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Assessing the potential of merchant energy storage to maximize social welfare of renewable-based distribution networks considering risk analysis

机译:考虑风险分析,评估商家能源储存的潜力最大化可再生基于可再生的分销网络的社会福利

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摘要

Nowadays, a progressive increase in the penetration of dispersal renewable energies in electricity markets has imposed many serious challenges such as congestion of lines, customer dissatisfaction, and disassembly of nodal prices. To counter these problems, this article examines merchant cryogenic energy storage (CES) along with renewable resources to relieve the congestion of distribution systems considering distribution locational marginal pricing (DLMP). Moreover, a novel reconfiguration mechanism has been incorporated into the model to increase the performance of CES in smoothing DLMP. The proposed problem is formulated to alleviate the possible congestion aimed at maximizing the social welfare of the system while meeting the environmental constraints. To deal with uncertainty subject to renewable generation, and efficient risk-constrained stochastic programming is extended employing the conditional value-at-risk index to create a meaningful trade-off between the expected profit and the risk of exposure to the uncertainty. In the end, the simulation was demonstrated on the IEEE 33-bus and 118-bus distribution systems to prove the efficacy of the proposed method. The results evidenced that the proposed approach not only alleviates the congestion of network but also can smooth the LMPs at different locations.
机译:如今,电力市场中分散可再生能源渗透的渐进性增加造成了许多严重的挑战,如线条,客户不满和拆卸节点价格的拥堵。为了解决这些问题,本文审查了商家低温能量存储(CES)以及可再生资源,以减轻考虑分布位置边际定价(DLMP)的分配系统的拥塞。此外,已经将新的重新配置机制纳入模型中以增加CES在平滑DLMP中的性能。建议的问题被制定为缓解可能拥塞,旨在最大化系统的社会福利,同时满足环境限制。为了应对可再生生成的不确定性,延长有效的风险限制随机编程,延长了有条件的价值 - 风险指数,以在预期的利润与暴露不确定性的风险之间创造有意义的权衡。最后,在IEEE 33总线和118总线分配系统上证明了模拟,以证明该方法的功效。结果证明,拟议的方法不仅可以减轻网络拥塞,而且可以平滑LMP在不同的位置。

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