Abstract
The safety and stability of microgrid (MG) operations are closely related to the capacity of distributed energy resources. A conventional MG model usually adopts investment cost as an objective function. Recently, the issue of environmental protection has been gradually emphasized. Therefore, the objective function of the proposed sustainable microgrid (SMG) model in this study considers the investment cost and environmental protective cost and the decision variable is the capacity of the distributed power. Moreover, weather and electric power load data from the National Centers for Environmental Information database (2010) were analyzed in Matlab program for the case study of Alabaster city, United States of America (USA). For the sake of a stable and economical SMG operation, this study also attempts to use a multi-objective capacity optimal model for effectively solving SMG under a multi-population differential evolution (MPDE) algorithm with dominant population (DP), which can improve the convergence speed in an SMG model. At the same time, considering that different scheduling strategies will also affect the optimization results, two strategies are proposed for the priority order of distributed generation sources. The optimization results under the two scheduling strategies show that the validation of the MPDE algorithm in SMG capacity optimization problems can economize investment costs and enable an environmentally friendly power supply.
Highlights
Energy is among the crucial basic materials for developing a national economy and improving people’s living standards
The common methods to optimize the capacity of MG systems are as follows: using HOMER software Pro Version 3.9.1 (HOMER Energy, Boulder, CO, United States of America (USA)) [7], using a mixed integer linear programming (MILP) model [8], or using optimization algorithms, such as particle swarm optimization (PSO), a genetic algorithm (GA), a differential evolution (DE) algorithm, etc
For the operation scenarios of an MG system in different seasons, an improved DE algorithm is proposed in this paper and analyzed according to how different scheduling strategies use it, in order to grasp the internal rules of each device running state in various scenarios
Summary
Energy is among the crucial basic materials for developing a national economy and improving people’s living standards. Reference [15] raised a dynamic economy and control method for an islanded microgrid in which a diesel generator and energy storage battery acted as the main power source with respect to the system power fluctuation and a GA was used to solve the problem. The objective was to minimize the overall production cost and verify the effectiveness of the algorithm in different test systems This literature does not consider renewable sources and does not fit the current development of energy. In most of the existing literature, despite so much research having dealt with solutions, there is little research on scheduling strategies, so this paper studies the impact of different scheduling strategies on the capacity optimal allocation of grid-connected MG There are both energy storage and grid in an existing grid-connected MG.
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