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非水可再生能源补贴程序 - 逐年
- 风电、太阳能发电、生物质能发电等可再生能源发电已成为电力系统未来重要的发展方向之一。为促进可再生能源发展,针对可再生能源发电及其接网工程,我国出台了可再生能源补贴政策。可再生能源发电上网电价与燃煤脱硫标杆电价的差额部分,由可再生能源补贴资金支付,其中,分布式光伏发电按照0.43元/kWh进行度电补贴。根据国家政策,目前我国可再生能源补贴附加征收标准为0.19元/kWh。为支撑2020年我国可再生能源规模化发展,需要准确测算2020年我国可再生能源补贴资金需求,并明确资金缺口疏导方法。(The g
新能源发电
- 包含电气工程专业新能源发电课程中的光伏模型和风电并网模型,能在matlab中正常运行。(Including photovoltaic models and wind power grid-connected models in the new energy generation course in electrical engineering, which can operate normally in matlab.)
9927438PV
- 建立包含直驱型风力发电机、单级式光伏发电系统和储能蓄电池的风能与光伏混合微电网模型。混合微电网在并网运行时,通过储能蓄电池平滑风能和光伏电源的输出功率波动,维持公共连接点电压。(A wind power and photovoltaic hybrid microgrid model including direct drive wind turbine, single-stage photovoltaic power generation system and energy storage ba
83390087DFIG_modificado_50Hz5
- 本程序可以实现的功能是:建立直接驱动风力发电机、单级光伏发电系统和储能电池的风力发电和光伏混合微电网模型。通过平滑蓄电池的输出功率平滑风能和光伏功率来维持PCC的电压。(The function of this program is to establish a hybrid micro grid model of wind power generation and photovoltaic power generation directly driven by wind power gener
29132994PMSG_PWM4
- 该方案的功能是建立由风力发电机、单级光伏发电系统和储能电池直接驱动的风力发电和光伏发电的混合微电网模型。通过平滑电池的输出功率并平滑风和光伏功率来维持PCC电压。(The function of this program is to establish a hybrid micro grid model of wind power generation and photovoltaic power generation directly driven by wind power generato
PsoProcess_Micro_Grid
- 在假设负荷预测、风机和光伏未来出力已完全准确的情况下(允许弃风弃光),采用改进PSO算法对某含有风机、光伏、以及常规负荷的微电网未来24 小时的出力调控进行日前优化,以实现经济性最优(Under the assumption that the load forecasting, the wind turbine and the future power of the photovoltaic power are completely accurate (allowing for abandonm
PSO
- 微电网多目标调度,运用改进的多目标粒子群算法进行计算,里面包含经济等三个目标函数设置((Smart Microgrid PSO, micro sources: photovoltaic, wind turbines, generators, energy storage, etc.))
GA
- 智能微电网粒子群优化算法,微源:光伏、风机、发电机、储能等((Smart Microgrid GA, micro sources: photovoltaic, wind turbines, generators, energy storage, etc.))
pscad_1
- 包含光伏、风电等新能源接入的直流微网模型(Direct Current Microgrid Model Including New Energy Access such as Photovoltaic and Wind Power)
micro-grid based on CSO
- 本文分析微网中微电源包括光伏发电、风力发电、微燃机、柴油发电机和燃料电池的电气特性,构建微电网优化运行的模型,以微网的经济成本和环境成本最小为目标函数,充分考虑了电压越限、功率平衡、微电源出力限制等约束条件,应用鸡群算法进行求解。 解决了粒子群算法易早熟、易陷入局部最优解的问题。并通过典型的微网系统进行仿真分析,仿真结果验证了该算法的有效性。(In this paper, the electrical characteristics of micro-power sources in micro
GFFD_2OK
- 光伏模型,包含最大功率点跟踪,负载跟踪,风力发电模型,电池模型,很全面,可运行(Photovoltaic model, including maximum power point tracking, load tracking, wind power generation model, battery model, is comprehensive and operational.)
新能源发电实验PSIM仿真
- 新能源发电实验PPT,包含风力发电建模仿真、低速直驱永磁同步发电机系统的仿真、光伏发电系统电流电压曲线功率电压曲线、扰动观察法P&O-MPPT实现,均为PSIM仿真。(New energy power generation experiment PPT, including wind power generation modeling simulation, low-speed direct drive permanent magnet synchronous generator sys
DCmicrogrid
- 直流微电网,风电、光伏、储能都包含,可运行(DC microgrid, including wind power, photovoltaic and energy storage, can be operated)
code(1)
- 风电机组: 电价0.6 Pw_max=[2,1,3,4,5,5,4,2,3,5,5,1,2,4,5,5,5,4,3,5,3,3,2,4]; 光伏: 电价0.9 Pf_max=[0,0,0,0,0,0,1,2,3,4,5,5,5,5,4,3,1,0,0,0,0,0,0,0]; 热电机组: 电价 0.4 成本 标准煤价格 500元 电加热: 功率平衡约束: QL=[18,16,12,16,18,20,14,22,12,18,4,20,6
微电网容量优化
- 用蒙特卡洛算法模拟风机及光伏出力,并用粒子群算法加以分配优化。(Monte Carlo algorithm is used to simulate the output of wind turbine and photovoltaic, and particle swarm optimization algorithm is used to optimize the distribution.)