首页> 外文期刊>Journal of Energy Storage >Economics of energy storage options to support a conventional power plant: A stochastic approach for optimal energy storage sizing
【24h】

Economics of energy storage options to support a conventional power plant: A stochastic approach for optimal energy storage sizing

机译:能量存储选项的经济学,以支持传统的电厂:一种随机储能尺寸的随机方法

获取原文
获取原文并翻译 | 示例
           

摘要

Is an energy storage system (ESS) an economic choice to enhance the flexibility and controllability of a conventional power plant (CPP)? So far, most literatures have investigated the profitability of ESSs beside renewable power plants (RESs). The focus of this paper is on economic assessment of an ESS alongside a CPP in a price taker generation company (GENCO). This work presents a method to determine economic storage technology options and their optimal power and energy capacities. A stochastic price based unit commitment (PBUC) conjugated with a stochastic price based storage commitment (PBSC) is developed in the ESS sizing problem. The output determines the optimal participation of a power plant and its optimum sized ESS in day-ahead energy and spinning reserve markets and bilateral contracts. Numerical results confirm the capability of the proposed model to improve the operational characteristics of the CPPs and to increase the profitability of GENCOs. The results show that the ESS increases the GENCOs' profit by up to 36%. The ESS, using the proposed model, can reduce the number of on line hours of the CPP about 13%. Also, the GENCO can offer about 10% lower price for bilateral contracts.
机译:是一种能源存储系统(ESS)一种经济选择,可以增强传统发电厂(CPP)的灵活性和可控性吗?到目前为止,大多数文献都研究了可再生电厂(RESS)旁边的ESS的盈利能力。本文的重点是在价格接受公司(Genco)的CPP中对ESS的经济评估。这项工作提出了一种确定经济存储技术选择及其最佳功率和能量能力的方法。与随机价格基于价格的储存承诺(PBSC)共轭的随机价格为基础的单位承诺(PBUC)是在ESS调整问题中进行的。该输出决定了发电厂的最佳参与及其最佳尺寸的ESS,在前方的能源和纺纱储备市场和双边合同中。数值结果证实了提出的模型能够改善CPP的运行特征,并提高甘道科的盈利能力。结果表明,ESS将GENCOS的利润提高了36%。使用所提出的模型的ESS可以减少CPP的线数量为约13%。此外,Genco可以为双边合同提供约10%的价格。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号