基于发电效益与环境成本的含风电场电力系统最优潮流问题的研究

Study on the optimal flow of electric power system with wind electric field based on power generation benefit and environmental cost

风电,作为一种新型可再生能源,具有安全、永续、清洁等特点,未来在电力系统中所占比重将会越来越大。我国风力发电发展速度迅猛,但风电消纳、大规模风电并网等复杂的系统性问题依旧存在。随着学者们对风电场中闪变、无功补偿、低电压穿越、虚拟同步机等问题不断深入研究,火力灵活发电和新能源相结合将成为新趋势。为了更加凸显风电作为新能源的环境价值,本文建立基于发电效益与环境成本的含风电场电力系统最优潮流模型。在基于BP神经网络风电功率预测的基础上,本文首先对风电机组、火电机组进行建模,并将风电弃风损失、风电并网引起的备用容量升高、火电厂环境污染等指标作为目标函数,对电力系统潮流进行优化,进而使得风电场电力系统生产安排更具合理性,也同时凸显风电作为清洁能源的价值。

Wind power,as a new type of renewable energy,is characterized by safety,sustainability,and cleanliness,and it will account for an increasing proportion of power systems in the future.The rapid development of wind power generation in China,but the complex systemic problems such as wind power consumption and large-scale wind power grid integration still exist. As scholars continue to make in-depth studies on issues such as flicker,reactive power compensation,low voltage ride-though(LVRT）,and virtual synchronous machines in wind farms,the combination of firepower flexible power generation and new energy sources will become a new trend.In order to further highlight the environmental value of wind power as a new energy source,this paper establishes an Optimum Power Flow of Power System Containing Wind Farm Based on Power Generation Benefit and Environmental Cost.Based on the prediction of wind power based on BP neural network,this paper first models the wind turbine and thermal power generation unit,and uses the indicators such as the loss of wind power from wind losses,the increase of standby capacity due to wind power grid connection,and the environmental pollution of thermal power plants as objective functions,and then Optimize power system flow,which make power system production arrangements more rational and highlight the value of wind power as a clean energy source.