Multi-timescale Collaborative Optimization of Distribution, Distributed Generation and Load in Microgrid
نویسندگان
چکیده
The distribution loads, output of distributed generations (DGs) and dynamic power price present obvious time-sequence property, the typical property is studied in this paper. The model of microgrid (including adjustable load, DGs, storage and dynamic power price) is studied. A multi-timescale collaborative optimization model is built towards microgrid; main measures in different timescale optimization are realized. An improved adaptive genetic algorithm is used to solve the optimization problem, which improved the efficiency and reliability. The proposed optimization model is simulated in IEEE 33 node system; the results show it’s effective.
منابع مشابه
Optimal Allocation of Distributed Generation in Microgrid by Considering Load Modeling
Recent increment in carbon emission due to the dependency on fossil fuels in power generation sector is a critical issue in the last decade. The motivation to Distributed Generation (DG) in order to catch low carbon networks is rising. This research seeks to experience DG existence in local energy servicing in microgrid structure. Optimal sizing and placement of DG units is followed by this pap...
متن کاملOptimal Operation Management of Grid-connected Microgrid Using Multi-Objective Group Search Optimization Algorithm
Utilizing distributed generations (DGs) near load points has introduced the concept of microgrid. However, stochastic nature of wind and solar power generation as well as electricity load makes it necessary to utilize an energy management system (EMS) to manage hourly power of microgrid and optimally supply the demand. As a result, this paper utilizes demand response program (DRP) and battery t...
متن کاملPresenting an evolutionary improved algorithm for the multi-objective problem of distribution network reconfiguration in the presence of distributed generation sources and capacitor units with regard to load uncertainty.
Reconfiguration of distribution network feeders is one of the well-known and effective strategies in the distribution network to obtain a new optimal configuration for the distribution feeders by managing the status of switches in the distribution network. This study formulates the multi-objective problem of reconfiguration of a distribution network in the optimal presence of distributed genera...
متن کاملOptimal Operation of Microgrid in the presence of Real-time Pricing Demand Response Program using Artificial Bee Colony Algorithm with a Modified Choice Function
Abstract: Microgrid is one of the newest technologies in power systems. Microgrid can usually has a set of distributed energy resources that makes it able to operate separate from power grid. Optimal operation of microgrids means the optimal dispatch of power resources through day and night hours. This thesis proposed a new method for optimal operation of microgrid. In this method, real-time pr...
متن کاملOptimal Location and Sizing of Distributed Generations in Distribution Networks Considering Load Growth using Modified Multi-objective Teaching Learning Based Optimization Algorithm
Abstract: This paper presents a modified method based on teaching learning based optimization algorithm to solve the problem of the single- and multi-objective optimal location of distributed generation units to cope up the load growth in the distribution network .Minimizing losses, voltage deviation, energy cost and improved voltage stability are the objective functions in this problem. Load g...
متن کامل