电力系统长时间尺度时序仿真和生产模拟是可再生能源和电网规划设计阶段的重要依据,也是检验规划设计方案科学性的有效工具。首先,为了提高大规模电力系统长时间尺度时序仿真效率,针对输电网的特点,提出了一种输电网潮流线性化方法,并基于IEEE标准算例对线性潮流的精度及计算效率进行检验和对比,结果表明该方法不仅具有较高的计算精度,还可以有效减小大规模电力系统潮流的计算时间。然后针对可再生能源不同的选址定容方案,采用该线性潮流模型进行电力系统长时间尺度快速时序仿真。仿真得到了节点电压幅值、支路功率等关键潮流信息,对电力系统的网架结构和可再生能源机组选址定容的规划设计具有十分重要的意义。

Power system long-term sequential simulation and production simulation are important basis for renewable energy and power grid planning, and also effective tools to verify the scientificity of planning and design scheme. First of all, in order to improve the efficiency of long-term sequential simulation of large-scale power systems, this paper proposes a method of linearization of power flow of transmission grid according to the characteristics of transmission grids, and verifies the accuracy and calculation efficiency of linear power flow applying IEEE standard calculation examples. The results show that this method not only has higher calculation accuracy, but also can effectively reduce the calculation time for the power flow of large-scale power systems. Then, according to different site-selection and capacity-determination schemes of renewable energy, the linear power flow model is used to carry out the long-term fast sequential simulation of the power system. The simulation has obtained key power flow information such as node-voltage amplitude and branch power, which is of great significance to the grid structure of the power system and the planning and design of the location and capacity of renewable energy units.

该文提出一种基于时序仿真的可再生能源消纳措施的量化评估方法。首先分析可再生能源消纳的原理及影响因素,基于时序生产模拟法建立计及外送功率与电化学储能的可再生能源消纳评估模型,并提出分时段优化求解模型的算法;然后基于评估模型提出促进可再生能源消纳措施的量化评估方法,并针对量化评估结果提出各项可再生能源消纳措施的贡献度计算方法;最后,基于中国东北某省级电网进行算例分析,验证该文所提方法的合理性和有效性,为电网制定可再生能源消纳措施提供理论依据。

This paper proposes a quantitative assessment method for renewable energy accommodation measures based on time-series simulations. Firstly, by analyzing principle and influencing factors of renewable energy accommodation, we establish a renewable energy accommodation assessment model that takes into account the delivered power and electrochemical energy storage using the time-series production simulation method. Then a segmented optimization algorithm is developed to solve this model. Further, based on the model we present a quantitative assessment method for enhancing the accommodation capacity of renewable energy. Moreover, a method for evaluating the contribution of each measure is obtained according to these quantitative assessment results. Finally, a calculation example based on a provincial power grid in Northeast China is presented to verify the rationality and effectiveness of the proposed method, which provides a theoretical basis for formulating renewable energy accommodation measures.

目前已有的考虑风电场储能配置方法相关研究缺少对电力市场交易场景的考虑以及储能充放电成本计算。因此提出一种考虑多交易和储能充放电成本的风电场日前交易和日内交易的储能容量配置方法。首先,通过Canopy-K-means聚类方法对日内电价历史数据进行聚类以确定日交易场景。其次,参考北欧电力市场交易模式,提出储能单次充放电成本折算方法和考虑多场景的风电场参与日前日内市场的储能配置方法。最后,以丹麦某风电场作为算例,结果表明该储能配置方法的全年净收益比单场景储能配置下最高可以提高6.92%,比无配置储能下提高5.11%,验证了所提方法的可行性及有效性,为风电场储能配置方法提供参考。

Existing research related to wind-farm energy-storage allocation methods has failed to consider power market trading scenarios and the calculation of energy-storage charging and discharging costs. Therefore, a storage-capacity allocation method for wind-farm day-ahead and intraday trading that considers multiple transactions and costs of storage charging and discharging is proposed. First, intraday electricity price history data are clustered using the Canopy-K-means clustering method to determine the day-trading scenario. Second, with reference to the Nordic electricity market trading model, we propose a single charge/discharge cost discounting method for energy storage and a storage-allocation method for wind farms that participate in day-ahead and intraday markets while considering multiple scenarios. Finally, based on a wind farm in Denmark as an example, results show that the annual net revenue of the proposed energy-storage configuration method can be increased by as much as 6.92% and 5.11% as compared with those under single-scene and no energy-storage configurations, respectively. These results verify the feasibility and effectiveness of the proposed method and provide a valuable reference for the wind-farm energy-storage configuration method.