Multi area multi objective dynamic economic dispatch with renewable energy and emissions

Author(s):  
Moses peter Musau ◽  
Nicodemus Abungu Odero ◽  
Cyrus Wabuge Wekesa
Energies ◽  
2019 ◽  
Vol 12 (5) ◽  
pp. 871 ◽  
Author(s):  
Fei Zhao ◽  
Jinsha Yuan ◽  
Ning Wang

With the development of microgrid, in order to improve the economy of the microgrid and intelligent service of electric power marketing, the proper management of the output of micro-source in microgrid and power exchange between grids is an urgent problem to be solved. Considering the interests of multiple stakeholders, such as users, power grids, renewable energy and battery, a dynamic economic dispatch model of microgrid is proposed in this paper based on time-of-use power price mechanism. Using a variant of Non-Dominated Sorting Genetic Algorithm (NSGA)-II algorithm, at the same time, an external penalty function is introduced to deal with the constraint conditions, which is convenient for solving multi-objective optimization models. Based on the data of load forecasting and renewable energy output in microgrid, the function of battery and time-of-use power price mechanism is considered to optimize the output of controllable micro-source in the system, in order to achieve the optimization of microgrid dispatch. The model established in this paper considers the overall economic optimization of multi-objective and multi-interest groups within the microgrid, and hence, can get a more comprehensive and reasonable scheduling scheme. It provides effective help for the operation of micro grid system, and realizes the electric power marketing for demand side, so as to provide help for improving the power marketing’s economy and intelligent service.


Energies ◽  
2019 ◽  
Vol 12 (1) ◽  
pp. 181 ◽  
Author(s):  
F. Daniel Santillán-Lemus ◽  
Hertwin Minor-Popocatl ◽  
Omar Aguilar-Mejía ◽  
Ruben Tapia-Olvera

Due to the opening of the energy market and agreements for the reduction of pollution emissions, the use of microgrids attracts more attention in the scientific community, but the management of the distribution of electricity has new challenges. This paper considers different distributed generation systems as a main part to design a microgrid and the resources management is defined in a period through proposed dynamic economic dispatch approach. The inputs are obtained by the model predictive control algorithm considering variations of both pattern of consumption and generation systems capacity, including conventional and renewable energy sources. Furthermore, the proposed approach considers a benefits program to customers involving a demand restriction and the costs of regeneration of the pollutants produced by conventional generation systems. The dispatch strategy through a mathematical programming approach seeks to reduce to the minimum the fuel cost of conventional generators, the energy transactions, the regeneration of polluted emissions and, finally, includes the benefit in electricity demand reduction satisfying all restrictions through mathematical programming strategy. The model is implemented in LINGO 17.0 software (Lindo Systems, 1415 North Dayton Street, Chicago, IL, USA). The results exhibit the proposed approach effectiveness through a study case under different considerations.


2014 ◽  
Vol 651-653 ◽  
pp. 1037-1045
Author(s):  
Ming Xu ◽  
Wen Bin Xiang

With the development of distributed generation technology rapidly, a large number of wind, solar and other renewable energy access to access system . Since renewable energy is intermittent and stochastic, which posed economic dispatch system a serious challenge. Consider the system operating costs and sewage expenses, the paper constructs multi-objective micro-grid system economic dispatch model composed by the wind turbine, diesel engine, battery and load. And through MATLAB / Simulink simulation, model is established to verify the correctness and effectiveness.


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