“风、光、火、蓄、储”多能源互补优化调度方法研究

Optimal dispatching of multi-power sources containing wind/photovoltaic/thermal/hydro-pumped and battery storage

高比例可再生能源并网是全球能源战略发展的必然趋势。为了应对未来大规模具有随机波动特性的可再生能源并网,一方面须要推进灵活性储能与可再生能源联合互补运行,另一方面须要对常规机组运行新工况加以考虑,以实现高比例可再生能源安全经济并网。文章提出了考虑常规机组低负荷运行和爬坡工况的发电成本计算模型,建立了"风、光、火、蓄、储"多能源互补优化调度模型,并提出用动态惯性权值粒子群算法求解,以实现系统总运行成本最小的优化目标。算例分析表明,引入爬坡成本与低负荷运行成本能够真实反映常规机组在平衡大规模风、光电波动性时所增加的成本,并在调度过程中充分权衡弃风弃光损失和平衡波动性所增加的发电成本,为高比例可再生能源并网情况下电力系统多能源互补运行决策提供了支撑。

High penetration of renewable energy integration is inevitable trend of global energy development. To cope with large-scale renewable energy with random volatility characteristics,dispatching of flexible generators and storages are needed for the first place to jointly operate with the renewable; for another, new operational conditions of the conventional generators have to be taken into account for the safety and economics of the power system with high proportion of renewables. Therefore, this paper firstly presents a cost model of thermal power generation considering low load operation and frequent ramping conditions. Secondly, an optimal dispatch model including wind power, PV generations,thermal power,hydro-pump and batteries is established.Thirdly, particle swarm optimization algorithm PSO with dynamic inertia weight is carried out to achieve the minimization of the total operating cost. Simulation results indicate that the involvement of the proposed cost model can reflect the actual additional cost when balancing the intermittent renewables, and also balancing the optimal generations between curtailment penalties and the increased operational costs. The proposed method could provide support for operation of multi-energy system with high proportion renewable energy integrated into grid.