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Research On Optimal Scheduling Method Of Integrated Energy System In Facility Agricultural Industrial Park

Posted on:2022-04-28Degree:MasterType:Thesis
Country:ChinaCandidate:Y LuFull Text:PDF
GTID:2492306515466344Subject:Electrical engineering
Abstract/Summary:PDF Full Text Request
In order to help the development of agriculture and promote the construction of modern agricultural new countryside.China is gradually accelerating the popularization of facility agriculture.A variety of modern and mechanized agricultural equipments are involved in agricultural production thus greatly improving agricultural productivity and production efficiency.However,the traditional energy use mode in agricultural areas is extensive and backward,which leads to the low efficiency of agricultural energy use and high energy cost,and the development of facility agriculture has been affected to some extent.The combination of renewable energy,integrated energy system and facility agriculture production can make full use of renewable energy and realize multi energy cascade utilization,which helps to improve the overall energy efficiency and the absorption capacity and flexibility of renewable energy.Hence reducing the energy consumption cost and operation cost of facility agriculture.In this thesis,the comprehensive energy optimal scheduling method of facility agricultural industrial park is studied.Firstly,the development status of renewable energy,facility agriculture and integrated energy system are analyzed.And the mathematical model of renewable energy supply system and energy equipments in the integrated energy system of facility agriculture industrial park are established.Secondly,aiming at the problem of energy consumption and renewable energy consumption in rural facility agriculture,the energy optimal scheduling model of comprehensive energy system in facility agriculture industrial park is established.Meanwhile an improved multi-objective Sine-Cosine optimization algorithm based on reverse learning strategy is proposed.Taking the minimum energy consumption,operation cost of the energy system and the maximum local wind and solar energy consumption rates as the objective function,and considering the constraints of local time-of-use price and energy equipments operation,the improved optimization algorithm is proposed to optimize the dispatch of energy equipment output.Through the analysis of the optimization results,it is concluded that the proposed optimization method has obvious effect on reducing the energy consumption and operating costs of the energy system in the facility agricultural industrial park and improving the local consumption capacity of renewable energy.Finally,considering that the agricultural load of the facility agricultural industrial park is adjustable,a two-level optimal scheduling method of the integrated energy system of the facility agricultural industrial park that considering the adjustable agricultural load is proposed.In this method,after establishing the mathematical model of adjustable agricultural loads and putting forward the comprehensive index of suitable growth temperature of crops,the single objective optimization of adjustable load in facility agriculture is taken as the first level optimization of the optimization method with the goal of maximizing the local wind and solar energy consumption rate in the park;Based on the loads data obtained from the first level optimization,the multi-objective optimization of energy equipments output is taken as the second level optimization of the optimal scheduling method,with the minimum energy consumption and operation cost of the energy system and the maximum local wind and solar energy consumption rate as the objectives.The results show that the proposed two-level optimal scheduling method can actively mobilize the adjustable agricultural load in the park,and cooperate with the output optimization of energy equipments,which can improve the operation economy and renewable energy consumption capacity of the energy system in the park.
Keywords/Search Tags:Renewable energy, Integrated energy system, Facility agriculture, SineCosine algorithm, Multi-objective optimization, Adjustable load
PDF Full Text Request
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