Day-ahead Sharing Model of Multi-integrated Energy Community Considering Source-Load Matching Degree

doi:10.12204/j.issn.1000-7229.2021.01.003

Abstract

Abstract:

The limited regulation capacity in the integrated energy community is a key factor restricting the development of the community-based integrated (distributed) energy system. For that reason, a model for optimal sharing of day-ahead energy in multi-communities considering the matching degree of source and load curves among communities is proposed. Firstly, the relationship between energy supply structure and multi-energy flow is analyzed concretely in a single community. A mathematical model is built that includes electric vehicles and multiple energy conversion equipment, and an objective function is established that minimizes the cost of energy purchase, equipment operation and maintenance, and electric vehicle battery loss costs. Secondly, the comprehensive Spearman constant and Euclidean distance matching index is considered according to photovoltaic and load data among the communities, and the multi-community operation efficiency is optimized with the goal of minimizing the energy interaction cost. Finally, through a 3-community simulation system, the results show that the multi-energy sharing mode can effectively improve the overall economy of the system and the photovoltaic power consumption capacity. The introduction of matching indices in the model also improves the energy transmission efficiency, which verifies the rationality of the proposed model.

Key words: integrated energy community, matching index, micro-combustion unit, electric vehicle, day-ahead cost

CLC Number:

TM73

LUO Xiaojun, WEI Zhenbo, TIAN Ke, FANG Tao. Day-ahead Sharing Model of Multi-integrated Energy Community Considering Source-Load Matching Degree[J]. ELECTRIC POWER CONSTRUCTION, 2021, 42(1): 20-27.

Figures/Tables 16

Fig.1 Organizational structure of a community energy network

Fig.2 Diagram of community internal energy flow

Fig.3 Spearman weakness analysis

Fig.4 Euclidean distance weakness analysis

Fig.5 Daily load power curve of community 1

Fig.6 Daily load power curve of community 2

Fig.7 Daily load power curve of community 3

Table 1 Parameter settings of micro-combustion unit and electric vehicle

Table 2 Electricity parameter

Fig.8 Sensitivity analysis of match value

Fig.9 Community power interaction in scene 2

Fig.10 Community power interaction in scene 3

Fig.11 Power balance in community 1

Fig.12 Power balance in community 2

Fig.13 Power balance in community 3

Table 3 Community cost comparison under various scenes

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