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Research On Distributed Operational Optimization Algorithm For Microgrid Based On Potential Game

Posted on:2020-06-06Degree:MasterType:Thesis
Country:ChinaCandidate:Q Q WangFull Text:PDF
GTID:2392330590984569Subject:Power electronics and electric drive
Abstract/Summary:PDF Full Text Request
In view of Internet of energy and the development of smart grid,a large number of applications of information technology,microgrid(as a "building block" of smart grid)is facing new challenges: its openness and individual(resource/energy storage/load)intelligence & self-interests are further strengthened;energy management system is expected to be scalable to accommodate various participants,support plug-and-play(PNP),and optimize energy utilization.This paper put forward a completely distributed operational optimization approach based on the potential game theory to break the centralized optimization idea of micro-source-side optimization or demand-side management,and to establish the distributed operation optimization structure of resource-storage-load interaction.It realized fully distributed operational optimization for microgrid.The main work includes :(1)Starting from the common point(distribution)of microgrid and potential game,it proposed an algorithm design approach that is building the mapping model of game three elements.That is to map the microgrid individuals and their benefits and constraints into game players and their utility functions and strategy sets.Then the distributed interactive logic structure is designed.It further put forward an implementation of distributed operational optimization by multi-agent system,and demonstrated the feasibility of game mapping modeling approach from three aspects of structure,system and algorithm.(2)Based on the algorithm design approach mentioned above,a distributed single objective operational optimization algorithm based on potential game is proposed.The potential game optimization model of source-storage-load interaction is established with full consideration of the independence and intelligence of micro source,energy storage and load.According to the definition of the exact potential game,it is proved that the distributed single-objective optimization,which focuses on economy,is realized by using penalty function method to deal with global constraints and solving Nash equilibrium iteratively in a distributed way through optimal strategy response.(3)Although the distributed single objective operational optimization algorithm is simple and fast,it cannot solve the distributed optimization problem of multi-dimensional objective and multi-dimensional decision variable.A distributed multi-objective optimization model of source-storage-load interaction was established by distinguishing individual self-interested objectives of different types.The constraint dominance principlewas proposed to deal with global constraints.The distributed iterative solution of the model was completed by combining with the MOPSO algorithm.This paper shows that the proposed distributed operational optimization algorithm has the following characteristics: 1)completely distributed,equal and independent decision-making for resource-storage-load without central processor or coordinator;2)open and dynamic,supporting PNP of different types and numbers of individuals;3)ensuring the consistency between individual rationality and overall interests.Therefore,the research on the distributed operation optimization algorithm of microgrid based on potential game in this paper takes full account of the openness,individual self-interest,intelligence and greenness of microgrid,which is a practical and feasible idea to realize the distributed operation optimization of microgrid.
Keywords/Search Tags:microgrid, potential game, energy management, distributed operational optimization, renewable energy, demand response
PDF Full Text Request
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