考虑环境成本和需求响应的风电并网优化

在能源互联网的大背景下,传统的火力发电由于对环境的破坏需要清洁能源作为代替。风电因为其经济、环保得到了广泛的应用,而日益增长的风电接入电网给电力系统的经济、稳定运行带来严峻的挑战。文中从环境成本和需求响应两方面入手,综合考虑了风电的波动性、火电环境损失、可转移负荷对于系统的影响,及需求响应在提高风电消纳、降低环境污染、平抑负荷波动等方面的作用。为求解模型,文中提出一种粒子群算法惯性权重改进策略。算例表明考虑需求响应和环境成本可以有效降低成本和弃风现象。

Wind power grid optimization based on environmental cost and demand response

With the rapid development of Energy Intemet,the traditional thermal power generation is needed to clean energy as a substitute for the destruction of the environment.Wind power has been widely used because of its economic and environmental protection,and the growing wind power access to the power grid to the economic and stable operation of the power system has brought serious challenges.This paper comprehensively considers the influence of fluctuations of wind power,environmental loss of thermal power,and load transfer on the system from the two aspects of environmental cost and demand response,and the effect of demand response on improving wind power consumption,reducing environmental pollution,and stabilizing the load fluctuation.In order to solve the model,an improved strategy of a particle swarm optimization algorithm is proposed.The example shows that considering the demand response and environment cost can effectively reduce the cost and abandon the wind.