Impacts of Renewable Sources of Energy on Bid Modeling Strategy in an Emerging Electricity Market Using Oppositional Gravitational Search Algorithm
Impacts of Renewable Sources of Energy on Bid Modeling Strategy in an Emerging Electricity Market Using Oppositional Gravitational Search Algorithm
复制标题
使用对立引力搜索算法可再生能源对新兴电力市场投标建模策略的影响
DOI：
10.3390/en14185726
复制
发表时间：
2021
期刊：
影响因子：
3.2
通讯作者：
Fahad R. Albogamy
中科院分区：
文献类型：
--
作者：
S. Singh;M. Fozdar;H. Malik;I. Khan;Sattam Al Otaibi;Fahad R. Albogamy
在动态电力市场中，发电商可以通过引入竞价策略机制来获得最大收益。在电力行业，可再生资源具有显著的逐步使用，其对行业内详细投标方法的产生的影响变得更加复杂。由于这些可再生资源的不规则性，并且由于它们受到几次波动的影响，因此发电存在固有的问题。考虑到这些因素，已经尝试创建一个模型的投标策略，以优化发电商的利益，使用对立的引力搜索算法。分别采用威布尔分布和贝塔分布描述风速廓线和太阳辐射的随机特性。对于IEEE-30和IEEE-57框架，正在检查和解释所建议的方法。与其他优化方法相比，这种方法的结果被考虑在内，并发现它在解决投标困难方面优于其他技术。此外，值得注意的是，可再生能源对竞价策略的影响降低了市场出清和火电发电成本，并鼓励受可再生能源影响的生产商将多余的电力投入实时市场。
Power suppliers in a dynamic power market can achieve full benefit by introducing a bidding strategy mechanism. In the power sector, renewable resources have significant gradual usage and their effect on the production of detailed bidding approaches is becoming further complicated in the industry. Due to the irregular nature of these renewable resources and because they are subject to several fluctuations, there is an inherent issue with generating electricity. Taking these considerations into account, attempts have been made to create a model of bidding strategy to optimize the benefit of the electricity producers using the oppositional gravitational search algorithm. The Weibull and Beta distribution functions are utilized to describe the stochastic characteristics of the wind-speed profile and solar-irradiation, respectively. For the IEEE-30 and IEEE-57 frameworks, the suggested method is being checked and explained. In comparison to other optimization approaches, the results of this approach were taken into account, and it was discovered that it outperformed other techniques in addressing bid difficulties. In addition, it is worth noting that the impact of renewable energy on the bidding strategy lowered market clearing and thermal power generating costs, and encouraged renewable influenced producers to put forward the excess electricity into the real-time market.