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Operation and sizing of energy storage for wind power plants in a market system

机译:市场系统中风电厂储能的运行和规模调整

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This paper presents a method for the scheduling and operation of energy storage for wind power plants in electricity markets. A dynamic programming algorithm is employed to determine the optimal energy exchange with the market for a specified scheduling period, taking into account transmission constraints. During operation, the energy storage is used to smooth variations in wind power production in order to follow the scheduling plan. The method is suitable for any type of energy storage and is also useful for other intermittent energy resources than wind. An application of the method to a case study is also presented, where the impact of energy storage sizing and wind forecasting accuracy on system operation and economics are emphasized. Simulation results show that energy storage makes it possible for owners of wind power plants to take advantage of variations in the spot price, by thus increasing the value of wind power in electricity markets. With present price estimates, energy storage devices such as reversible fuel cells are likely to be a more expensive alternative than grid expansions for the siting of wind farms in weak networks. However, for areas where grid expansions lead to unwanted interference with the local environment, energy storage should be considered as a reasonable way to increase the penetration of wind power.
机译:本文提出了一种电力市场中风电厂的储能调度和运行方法。考虑传输约束,采用动态规划算法来确定指定排定时段内与市场的最佳能源交换。在运行期间,为了遵循调度计划,使用能量存储来平滑风力发电的变化。该方法适用于任何类型的能量存储,并且还适用于除风以外的其他间歇性能源。还介绍了该方法在案例研究中的应用,其中着重强调了储能大小和风能预测精度对系统运行和经济性的影响。仿真结果表明,储能使风力发电厂的所有者可以通过提高电价在风力发电市场中的价值来利用现货价格的变化。根据目前的价格估算,对于电网薄弱的风电场选址而言,可逆燃料电池等储能装置可能比电网扩展更为昂贵。但是,对于电网扩展导致对本地环境产生不必要干扰的区域,应考虑将能量存储作为增加风电渗透的合理方法。

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