Overview: A Simulation Based Metaheuristic Optimization Approach to Optimal Power Dispatch Related to a Smart Electric Grid
نویسندگان
چکیده
The implementation of intelligent power grids, in form of smart grids, introduces new challenges to the optimal dispatch of power. Thus, optimization problems need to be solved that become more and more complex in terms of multiple objectives and an increasing number of control parameters. In this paper, a simulation based optimization approach is introduced that uses metaheuristic algorithms for minimizing several objective functions according to operational constraints of the electric power system. The main idea is the application of simulation for computing the fitnessvalues subject to the solution generated by a metaheuristic optimization algorithm. Concerning the satisfaction of constraints, the central concept is the use of a penalty function as a measure of violation of constraints, which is added to the cost function and thus minimized simultaneously. The corresponding optimization problem is specified with respect to the emerging requirements of future smart electric grids.
منابع مشابه
Per Unit Coding for Combined Economic Emission Load Dispatch using Smart Algorithms
This paper proposes per unit coding for combined economic emission load dispatch problem. In the proposed coding, it is possible to apply the percent effects of elements in any number and with high accuracy in objective function. In the proposed per unit coding, each function is transformed into per unit form based on its own maximum value and has a value from 0 to 1. In this paper, particle sw...
متن کاملOptimal Intelligent Control of Plug-in Fuel Cell Electric Vehicles in Smart Electric Grids
In this paper, Plug-in Fuel Cell Electric Vehicle (PFCEV) is considered with dual power sources including Fuel Cell (FC) and battery Energy Storage. In order to respond to a transient power demand, usually supercapacitor energy storage device is combined with fuel cell to create a hybrid system with high energy density of fuel cell and the high power density of battery. In order to simulate the...
متن کاملParticle Swarm Optimization with Smart Inertia Factor for Combined Heat and Power Economic Dispatch
In this paper particle swarm optimization with smart inertia factor (PSO-SIF) algorithm is proposed to solve combined heat and power economic dispatch (CHPED) problem. The CHPED problem is one of the most important problems in power systems and is a challenging non-convex and non-linear optimization problem. The aim of solving CHPED problem is to determine optimal heat and power of generating u...
متن کاملAnalysis of Reliability Indices in Next Generation Microgrids Under Uncertainties of Load and Renewable Power Production
In this paper, Multi-Microgrids (MMG) are considered as future smart distribution grids, in which small scale energy resources (SSER) are main power generation units with small scales. Optimal operation of microgrids in defined intervals is carried out to achieve economic conditions in distribution systems. The defined operating problem is optimized using a heuristic algorithm considering uncer...
متن کاملProbabilistic Allocation Of Parking lots In Distribution Network Considering Uncertainty.
In this paper, parking lots with bidirectional power flow capability, is used as an achievements of smart power systems. Based on operating conditions, electric vehicles can be considered as a load or generator. For optimal operation of power systems, allocation of these novel units is also necessary same as other distributed generation. In this paper, an optimization problem is proposed for...
متن کامل