Profit-Based Unit Commitment for a GENCO Equipped with Compressed Air Energy Storage and Concentrating Solar Power Units

Energies

Mostafa Nasouri Gilvaei¹  Mahmood Hosseini Imani²  Anahita Golrang³  Li Li⁴  Mojtaba Jabbari Ghadi⁴ 

[1] Department of Electrical Engineering, University of Guilan, Rasht 4199613776, Iran;Department of Energy, Politecnico di Torino, 10129 Torino, Italy;Department of Information Security and Communication Technology, NTNU Norwegian University of Science and Technology, 2815 Gjøvik, Norway;School of Electrical and Data Engineering, University of Technology Sydney, NSW 2007, Australia;

关键词: compressed air energy storage;    concentrating solar power plant;    electricity markets;    generation companies;    profit-based unit commitment;   

DOI  :  10.3390/en14030576

来源: DOAJ

【 摘 要 】

With the advent of restructuring in the power industry, the conventional unit commitment problem in power systems, involving the minimization of operation costs in a traditional vertically integrated system structure, has been transformed to the profit-based unit commitment (PBUC) approach, whereby generation companies (GENCOs) perform scheduling of the available production units with the aim of profit maximization. Generally, a GENCO solves the PBUC problem for participation in the day-ahead market (DAM) through determining the commitment and scheduling of fossil-fuel-based units to maximize their own profit according to a set of forecasted price and load data. This study presents a methodology to achieve optimal offering curves for a price-taker GENCO owning compressed air energy storage (CAES) and concentrating solar power (CSP) units, in addition to conventional thermal power plants. Various technical and physical constraints regarding the generation units are considered in the provided model. The proposed framework is mathematically described as a mixed-integer linear programming (MILP) problem, which is solved by using commercial software packages. Meanwhile, several cases are analyzed to evaluate the impacts of CAES and CSP units on the optimal solution of the PBUC problem. The achieved results demonstrate that incorporating the CAES and CSP units into the self-scheduling problem faced by the GENCO would increase its profitability in the DAM to a great extent.

【 授权许可】

Unknown