Three-level secondary negawatt trading market mechanism with capability of congestion management

IF 2.4 Q2 ENGINEERING, ELECTRICAL & ELECTRONIC
IET Smart Grid Pub Date : 2023-12-21 DOI:10.1049/stg2.12150
Amirhossein Amirmahani, Abed Bagheri, Shahram Jadid
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Abstract

Modern power markets are witnessing various energy transactions, and the participants are focusing on different objectives like energy cost, profit, and environmental concerns as key parts of their strategy. In recent years, producers, prosumers, and other participants found ways to act freely in the grid and maximise their profit. By using negawatt trading (selling the right of buying to other participants), consumers will find a way to choose their role (seller, buyer, or negawatt trader) as they desire in the market and can join the market to maximise their utility function. A three-level secondary market is proposed that would work besides the day-ahead market. In the designed market, the network manager first determines the value of negawatt for each time in each region by considering the network conditions, and then by exchanging the information specific to each group, buyers and sellers have an opportunity to trade negawatt as much as they desire with the specified price in each time. The designed market also provides a mechanism to control the exchanges between different areas, which allows the network manager to control the grid conditions. The results show that the introduced market can be profitable for each participant including the DSO and work without interfering with the day-ahead market process.

Abstract Image

具有拥塞管理功能的三级二级负瓦交易市场机制
现代电力市场见证了各种能源交易,参与者将能源成本、利润和环境问题等不同目标作为其战略的关键部分。近年来,生产商、消费商和其他参与者找到了在电网中自由行动并实现利润最大化的方法。通过使用负瓦特交易(将购买权出售给其他参与者),消费者将找到一种方法,根据自己的意愿选择在市场中的角色(卖方、买方或负瓦特交易者),并可加入市场以实现其效用函数的最大化。除日前市场外,我们还提出了一个三级二级市场。在设计的市场中,网络管理员首先通过考虑网络条件确定每个地区每个时间的负瓦特价值,然后通过交换每个组的特定信息,买卖双方有机会在每个时间以指定的价格交易他们想要的负瓦特。所设计的市场还提供了一种控制不同区域间交换的机制,从而使网络管理员能够控制电网状况。结果表明,引入的市场可以为包括电力供应服务公司在内的每个参与者带来利润,并且不会干扰日前市场的进程。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
IET Smart Grid
IET Smart Grid Computer Science-Computer Networks and Communications
CiteScore
6.70
自引率
4.30%
发文量
41
审稿时长
29 weeks
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