基于粒子群算法的风电系统调峰策略研究

Abstract

风电的随机波动特性对风电并网系统的负荷调峰特性产生影响，因此开展其调峰策略研究对确保风电系统的安全经济运行具有重要作用。本文在分析风电并网对系统调峰方式产生影响的基础上，从最大限度消纳风电角度出发，基于使火电、水电和抽水蓄能参与调峰发电成本最小化目标函数，建立了风电系统的调峰策略优化模型。同时利用粒子群算法研究了该优化模型的求解方法。最后利用所研究调峰策略优化方法进行了风电并网局部电力系统调峰策略的仿真研究，不仅得到了该地区基于火电、水电和抽水蓄能的联合调峰策略，而且验证了所提优化模型的合理性。 The characteristic of peak-load regulation influenced by random vibration of wind power is different from the power system without the integration of wind power. So exploring peak-load regulation method plays a very important role for keeping power grid integrated with wind power operate in security and economy. In this paper, the demand variety of peak-load regulation led by wind power integration is discussed in the first. Then, taking the aim at consuming wind power as maximum as possible, and taking the minimal generation cost of thermal power, hydropower and pumped storage which are used to regulate the peak-load as optimal object function, the optimal model for peak-load control is established. At the same time, the solution method for the optimal model is developed based on particle swarm algorithm. Finally, the proposed optimal model is used to simulate the peak-load control strategy for a region wind power system. Not only the cooperative peak-load control strategy based on thermal power, hydropower power and pumped storage is arrived in, but also the rationality and feasibility of the optimal model is validated as well.