建立了公路隧道互补式通风计算模型，编制了模型计算程序，研究了大别山特长公路隧道互补式通风运营模式，提出全射流纵向通风模式、单 U 型通风模式与双 U 型通风模式，分析了3种通风模式转换的控制条件与2条互补式换气横通道的功能。...建立了公路隧道互补式通风计算模型，编制了模型计算程序，研究了大别山特长公路隧道互补式通风运营模式，提出全射流纵向通风模式、单 U 型通风模式与双 U 型通风模式，分析了3种通风模式转换的控制条件与2条互补式换气横通道的功能。现场测试了运营状态下大别山隧道内污染物浓度，对比了计算结果与测试结果。分析结果表明：大别山隧道互补式通风运营模式灵活、实用，当上坡隧道交通量不超过11500 pcu·d^－1时，可采用全射流纵向通风模式；当上坡隧道交通量为11500～14100 pcu·d^－1时，可采用单 U 型通风模式；当上坡隧道交通量为14100～18255 pcu·d^－1时，可采用双 U 型通风模式。离上坡隧道入口较近的换气横通道的主要作用是减小上坡隧道内的通风量，降低通风速度，离上坡隧道入口较远的换气横通道的主要作用是降低上坡隧道内的污染物浓度。采用双 U 型通风模式降低了离上坡隧道入口较近横通道的换气量，减小了通风系统能耗与运营费用。模型计算结果与实测结果相对误差绝对值小于10％，因此，通风计算模型精度较高，可应用于互补式通风计算。展开更多
随着气-电耦合园区综合能源系统IEGS(integrated electricity and gas community system)内部能源耦合程度的逐渐增强和其日益增长的供能可靠性需求,制定合理有效的调度策略增强系统对供能端故障的适应性愈加重要。为此,计及IEGS电、气...随着气-电耦合园区综合能源系统IEGS(integrated electricity and gas community system)内部能源耦合程度的逐渐增强和其日益增长的供能可靠性需求,制定合理有效的调度策略增强系统对供能端故障的适应性愈加重要。为此,计及IEGS电、气互补运行特性,制定了考虑蓄热装置热备用的气、电互补多阶段弹性调度策略。首先,计算各个时刻发生气源、电源故障时满足重要负荷所需的最小储能备用容量;然后,基于备用信息进行考虑热备用约束的日前经济调度,若发生源端故障,系统切换至故障运行模式,优先保证重要负荷供能;最后,选取夏季运行日数据进行调度策略的验证分析。结果表明,考虑热备用的IEGS气、电互补弹性调度策略可在不明显改变运行成本的情况下提升系统对源端故障的适应性,保证故障域内重要负荷的可靠供给,具有较强的运行弹性。展开更多
Taking the consumption rate of renewable energy and the operation cost of hybrid AC/DC microgrid as the optimization objectives,the adjustment of load demand curves is carried out considering the demand side response(...Taking the consumption rate of renewable energy and the operation cost of hybrid AC/DC microgrid as the optimization objectives,the adjustment of load demand curves is carried out considering the demand side response(DSR)on the load side.The complementary utilization of renewable energy between AC area and DC area is achieved to meet the load demand on the source side.In the network side,the hybrid AC/DC microgrids purchase electricity from the power grid at the time-of-use(TOU)price and sell the surplus power of renewable energy to the power grid for profits.The improved memetic algorithm(IMA)is introduced and applied to solve the established mathematical model.The promotion effect of the proposed source-network-load coordination strategies on the optimal operation of hybrid AC/DC microgrid is verified.展开更多
Along with the wide-ranging addition of wind power into power systems,multiple uncertainties are produced due to continuous changes of wind power,which in turn will affect the dispatching and operational process of th...Along with the wide-ranging addition of wind power into power systems,multiple uncertainties are produced due to continuous changes of wind power,which in turn will affect the dispatching and operational process of the power grid.In this process,excessive pursuit of the lowest risk of wind energy may bring an apparent influence on the economic effect of the multi-energy complementary power generation system because a continuous imbalance between demand and supply may lead to wind curtailment.To solve these issues,a new model that couples the multi-dimensional uncertainty model with the day-ahead complementary operation model is developed for a wind-hydrothermal system.A multi-dimensional uncertainty model(MU)is used to deal with wind uncertainty because it can quantitatively describe the complex features of error distribution of hourly dayahead wind power forecasting.The multi-dimensional interval scenes attained by the MU model can reflect hour-to-hour uncertain interaction in the day-ahead complementary operation for the wind-hydro-thermal system.This new model can make up for the shortcomings of the day-ahead operation model by reducing wind power risk and optimizing the operational costs.A two-layer nested approach with the hierarchical structure is applied to handle the wind-hydro-thermal system’s complex equality and inequality constraints.The new model and algorithm’s effectiveness can be evaluated by applying them to the Shaanxi Electric Power Company in China.Results demonstrated that:compared with the conventional operation strategies,the proposed model can save the operational cost of the units by 7.92%and the hybrid system by 0.995%,respectively.This study can offer references for the impact of renewable energy on the power grid within the context of the day-ahead electricity market.展开更多
