Optimal Scheduling of a Micro-grid through hybrid method of Nash Equilibrium -Genetic Algorithm
محورهای موضوعی : journal of Artificial Intelligence in Electrical Engineering
امیر خانجانزاده
1
,
Mohammad Hosein Salman Yengejeh
2
,
mehdi rajabzadeh
3
,
amir hashempourmafi
4
,
naser moslehi milani
5
1 - Department of electrical engineering, Chalous Branch, Islamic Azad University- Chalous, Iran
2 - Department of Mathematics, Chalous Branch, Islamic Azad University- Chalous, Iran
3 - Department of computer, Chalous Branch, Islamic Azad University- Chalous, Iran
4 - Department of computer, Chalous Branch, Islamic Azad University- Chalous, Iran
5 - Department of physics , ahar Branch, Islamic Azad University, ahar, Iran.
کلید واژه: micro-grid, Nash-Genetic hybrid method, wind farm, photovoltaic, combined heat and power, ,
چکیده مقاله :
Increasing the use of fossil fuels and environmental concerns have led to the expansion of renewable resources and their replacement with conventional sources. In this paper, a robust algorithm for a micro-grid (MG) planning with the goal of maximizing profits is presented in day-ahead market. MG containing wind farms (WFs), photovoltaic (PV), fuel cell (FC), combined heat and power(CHP) units, tidal steam turbine (TST) and energy storage devices (ESDs). This algorithm is divided into two main parts: 1) Optimal planning of each energy resource; 2) Using the Nash equilibrium –genetic algorithm (NE-GA) hybrid method to determine the optimal MG strategy. In energy resources optimal planning, using a stochastic formulation, the generation bids of each energy resource is determined in such a way that the profit of each one is maximized. Also, the constraints of renewable and load demands and selection the best method of demand response (DR) program are investigated. Then the Nash equilibrium point is determined using the primary population produced in the previous step using the NE-GA hybrid method to determine the optimal MG strategy. Thus, using the ability of the genetic algorithm method, the Nash equilibrium point of the generation units is obtained at an acceptable time, and This means that none of the units are willing to change their strategy and that the optimal strategy is extracted. Comparison of results with previous studies shows that the expected profit in the proposed method is more than other method.
Increasing the use of fossil fuels and environmental concerns have led to the expansion of renewable resources and their replacement with conventional sources. In this paper, a robust algorithm for a micro-grid (MG) planning with the goal of maximizing profits is presented in day-ahead market. MG containing wind farms (WFs), photovoltaic (PV), fuel cell (FC), combined heat and power(CHP) units, tidal steam turbine (TST) and energy storage devices (ESDs). This algorithm is divided into two main parts: 1) Optimal planning of each energy resource; 2) Using the Nash equilibrium –genetic algorithm (NE-GA) hybrid method to determine the optimal MG strategy. In energy resources optimal planning, using a stochastic formulation, the generation bids of each energy resource is determined in such a way that the profit of each one is maximized. Also, the constraints of renewable and load demands and selection the best method of demand response (DR) program are investigated. Then the Nash equilibrium point is determined using the primary population produced in the previous step using the NE-GA hybrid method to determine the optimal MG strategy. Thus, using the ability of the genetic algorithm method, the Nash equilibrium point of the generation units is obtained at an acceptable time, and This means that none of the units are willing to change their strategy and that the optimal strategy is extracted. Comparison of results with previous studies shows that the expected profit in the proposed method is more than other method.
