resident consumption with DEC coupled is proposed according to the concept of energy hub at first time. Further, by constructing a mixed integer quadratic programming model which takes the minimum energy cost and least user discomfort as the object, the method takes the input power of residential energy conversion appliances and the energy conversion and storage equipment in DEC as the decision variables, and takes the feasibility and safety constraints into account. The multi-objective optimization of residential electricity-thermal energy consumption is realized. At the same time, to obtain the multi-objective optimal compromise solution, the satisfaction index of Pareto optimal solution is introduced according to fuzzy membership function. Finally, the verification and comparative analysis of the proposed algorithm are carried on energy consumption optimization for residents in a certain area in winter. The results show that the coupling and coordinated operation of household energy conversion appliances and DEC can optimize residential electricity and heat energy consumption at the same time and reduce the cost of residential energy consumption efficiently. Besides, the proposed multi-objective optimization scheduling model can provide users with multi-factor optimization scheme considering the economy and comfort of users.

Key words: district energy center (DEC), energy conversion appliances, resident energy consumption optimization, multi-objective optimization

中图分类号:

TM73

匡萃浙, 张勇军, 王群, 邹舟诣奥. 基于区域能源中心的居民电——热用能多目标优化[J]. 电力建设, 2021, 42(2): 58-67.

KUANG Cuizhe, ZHANG Yongjun, WANG Qun, ZOU Zhouyiao. District Energy Center-Based Multi-Objective Optimization of Resident Electricity-Heat Energy Consumption[J]. ELECTRIC POWER CONSTRUCTION, 2021, 42(2): 58-67.

图/表 14

图1 耦合DEC的居民用能系统

Fig.1 Resident energy consumption system coupled with DEC

图2 某区域耦合DEC的居民用能系统

Fig.2 Resident energy consumption system coupled with DEC in a district

图3 区域居民用能优化的Pareto前沿

Fig.3 Pareto frontier of resident energy consumption optimization

图4 最优折中解用户用能来源分布

Fig.4 User energy source distribution under optimal compromise solution

表1 不同优化目标结果对比

Table 1 Comparison of results in different optimization objectives

表2 2种方法用户用能成本对比

Table 2 User energy cost comparison of the two methods

表A1 能源转换设备和电器参数

Table A1 Parameters of energy converters and conversion appliances

表A2 能源储存设备参数

Table A2 Parameters of energy storage equipment

表A3 文献[13]应用场景下能源转换设备和电器参数

Table A3 Parameters of energy converters and conversion appliances in the application scene of reference[13]

图A1 电价和天然气价格时序曲线

Fig.A1 Time series curves of electricity price and natural gas price

图A2 室外温度和冷水温度曲线

Fig.A2 Curves of outdoor temperature and cold-water temperature

图A3 居民电负荷和热水需求量预测曲线

Fig.A3 Prediction curves of residential electrical load and hot water demand

图A4 光伏出力曲线

Fig.A4 Output curve of photovoltaic power

图A5 用户的热负荷曲线

Fig.A5 Curve of user heat load

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