Vigorously developing flexible resources in power systems will be the key to building a new power system and realizing energy trans-formation.The investment construction cost and operation cost of various flexible res...Vigorously developing flexible resources in power systems will be the key to building a new power system and realizing energy trans-formation.The investment construction cost and operation cost of various flexible resources are different,and the adjustment ability is different in different timescales.Therefore,the optimization of complementary allocation of various resources needs to take into account the economy and adjustment ability of different resources.In this paper,the global K-means load clustering model is pro-posed and the 365-day net load is reduced to eight typical daily net loads by clustering.Secondly,a two-level optimization model of flexible resource complementary allocation considering wind power and photovoltaic consumption is constructed.The flexible resources involved include the flexible transformation of thermal power,hydropower,pumped storage,energy storage,and demand response.The upper-layer model optimizes the capacity allocation of various flexible resources with the minimum investment and construction cost as the goal and the lower layer optimizes the operating output of various units with the minimum operating cost as the goal.The results of the example analysis show that the flexible capacity of thermal power units has nothing to do with the abandonment rate of renewable energy.As the abandonment rate of renewable energy decreases,the optimal capacity of pumped storage,electrochemical energy storage,and hydropower units increases.When the power-abandonment rate of renewable energy is 5%,the optimal allocation capacity of thermal power flexibility transformation,pumped storage,electrochemical energy storage,hydropower unit,and adjustable load in Province A is 5313,17090,5830,72113,and 4250 MW,respectively.Under the condition that the renewable-energy abandonment rate is 0,5%,and 10%respectively,the configured capacity of pumped storage is 20000,17090,and 14847 MW,respectively.展开更多
文摘建立了公路隧道互补式通风计算模型，编制了模型计算程序，研究了大别山特长公路隧道互补式通风运营模式，提出全射流纵向通风模式、单 U 型通风模式与双 U 型通风模式，分析了3种通风模式转换的控制条件与2条互补式换气横通道的功能。现场测试了运营状态下大别山隧道内污染物浓度，对比了计算结果与测试结果。分析结果表明：大别山隧道互补式通风运营模式灵活、实用，当上坡隧道交通量不超过11500 pcu·d^－1时，可采用全射流纵向通风模式；当上坡隧道交通量为11500～14100 pcu·d^－1时，可采用单 U 型通风模式；当上坡隧道交通量为14100～18255 pcu·d^－1时，可采用双 U 型通风模式。离上坡隧道入口较近的换气横通道的主要作用是减小上坡隧道内的通风量，降低通风速度，离上坡隧道入口较远的换气横通道的主要作用是降低上坡隧道内的污染物浓度。采用双 U 型通风模式降低了离上坡隧道入口较近横通道的换气量，减小了通风系统能耗与运营费用。模型计算结果与实测结果相对误差绝对值小于10％，因此，通风计算模型精度较高，可应用于互补式通风计算。
文摘随着气-电耦合园区综合能源系统IEGS(integrated electricity and gas community system)内部能源耦合程度的逐渐增强和其日益增长的供能可靠性需求,制定合理有效的调度策略增强系统对供能端故障的适应性愈加重要。为此,计及IEGS电、气互补运行特性,制定了考虑蓄热装置热备用的气、电互补多阶段弹性调度策略。首先,计算各个时刻发生气源、电源故障时满足重要负荷所需的最小储能备用容量;然后,基于备用信息进行考虑热备用约束的日前经济调度,若发生源端故障,系统切换至故障运行模式,优先保证重要负荷供能;最后,选取夏季运行日数据进行调度策略的验证分析。结果表明,考虑热备用的IEGS气、电互补弹性调度策略可在不明显改变运行成本的情况下提升系统对源端故障的适应性,保证故障域内重要负荷的可靠供给,具有较强的运行弹性。
基金supported by the National Natural Science Foundation of China(No.51577068)the National High Technology Research and Development Program of China(863 Program)(No.2015AA050104).
