Optimal Operation of Multiple Energy System Based on Multi-Objective Theory and Grey Theory

Abstract

The manufacturing industry consumes electricity and natural gas to provide the power and heat required for manufacturing. Additionally, large amounts of electric energy and heat energy are used, and the electricity cost, amount of environmental pollution, and equipment maintenance cost are high. Thus, optimizing the management of equipment with new energy is important to satisfy the load demand from the system. This paper formulates the scheduling problem of these multiple energy systems as a multi-objective linear regression model (MLRM), and an energy management system is designed focusing on the economy and on greenhouse gas emissions. Furthermore, a variety of optimization objectives and constraints are proposed to make the energy management scheme more practical. Then, grey theory is combined with the common MLRM to accurately represent the uncertainty in the system and to make the model better reflect the actual situation. This paper takes load fluctuation, total grid operation cost, and environmental pollution value as reference standards to measure the effect of the gray optimization algorithm. Lastly, the model is applied to optimize the energy supply plan and its performance is demonstrated using numerical examples. The verification results meet the optimized operating conditions of the multi-energy microgrid system.

Multi-Criteria Optimal Design for FUEL Cell Hybrid Power Sources

“…The study was carried out with three performance indexes (energy consumption, reliability, volume), for which the results involve three-dimension mapping. It is realized for a ponderation from 0% to 100% The global volume of the architecture is thus given in Equation ( 10): (10) with Index Vol , the estimated volume of the architecture; P Spec FC and E Spec Bat, the specific power of FC technologies and the specific energy of the Li-Ion Bat technologies; P FC and C Bat , the sized power of the FC and the size capacity of the BAT; V acc , a constant volume to consider the accessory architecture volume (converter for example); and Z 1 , Z 2 , coefficients to tune the ponderation between each volume in the global volume estimation.…”

“…The traditional approaches Energies 2022, 15, 3364 2 of 18 provide a local solution around the rated operating point. To expand the range of operating points and improve their performance, systematic approaches have been introduced [7,8], based on a sequential process using several individual optimizations or relying on a multiobjective optimization [9][10][11][12][13][14]. Their feasibility is dependent on the trade-off between formulation complexity, computational time, and exploration capabilities.…”

Research on multi-objective collaborative control of complex product development in equipment manufacturing industry

“…It is proved by the data that the average financing efficiency of the industry is moderate, and external financing has positive and negative effects on the financing efficiency and labor input of enterprises, respectively. The literature [17] formulated the scheduling problem of a multi-energy consuming system in manufacturing as a MLRM and designed an energy management system with an economic and greenhouse gas emission focus. Then, the gray theory is combined with ordinary MLRM and load fluctuation, total cost and environmental pollution value are used as reference standards to measure the effectiveness of the gray optimization method.…”

Fuzzy gray clustering evaluation of green building operation effect: a case study of Shenzhen Bay One, China

“…Due to the objective uncertainty and complexity of the evaluation problem and the limitation of the knowledge and ability of the evaluator, there is often a large amount of fuzzy information. The use of gray theory can better integrate the influence of various influencing factors on the operation effect of green building, and can effectively face the unknown information as well as objectively reflect the system essential (Hu et al. , 2022).…”

“…Due to the objective uncertainty and complexity of the evaluation problem and the limitation of the knowledge and ability of the evaluator, there is often a large amount of fuzzy information. The use of gray theory can better integrate the influence of various influencing factors on the operation effect of green building, and can effectively face the unknown information as well as objectively reflect the system essential (Hu et al, 2022). The fuzzy mathematical method can solve the uncertainty and fuzziness among the factors in the evaluation system and can assess the actual effect of green buildings in the operation stage in a more scientific and reasonable way.…”