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Research On Energy Storage Configuration Optimization Of A Wind-solar-biomass-storage Multi-energy Complementary System Based On LCC

Posted on:2022-08-07Degree:MasterType:Thesis
Country:ChinaCandidate:Q Y WangFull Text:PDF
GTID:2492306566977169Subject:Technical Economics and Management
Abstract/Summary:PDF Full Text Request
As energy depletion and environmental pollution problems become more and more serious,the use of renewable energy to replace traditional fossil energy has become a major development trend.Rural areas are rich in renewable energy sources such as wind,solar power,and biological resources.The rational development and utilization of local renewable energy resources based on local conditions to build a distributed multi-energy complementary system is an effective way to solve the rapid increase in electricity demand,weak power grids and environmental pollution in rural areas.At the same time,it also has a profound impact on the improvement of rural energy structure and the construction of beautiful villages.However,renewable energy power generation relies on natural conditions,and the power output is intermittent and fluctuating.It is difficult to guarantee the quality of power.For this reason,the assistance of energy storage systems is needed.Therefore,this paper proposes a new type of "wind-solar-biomass-storage" multi-energy complementary system composed of wind power,solar power,biogas power and energy storage systems.Among them,the energy storage system,as a key component to ensure the safe and stable operation of the multi-energy complementary system,can smooth the power fluctuations of renewable energy,shift the peak load,and increase the flexibility of system scheduling.However,energy storage systems are expensive,and economic benefits are the key factors for multi-energy complementary systems to attract users and be promoted in power systems.Therefore,it is of great practical significance to optimize the capacity configuration of energy storage systems.This article first introduces the structure and working principle of the constructed wind-solar-biomass-storage multi-energy complementary system.Furthermore,the current basic forms of energy storage are compared and analyzed,and the sodium-sulfur battery is finally determined as the energy storage device of the system.Then a Bi-level optimization model of energy storage system capacity configuration is constructed to build the relationship between the planning and operation of the energy storage system in the process of capacity configuration optimization.Among them,the upper-level problem takes the minimum life cycle cost(LCC)of the energy storage system as the objective function.The lower-level problem takes the maximum daily operating economic benefit of the system as the objective function.Finally,this paper takes a certain place as a case study,using the improved genetic algorithm to carry out simulation experiments.Five comparison schemes are designed for the four typical scenarios of spring,summer,autumn and winter for optimization simulation.The ability to operate stably and achieve the lowest life cycle cost of the energy storage system and maximize the economic benefits of system operation,verifying the feasibility of the system model.At the same time,the comparative experiment also shows that comprehensively considering the impact of renewable energy output and load uncertainty,the capacity configuration scheme of the energy storage system is more reasonable.The multi-energy complementary system built in this paper can effectively improve the energy structure of rural areas,and promote the use of agricultural and forestry wastes as energy.Meanwhile,it can also send energy to the surrounding areas and solve the energy demand of surrounding rural areas.It is important to the construction plan of the similar rural energy systems in the future.This paper takes China’s rural areas as a case study for research.The proposed multi-energy complementary system and Bi-level optimization model are also applicable to developing countries with a high proportion of the rural population.
Keywords/Search Tags:multi-energy complementary system, energy storage configuration, life cycle cost, Bi-level optimization, rural areas
PDF Full Text Request
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