| Energy is an important material foundation for human survival and civilization development,as well as the source of social economy development.Improving energy efficiency and ensuring effective energy supply have become an inevitable choice for solving the conflict between energy supply and demand,as well as the contradiction between social development and environmental protection.In recent years,with the introduction of energy Internet related concepts and the continuous deepening of demonstration construction,it will be the development trend of future energy supply system to break the existing mode of planning and operation separately of the original energy supply system,and realize the horizontal "electricity-gas-heat-cold" multi energy complementary,and vertical "source-network-load-storage" coordinated optimization.However,with the deepening of complementary coupling level of various kinds of energy,new demands are put forward for the research of key technologies such as operation,planning and market.For this reason,the key node of the construction of the energy Internet,namely the multi-energy microgrid is taken as the research object in this paper,and a comprehensive study has been conducted on the key scientific issues of evaluation,operation,planning and market wherein.The main work is as follows:(1)In the aspect of load modeling,in order to fully analyze the energy consumption characteristics of the end users of the multi-energy microgrid,realize the accurate description of the user’s energy consumption situation,and provide load aspect prediction,analysis and support for the system operation and planning,a modeling method of typical user’s energy consumption characteristics considering the physical characteristics and behavior factors is proposed in this paper.Through the Markov chain and non-intrusive load decomposition method,the simulation of user’s energy consumption behavior is realized,and combined with the refined modeling of energy-using equipment,the description method of user energy-using situation is further proposed,so as to predict and analyze the composition of energy specifically while analyzing and simulating the user’s load curve.(2)In the aspect of reliability evaluation,in order to fully analyze the impact of different energy grades and energy storage configuration on the system energy supply reliability,to achieve the accurate evaluation of the system energy supply reliability,thus provide the reference and guidance for the system planning scheme at the reliability level,a method considering the grade differences was proposed for evaluating the reliability of the multi-energy microgrid with energy storage in this paper.From different dimensions including time,energy,economy,etc.,the multi-energy microgrid energy supply reliability evaluation indexes are proposed.Through the method that combines failure mode and effects analysis and Monte Carlo simulation,a multi scenario integrated energy supply reliability evaluation method is proposed,which takes into account the difference of multi energy grade,different equipment operation strategies and configuration schemes,and the influence of factors such as multi-energy coupling,energy storage equipment configuration,energy storage equipment operation strategy,etc.on energy supply reliability are quantitatively analyzed through evaluation indexes.(3)In the aspect of operation scheduling,in order to fully analyze the game relationship between different agents in the multi-energy microgrid,realize the accurate regulation of multi-energy microgrid operation under the optimal goal of multi-agent economy,and explore the application of artificial intelligence method in the multi-energy microgrid scheduling,a hierarchical operation optimization learning model of multi-energy microgrid considering multi-agent game is proposed in this paper.An analytic process in hierarchy for operation scheduling of multi-energy microgrid is proposed,which includes decision-making,operation and equipment.According to different functions,a systematic artificial intelligence scheduling method based on Nash Q-learning and Petri net is proposed.(4)In the aspect of planning and configuration,in order to fully analyze the coordination relationship between the economy and reliability of multi-energy microgrid in the planning,so that the energy supply reliability of the planning scheme can meet the expected requirements,and at the same time,the comprehensive economy during the planning period is the optimal one,so as to provide guidance for the future construction of integrated energy system and even the energy Internet,a multi-energy microgrid planning method considering the energy supply reliability is proposed.A bi-level alternate optimization framework of system planning and operation with embedded refined operation strategy is constructed,and an equipment capacity configuration model in multi-energy microgrid is constructed for the purpose of optimizing the system comprehensive economy and energy supply reliability.Thus,the optimal configuration of equipment capacity is combined with operation strategy,and the planning of equipment type and capacity within multi-energy microgrid is realized.(5)In the aspect of market construction,in order to fully consider the impact of the multi-energy substitution and demand response for both supply part and demand part in the energy market,as well as analyze the coordination relationship between the markets at regional-level and user-level,and then provide guidance for the future construction of integrated energy service market,a regional integrated energy system joint market that considers demand flexibility is constructed in this paper.The construction includes a joint market framework for a regional-user level integrated energy system.The trading mechanism and control method of regional-level energy coupling market and user-level P2 P distributed trading market are proposed herein,and the trading behavior and influencing factors of different market participants are analyzed,as well as the interaction between regional and user level markets. |
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