文摘Taking the consumption rate of renewable energy and the operation cost of hybrid AC/DC microgrid as the optimization objectives,the adjustment of load demand curves is carried out considering the demand side response(DSR)on the load side.The complementary utilization of renewable energy between AC area and DC area is achieved to meet the load demand on the source side.In the network side,the hybrid AC/DC microgrids purchase electricity from the power grid at the time-of-use(TOU)price and sell the surplus power of renewable energy to the power grid for profits.The improved memetic algorithm(IMA)is introduced and applied to solve the established mathematical model.The promotion effect of the proposed source-network-load coordination strategies on the optimal operation of hybrid AC/DC microgrid is verified.
基金supported by the Research on comprehensive energy system of park based on big data analysis technology(2019ZDLGY18-03)National Natural Science Foundation of China(No.51879213)China Postdoctoral Science Foundation(2020M673453).
文摘Along with the wide-ranging addition of wind power into power systems,multiple uncertainties are produced due to continuous changes of wind power,which in turn will affect the dispatching and operational process of the power grid.In this process,excessive pursuit of the lowest risk of wind energy may bring an apparent influence on the economic effect of the multi-energy complementary power generation system because a continuous imbalance between demand and supply may lead to wind curtailment.To solve these issues,a new model that couples the multi-dimensional uncertainty model with the day-ahead complementary operation model is developed for a wind-hydrothermal system.A multi-dimensional uncertainty model(MU)is used to deal with wind uncertainty because it can quantitatively describe the complex features of error distribution of hourly dayahead wind power forecasting.The multi-dimensional interval scenes attained by the MU model can reflect hour-to-hour uncertain interaction in the day-ahead complementary operation for the wind-hydro-thermal system.This new model can make up for the shortcomings of the day-ahead operation model by reducing wind power risk and optimizing the operational costs.A two-layer nested approach with the hierarchical structure is applied to handle the wind-hydro-thermal system’s complex equality and inequality constraints.The new model and algorithm’s effectiveness can be evaluated by applying them to the Shaanxi Electric Power Company in China.Results demonstrated that:compared with the conventional operation strategies,the proposed model can save the operational cost of the units by 7.92%and the hybrid system by 0.995%,respectively.This study can offer references for the impact of renewable energy on the power grid within the context of the day-ahead electricity market.
基金funded by the Science and Technology Project of State Grid Sichuan Electric Power Company(521996230008).
文摘Vigorously developing flexible resources in power systems will be the key to building a new power system and realizing energy trans-formation.The investment construction cost and operation cost of various flexible resources are different,and the adjustment ability is different in different timescales.Therefore,the optimization of complementary allocation of various resources needs to take into account the economy and adjustment ability of different resources.In this paper,the global K-means load clustering model is pro-posed and the 365-day net load is reduced to eight typical daily net loads by clustering.Secondly,a two-level optimization model of flexible resource complementary allocation considering wind power and photovoltaic consumption is constructed.The flexible resources involved include the flexible transformation of thermal power,hydropower,pumped storage,energy storage,and demand response.The upper-layer model optimizes the capacity allocation of various flexible resources with the minimum investment and construction cost as the goal and the lower layer optimizes the operating output of various units with the minimum operating cost as the goal.The results of the example analysis show that the flexible capacity of thermal power units has nothing to do with the abandonment rate of renewable energy.As the abandonment rate of renewable energy decreases,the optimal capacity of pumped storage,electrochemical energy storage,and hydropower units increases.When the power-abandonment rate of renewable energy is 5%,the optimal allocation capacity of thermal power flexibility transformation,pumped storage,electrochemical energy storage,hydropower unit,and adjustable load in Province A is 5313,17090,5830,72113,and 4250 MW,respectively.Under the condition that the renewable-energy abandonment rate is 0,5%,and 10%respectively,the configured capacity of pumped storage is 20000,17090,and 14847 MW,respectively.
