Research On Configuration And Scheduling Optimization And Multi-Dimensional Benefit Evaluation Of Isolated Renewable Micro Energy Grids

To solve the increasingly prominent problems of energy,environment,and climate change,renewable energy industry has ushered in good development opportunities worldwide.However,renewable energy power generation is uncertain and load demands of users become diversified and personalized.Therefore,it is urgent to solve energy utilization problem in areas such as offshore isolated islands and remote rural areas.Under this background,it is of far-reaching significance to study the value realization of isolated renewable micro energy grids.From the perspective of system science,this dissertation focuses on isolated renewable micro energy grids,makes comprehensive application of multi-attribute decision-making methods and multi-objective heuristic algorithms,and forms a relatively complete theoretical system for optimization and evaluation of isolated renewable micro energy grids.Therefore,identification of critical influencing factors about optimization and evaluation,configuration optimization,scheduling optimization,and multidimensional benefit evaluation are systematically studied to maximize the value of isolated renewable micro energy grids.The main research work of this dissertation is summarized below:(1)Aiming at identification of key influencing factors about optimization and evaluation of isolated renewable micro energy grids,a two-stage framework about identification of key influencing factors is constructed.Firstly,a two-stage method based on literature research and expert consultation method-interval type-2 trapezoidal hesitant fuzzy DEMATEL is proposed to identify the key influencing factors of isolated renewable micro energy grids.This method fully considers the opinions of decision-makers and reduces information distortion.In the first stage,based on literature research and expert consultation method,influencing factors are identified from the three aspects of configuration optimization,scheduling optimization,and multi-dimensional benefit evaluation.In the second stage,by using an interval type-2 trapezoidal hesitant fuzzy DEMATEL method,the influencing factors are divided into cause factors and result factors,and key influencing factors are extracted.Then,relevant countermeasures and suggestions are given.(2)Aiming at configuration optimization of isolated renewable micro energy grids,a two-stage configuration optimization framework is established.Firstly,an isolated renewable micro energy grid consisting of renewable energy generation,electric chiller,electric boiler,and electricity storage is designed,and the functional characteristics of system components are introduced.Then,the optimization objective is to minimize the total annual cost,loss of energy supply possibility,and energy abandonment rate,and a configuration optimization model considering the uncertainties of renewable energy generation and load demands is constructed.Moreover,a two-stage solving method based on modified NSGA-II and order relation analysis method-TODIM is proposed to solve the configuration optimization model.The method optimizes the control parameter setting of NSGA-II and considers the risk preference of decision-makers.Finally,an example analysis is conducted to verify the applicability and effectiveness of the established two-stage configuration optimization framework,and it is proved that the developed framework can control the loss of energy supply possibility and energy abandonment rate within reasonable ranges under the condition of meeting specific resource constraints,and the synergy of economic benefit and energy benefit of isolated renewable micro energy grids is promoted.(3)Aiming at scheduling optimization of isolated renewable micro energy grids,a two-stage scheduling optimization framework is constructed.Firstly,the optimization objective is to maximize the annual net profit of the system and the annual welfare of users,the load demand preference is considered,and a scheduling optimization model based on different operation strategies is built.Then,to solve the scheduling optimization model,since VIKOR cannot consider the risk preference of decision-makers,regret theory is used to modify VIKOR,and a two-stage solving method based on MOPSO and a modified VIKOR by regret theory is proposed.Finally,an example analysis is used to verify the applicability and effectiveness of the established two-stage scheduling optimization framework,and the analysis results show that load demand preference,the changing of unit energy shortage cost,the changing of unit electricity abandonment cost,and the number of electricity storage configuration have an impact on the annual net profit of the system and the annual welfare of users.(4)Aiming at multi-dimensional benefit evaluation of isolated renewable micro energy grids,a multi-dimensional benefit evaluation framework is built.Firstly,based on the design principle of index system,a multi-dimensional benefit evaluation index system of isolated renewable micro energy grids is established from the five aspects of economic benefit,environmental benefit,technical benefit,energy benefit,and social benefit.Then,on the basis of information collection and preprocessing under a mixed information environment,the subjective and objective combination weighting method is used to calculate the index weight.Furthermore,the risk preference of decision-makers and differences of index attribute are considered comprehensively,and an evaluation method based on a modified PROMETHEE II by prospect theory is proposed to carry out multidimensional benefit evaluation of isolated renewable micro energy grids.Finally,an example analysis is performed to verify the feasibility and rationality of the proposed multi-dimensional benefit evaluation framework.This dissertation enriches the collaborative optimization and evaluation theory of isolated renewable micro energy grids and is helpful to promote the sustainable development of isolated renewable micro energy grids.