Multi-Objective Antlion Algorithm for Short-Term Hydro-thermal Self-scheduling with Uncertainties

Abstract

In this paper, a stochastic multi-objective structure is introduced in joint energy and reserve market to allow energy generation companies participating in the short-term hydro-thermal self-scheduling with uncertainties. To solve this problem, an antlion optimization (ALO) algorithm is used. In addition, uncertainties including energy price, spinning and non-spinning reserve prices, output power of the wind, photovoltaic and small hydro units are mentioned. In this study, two methods are used to generate stochastic multi-objective scenarios, namely lattice monte-carlo simulation and roulette wheel mechanism (RWM). After that, the main purpose of the study is described, i.e. making GENCOs able to achieve the maximum profit and the minimum emission by using a multi-objective function considering a stochastic process. To reach this aim, the mixed integer programming (MIP) which includes a set of multi stage deterministic scenarios is employed. However, some special cases should be introduced in the formulation structure of the presented scheduling regarding hydro-thermal units to make the SMO-HTSS problem with wind, photovoltaic and small hydro units similar to the real time modeling. Since optimal solutions are produced in this method, one can allude to the application of the ε-constraint. Nevertheless, in order to select one of the most appropriate solutions among Pareto solutions obtained, the utilization of fuzzy method has been presented. In the end, as shown in this paper, the ALO algorithm is limited to the ε-constraint; some tests are carried out on an IEEE 118-bus test system to verify the accuracy and validity of the proposed method.

KEYWORDS:

• Antlion optimization algorithm
• Hydro-thermal self-scheduling
• Price uncertainty
• SH power plant
• WP and PV power uncertainty

Additional information

Notes on contributors

Mohammad Reza Behnamfar

Mohammad Reza Behnamfar was born in Ahvaz, Iran, in 1974. He received the B S degree in electrical engineering from, Islamic Azad University of Kazeroon, Fars, in 2000 and the MS degree in electronic engineering from Islamic Azad University of Bushehr, Bushehr,Iran, in 2007. Currently,he is pursuing his doctoral studies in the Department of Electrical Engineering, Dezful Branch, Islamic Azad University, Dezful, Iran. His main reserch interests include power system operation and restructuring, renewable energy sources and application of stochastic optimization in power systems. Email: [email protected]

Hassan Barati

Hassan Barati was born in Dezful, Iran, in 1969. He received the BSc degree in electronic engineering from the Isfahan University of Technology, Isfahan, Iran, in 1993, the MSc degree in electrical engineering from the Tabriz University, Tabriz, Iran, in 1996 and the PhD degree in electrical engineering from the Islamic Azad University, Science and Research Branch, Tehran, Iran, in 2007. Currently, he is an associate professor in the Department of Electrical Engineering, Dezful Branch, Islamic Azad University, Dezful, Iran. His research interests are power systems operation & reliability, restructured power systems, micro-grids and smart grids, FACTS devices.

Mahdi Karami

Mahdi Karami received the B S degree in electrical engineering from the University of Tehran, Tehran, Iran, in 2002 and the MSc and PhD degrees from Iran University of Science and Technology, Tehran, in 2005 and 2013, respectively. Currently, he is an professor in the Department of Electrical Engineering, Ahvaz Branch, Islamic Azad University, Ahvaz, Iran.His research interests include renewable energy systems, electricity markets, and power system operation and restructuring. Email: [email protected]