Multi-objective Evolutionary Game of Micro Energy Grid Considering Multi-energy Flexible Load Scheduling

doi:10.12204/j.issn.1000-7229.2020.11.011

Abstract

Abstract:

This paper proposes a multi-objective evolutionary game model between micro energy grid and users on the basis of flexible load scheduling optimization. Comprehensively consider the requirements of the micro energy grid and the user’s optimization goals and related constraints, the objective function of the game is to maximize the profit of micro-energy network, maximize the efficiency of energy utilization, minimize the cost of energy consumption and maximize the satisfaction of energy consumption. And the dual-objective functions of different dimensions of the participants are normalized by means of the modulus and the dual-objective method. In the game process, users adjust the energy consumption strategy through flexible load scheduling, and the micro-energy grid side adjusts the energy sales price according to the user’s energy consumption behavior, and finally reaches the evolutionary stable state. Through the establishment of different scenarios for example analysis, the results show that the proposed micro energy grid and user evolution game model that considers the participation of flexible loads can not only enhance the flexible adjustment capacity of the integrated energy system, but also alleviate the problem of supply shortage during peak energy consumption. Moreover, the utilization efficiency of the energy system and the comprehensive income of the micro energy grid have been significantly improved. To a certain extent, the user’s payment cost has been reduced, and the user satisfaction on energy consumption has been improved.

Key words: micro energy grid, flexible load, evolutionary game, multi-objective optimization

CLC Number:

TM73

GENG Shiping, NIU Dongxiao, GUO Xiaopeng, CHEN Meng, TAN Caixia. Multi-objective Evolutionary Game of Micro Energy Grid Considering Multi-energy Flexible Load Scheduling[J]. ELECTRIC POWER CONSTRUCTION, 2020, 41(11): 101-115.

Figures/Tables 20

Fig.1 Transaction framework between micro energy grid and multi-type users

Fig.2 Evolutionary game ideas

Fig.3 Membership distribution graph of objective function of micro energy grid

Fig.4 Schematic diagram of user energy consumption surplus

Fig.5 Membership degree distribution graph of user objective function

Fig.6 Flowchart for solving evolutionary game

Table 1 Operating parameters of IES equipment

Table 2 Parameters of energy storage device

Table 3 Time-of-use electricity price

Fig.7 Daily load and scenery output curve

Table 4 Parameter settings of flexible load

Fig.8 Multi-objective variation curve of micro energy grid

Fig.9 User multi-objective variation curve

Fig.10 Distribution of flexible electrical load

Fig.11 Optimized output of power load equipment

Fig.12 Distribution of flexible thermal load

Fig.13 Optimized output of heat load equipment

Fig.14 Distribution of flexible cooling load

Fig.15 Optimized output of cooling equipment

Table 5 Game results in different scenarios

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