چكيده به لاتين
Abstract:
Part of the planning problem in power systems is the planning of production development and the location of new production units that should be added to the system to meet the predicted load demand at the lowest cost, the system reliability criteria are also met where the purpose of determining the type, Capacity, time of arrival of production units.
In order to achieve this goal, in this study, the mathematical model based on 16 regional power grids of Iran's power grid has been considered, which has considered that energy storage methods as one of the methods of demand side management along with Other Fossil Fuels and Renewable Technologies.
The objective function of the mathematical model is to minimize the total investment costs by taking into account the rate of learning of energy generation technologies, the operation, maintenance and energy not supply costs (the cost of outgoing units) as well as the cost of developing transmission lines between regional electricity Power grid.
In this study, the reliability of the system is estimated using the Bayesian model and is considered as one of the main constraints of the model. Also, the capacity of each regional electricity supply is considered as a backup power unit, and for this purpose a conceptual model for To connect a local area network is defined based on reliability.
The technical limitations of any type of power plant unit, efficiency, energy lost in distribution and transmission systems, as well as environmental restrictions resulting from the emission of greenhouse gases, are also part of important model constraints.
The demand side management tool is presented based on the concepts of game theory to control the behavior of the owners of energy storage technologies
To optimize the model, the genetic algorithm has been used as one of the most effective meta-algorithms up to the horizon of 1420s, in which the developed capacity of production units and transmission lines between the regions are considered as decision variables, to create a population Early algorithms
Negotiation of the load demand curve clearly illustrates the effect of the demand-side management curve based on the concepts of game theory on the growth of the share of renewable energy in the optimal supply basket of the power grid by increasing the system load factor and the technical limitations of power plants.
As well as optimization results indicate the importance of renewable energy and energy storage technologies for providing energy from environmental fossil fossil fuels in the future so that between renewable energy sources in the sun as well as between storage technologies The technology of batteries in the long run and the storage of compressed air and compressed air in the short and medium term have the largest share of production in the energy basket, which indicates the need for proper investment in these areas for energy supply Required power grid.
