| With the development of the economy,the importance of energy issues has become increasingly prominent.However,traditional fossil fuels are faced with the problems of resource depletion and environmental pollution.Therefore,it is urgent to vigorously develop renewable energy.As an effective access form of renewable energy,microgrid has attracted extensive attention.However,the limited capacity of a single microgrid has affected its power supply reliability to a certain extent,the interconnected operation direction of adjacent microgrids is developing,and multiple microgrids in a certain area form a cluster network to operate,which has great advantages in improving economy and power supply reliability.Therefore,it is of great significance to study the coordinated optimal dispatching operation of multiple microgrids.This paper conducts in-depth research on the above issues.The specific research contents are mainly divided into the following aspects:(1)According to the analysis of various existing distributed power supply principles in the multi-microgrid system,the corresponding mathematical models of wind turbines,photovoltaics,generator sets,fuel cells and energy storage systems are established to provide the corresponding mathematical theoretical basis for subsequent research content.The multi-agent structure is introduced,and a three-layer hybrid control structure of multi-microgrid system based on MAS theory is established,including the top-level multi-microgrid layer agent,the middle-level microgrid layer agent,and the bottom distributed power layer agent,which lays a foundation for the realization of optimal dispatching of multi-microgrid system.(2)To overcome the problems of low convergence accuracy of whale optimization algorithm(WOA)and easy to fall into local optimum,an adaptive dynamic whale optimization algorithm based on multi-strategy improvement(MSIWOA)is proposed.First,the cubic chaotic map initialization was introduced to improve the ergodicity of the initial solution of the population;secondly,the adaptive inertia weight was introduced and improved the convergence factor to make it non-linear adjustment,which balanced the global search and local search capabilities;finally,the spiral search equation was improved to enable the whale to dynamically adjust the search shape,which improved the algorithm’s global search ability to break through the local optimum.;and generalized opposition-based learning was introduce to enhance the algorithm’s ability to jump out of the local optimal.Through the simulation verification of 12 benchmark test functions,the results show that the improved algorithm effectively improves the convergence accuracy of the algorithm and verifies the effectiveness of the improved algorithm.(3)The interconnection of multiple microgrids can effectively improve the operating efficiency of the system and reduce the cost of power generation.Taking multiple microgrids as the research object,an optimal scheduling model for regional interconn ected microgrids is established,and taking environmental factors into account,the minimum optimization objective considering economic and environmental benefits is established,and based on the supply-demand relationship between microgrids and time-of-use electricity price,a multi-microgrid scheduling strategy is established during peak-to-valley periods.The improved whale optimization algorithm is used to solve the established optimal scheduling model,and finally through the simulation and verification of an example,by comparing the individual grid-connected scheduling of multiple microgrids and the interconnected optimal scheduling results of multiple microgrid systems under the specified scheduling strategy,which shows that the dispatching strategy proposed in this paper can effectively reduce the operating cost of the system,at the same time,it can cut the peak and fill the valley and relieve the power supply pressure of the distribution network and the power generation unit. |
PDF Full Text Request