Hydrogen storage and ice storage are promising,environmentally friendly energy storage technologies.However,there are few investigations on the optimal configuration of hybrid renewable energy systems(HRES)for remote ...Hydrogen storage and ice storage are promising,environmentally friendly energy storage technologies.However,there are few investigations on the optimal configuration of hybrid renewable energy systems(HRES)for remote off-grid areas with localized scenarios.This paper proposes a new optimal configuration of an off-grid PV/wind/hydrogen/cooling system.Given three performance indices for evaluating HRES,i.e.,the levelized cost of energy(LCOE),the loss of power supply possibility(LPSP),and the power curtailment rate(PCR),we use theε-constraint method that formulates LCOE as the objective,while LPSP and PCR serve as constraints.Furthermore,to solve the optimal size of HRES,an improved salp swarm algorithm(ISSA)is proposed.The simulation results show that for an off-grid remote community,the LCOE,LPSP,and PCR of the optimal HRES configuration can achieve$0.31/kWh,5.00%,and 7.23%,respectively.The comparison of different systems illustrates that adding ice storage in the HRES with hydrogen storage will decrease the LCOE by 27.12%.In addition,compared with other heuristic algorithms,such as SSA,ISSA offers the configuration with the minimum LCOE.The hydrogen-ice storage system is economically significant to off-grid areas with cooling load demand,and the proposed ISSA has excellent accuracy.展开更多
基金supported by National Key R&D Program of China(No.2018YFB1500800)National Natural Science Foundation of China(No.51807134)Science and Technology Project of State Grid Corporation,and State Key Laboratory of Power System and Generation Equipment(SKLD21KM10).
文摘Hydrogen storage and ice storage are promising,environmentally friendly energy storage technologies.However,there are few investigations on the optimal configuration of hybrid renewable energy systems(HRES)for remote off-grid areas with localized scenarios.This paper proposes a new optimal configuration of an off-grid PV/wind/hydrogen/cooling system.Given three performance indices for evaluating HRES,i.e.,the levelized cost of energy(LCOE),the loss of power supply possibility(LPSP),and the power curtailment rate(PCR),we use theε-constraint method that formulates LCOE as the objective,while LPSP and PCR serve as constraints.Furthermore,to solve the optimal size of HRES,an improved salp swarm algorithm(ISSA)is proposed.The simulation results show that for an off-grid remote community,the LCOE,LPSP,and PCR of the optimal HRES configuration can achieve$0.31/kWh,5.00%,and 7.23%,respectively.The comparison of different systems illustrates that adding ice storage in the HRES with hydrogen storage will decrease the LCOE by 27.12%.In addition,compared with other heuristic algorithms,such as SSA,ISSA offers the configuration with the minimum LCOE.The hydrogen-ice storage system is economically significant to off-grid areas with cooling load demand,and the proposed ISSA has excellent accuracy.
