Simulation tools for electricity markets considering power flow analysis

被引：6

作者：

Veiga, Bruno ^{[1
]}

Santos, Gabriel ^{[1
]}

Pinto, Tiago ^{[1
]}

Faia, Ricardo ^{[1
]}

Ramos, Carlos ^{[1
]}

Vale, Zita ^{[1
]}

机构：

[1] Polytech Porto ISEP IPP, Sch Engn, GECAD Res Grp Intelligent Engn & Comp Adv Innovat, Porto, Portugal

来源：

ENERGY | 2023年 / 275卷

基金：

欧盟地平线“2020”;

关键词：

Electricity markets; Power flow analysis; Simulation; Web-services;

D O I：

10.1016/j.energy.2023.127494

中图分类号：

O414.1 [热力学];

学科分类号：

摘要：

The share of renewable generation is growing worldwide, increasing the complexity of the grids operation to maintain its stability and balance. This leads to an increased need for designing new electricity markets (EMs) suited to this new reality. Simulation tools are widely used to experiment and analyze the potential impacts of new solutions, such as novel EM designs and power flow analysis and validation. This work introduces two web services for EMs' simulation and study, in addition to power flow evaluation and validation, namely the Elec-tricity Market Service (EMS) and Power Flow Service (PFS). EMS enables the simulation of two auction-based algorithms and the execution of three wholesale EMs. PFS creates and evaluates electrical grids from the transmission to distribution grids. Being published as web services facilitates their integration with other ser-vices, systems, or software agents. Combining them allows for the simulation of EMs from wholesale to local markets and testing if the results are compatible with a specific grid. This article presents a detailed description of each service and a case study of an electricity trading community participating in the MIBEL day-ahead market through an aggregator to reduce their energy bills. The results demonstrate the accuracy and usefulness of the proposed services.

引用

页数：10

共 42 条

[1] Decentralized bi-level stochastic optimization approach for multi-agent multi-energy networked micro-grids with multi-energy storage technologies [J].