Economic-Environmental Optimal Management of Smart Residential Micro-Grid Considering CCHP System

Abstract

Due to issues such as air pollution and global warming, Distributed Energy Resources (DERs) including Distributed Generations (DGs), Energy Storage Systems (ESSs) and Demand Response Programs (DRPs) are gaining increasing attention to reduce dependency on fossil fuels as well as environmental pollution. In this article, a multi-objective optimization of economic environmental scheduling of DERs in a smart residential Micro-Grid (MG) considering numerous constraints and Demand Response Programs (DRPs) has been presented. To optimize the aforementioned objective functions, a new algorithm called Adaptive Fuzzy Multi-Objective Particle Swarm Optimization (AFMOPSO) has been proposed. This algorithm has a great capability to avoid local optimal solutions by finding a compromise between the general and local search within the decision making area. In addition, a comprehensive Combined Cooling Heating and Power (CCHP) system based on various thermodynamic equations has been proposed. The results demonstrate the efficient performance of the proposed algorithm compared to the other traditional optimization methods via some diversity and spacing criteria.

Keywords:

• CCHP
• distributed energy resources
• economic/environmental scheduling
• particle swarm
• demand response
• residential micro-grid
• energy management system
• optimization

Additional information

Notes on contributors

Saeid Esmaeili

Saeid Esmaeili received the B.S. (Hons.) degree from Iran University of Science and Technology, Tehran, Iran in 2012, and the M.Sc. (Hons.) degree from the Amirkabir University of Technology, Tehran, Iran (Tehran Polytechnic) in 2014, both in electrical engineering. He is currently pursuing the Ph.D. degree in electrical engineering from Iran University of Science and Technology, Tehran, Iran. He was a Visiting Ph.D. student at Aalborg University, Aalborg, Denmark from 2017 to 2018 for 9 months. His research interests include smart grid, renewable energy, power system operation, and stochastic optimization.

Shahram Jadid

Shahram Jadid received the Ph.D. degree in 1991 from the Indian Institute of Technology, Bombay, India. He is a Professor in the Department of Electrical Engineering, Iran University of Science and Technology, Tehran, where he is also currently a member of Center of Excellence for Power System Automation and Operation (CEPSAO). His main research interests are smart grids, power system operation and restructuring, load and energy management.