获得固定输电权的风电公司日运行优化的研究

风电为平衡自身波动性需与储能装置联合运行,基于风蓄联合发电公司在电力市场环境下获得固定输电权的前提下进行分析,建立了以日运行收益最大化为目标的含风电场、抽水蓄能电站、常规火电厂和系统负荷的简单电力系统模型。考虑峰谷电价、功率平衡、风电场的运行约束和抽水蓄能电站的运行约束的情况下,应用在标准粒子群算法基础.上进行改进的粒子群算法迭代寻优,最后求得最优解。仿真结果表明所提出的模型及求解方法能够计算风蓄联合发电公司的最优日收益,实现收益的最大化。

Study on optimization of daily operation for wind powercompany with fixed transmission rights

In order to balance the fluctuation of wind power, it needs to operate jointly with the ener-gy storage device. On the premise of that the joint venture company of wind storage obtains fixedtransmission rights in the power market environment, a simple power system model including windpower plant, pumped storage power station, conventional thermal power plant and system load is es-tablished with the aim of maximizing the daily operating income. Considering the electricity peak andvalley price, power balance, operation constraint of wind farm and operation constraint of pumpedstorage power station, based on the standard particle swarm optimization algorithm, the improved par-ticle swarm optimization algorithm is applied to find the optimal solution. The simulation results showthat the proposed model and the solution method can calculate the optimal daily income of the windstorage combined power company and realize the maximization of the income.