Multi‐scenario comprehensive benefit evaluation model of a multi‐energy micro‐grid based on the matter‐element extension model

Abstract

Integrated energy systems and multi‐energy micro‐grids are complex multi‐agent collaborative optimization projects. According to the operating structure and characteristics of the multi‐energy system, considering the externality, economy and other factors, a scientific and effective comprehensive evaluation are important decision supports to ensure its implementation and promote its development. Therefore, this paper proposes a comprehensive benefit evaluation model of a multi‐energy micro‐grid based on the matter‐element extension model. With the research trends and practical requirements of multi‐energy micro‐grid benefit evaluation, an evaluation index system covering energy efficiency indicators, economic indicators, reliability indicators, and renewable energy consumption indicators has been constructed, and uncertainties have been resolved in cloud model and fuzzy set theory. Based on the advantages of the performance evaluation information, the system operation scenarios in the process of planning scheme formation are fully considered, and then a matter‐element‐extensible multi‐attribute decision‐making model is proposed to evaluate the comprehensive benefits of multi‐energy micro‐grids. Finally, the feasibility of the above method is verified by comparing the comprehensive benefit evaluation results of the multi‐energy micro‐grid under different planning scenarios. In addition, a certain decision‐making reference is provided for the formation of a multi‐energy micro‐grid configuration scheme.

Research on the Evaluation of Multi-Energy Microgrid under the Background of New Power System

“…Based on the traditional matter-element extension theory, this paper constructed a multi-energy microgrid benefit evaluation model by using AHP-VWT-MEEM method [21]. e specific evaluation steps are as follows.…”

Joint energy and flexiramp market equilibrium model for regional‐integrated electricity‐heat systems considering flexibility exploitation of district heating networks

“…Clearly, the market participants in RIES are microgrids (MGs) that integrate multi-energy coupling facilities. [17][18][19][20] In the context of the research tendency, an integrated energy system with multi-energy microgrids is studied as complex multi-agent optimization projects in. 17 A hybrid sharing framework of energy transactions between multiple microgrids is proposed to improve the flexibility of the thermoelectric integrated energy system.…”

“…[17][18][19][20] In the context of the research tendency, an integrated energy system with multi-energy microgrids is studied as complex multi-agent optimization projects in. 17 A hybrid sharing framework of energy transactions between multiple microgrids is proposed to improve the flexibility of the thermoelectric integrated energy system. 18 Based on demand response, a distributed multi-agent optimization model is constructed in, 19 which effectively reduces the operating cost of the system.…”

A Comprehensive Evaluation Method for Planning and Design of Self-Sufficient Wind Power Energy Systems at Ports

“…Numerous methods have been developed to evaluate energy systems, including subjective qualitative and objective empowerment approaches. These methods include hierarchical analysis [15], linear programming [16], fuzzy evaluation [17,18], the anti-entropy weighting method [19], data envelopment analysis [20], object element topology [21], etc. Due to the complexity of the energy system and the diversity of evaluation indicators, previous studies have attempted to integrate these evaluation methods.…”