针对高比例可再生能源并网,提出含风、光、火、蓄的高比例新能源电力系统多目标日前优化调度模型。该模型考虑在火电机组深度调峰及频繁爬坡等新工况下的火电机组运行成本、污染物惩罚成本以及可再生能源弃电成本,以系统运行成本最低、风光出力最大以及净负荷波动最小为优化目标,采用NSGA-Ⅱ算法进行优化求解。通过对某典型日不同调度场景进行仿真计算,结果表明所建立的系统运行总成本计算模型能够兼顾该系统的经济、环保与消纳,所提出的多目标优化调度策略能够促进高比例可再生能源的消纳,缓解火电机组的调峰压力,降低系统运行总成本,指导电力系统火电灵活性改造,保证电力系统安全、稳定、经济运行。
Abstract
Aiming at the grid connection of a high-proportion renewable energy, this paper proposes a multi-objective day-ahead optimal dispatch model for a high-proportion new energy power system including wind power, photovoltaic, thermal power and pumped storage. This model considers the operating costs of thermal power units, pollutants penalties and renewable energy curtailment under new operating conditions such as deep peak shaving and frequent ramps of thermal power units. This model takes the lowest system operating costs, the largest wind power and photovoltaic output and the smallest net load fluctuations as the optimization goals, and uses the NSGA-Ⅱ algorithm to optimize the solution. Through the simulation calculation of different scheduling scenarios on a typical day, the results show that the calculation model of the total operating costs of the system established in this paper can take into account the economy, environmental protection and consumption of the system. The multi-objective optimization scheduling strategy proposed in this paper can promote the consumption of high proportion of renewable energy, alleviate the peak shaving pressure of thermal power units, reduce the total costs of system operation, guide the thermal power flexibility transformation of power system, and ensure the safe, stable and economic operation of power system.
关键词
可再生能源 /
电力系统 /
调度优化 /
多目标 /
深度调峰
Key words
renewable energy /
power systems /
dispatching optimization /
multiple targets /
deep peak shaving
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基金
北京市科技计划（Z201100004520022）
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