scholarly journals Economic Dispatch of Micro-grid Based on Sequential Quadratic Programming—Model and Formulation

2019 ◽  
Vol 136 ◽  
pp. 01010
Author(s):  
Bo Xu ◽  
Yumin Zhang ◽  
Jingyu Liu ◽  
Xiaofeng Miao ◽  
Xinyi Zhang ◽  
...  

This paper proposes an economic dispatch strategy for micro-grid based on the sequential quadratic programming (SQP) method. In this paper, in the off-grid operating state, according to the load, the kinds of micro sources and the operating cost, the power output minimizing the operating cost is calculated. When the system is connected to the grid, considering the tiered price, generation cost of CHP (Combined heat and power) based on micro-turbine, and generation cost of fuel cell, the paper calculates micro source power output based on the minimum operating cost. The characteristics of the proposed model and its benefits are investigated through several case studies.

Author(s):  
Heri Suryoatmojo

Currently the needs of electric power increased rapidly along with the development of technology. The increase in power requirements is contrary to the availability of sources of energy depletion of oil and coal. This problem affects the national electrical resistance. To meet the needs of large electric power with wide area coverage is required small scale distributed power generation. This distributed generation (DG) of renewable energy sources sought to minimize the use of energy resources such as oil and coal and connected to the micro grid and use the battery as a power balance. Because of there are many DGs and the use of batteries, therefore it is important to determine the optimal power generation of each plant as well as the use of battery based on the optimal capacity so that requirement of electric power can be met with minimal cost each time. This optimization is known as Dynamic Economic Dispatch. In this study, the methods of Quadratic Programming is required to solve the optimization problem.


2018 ◽  
Vol 28 ◽  
pp. 139-149 ◽  
Author(s):  
Asmaa A. Elsakaan ◽  
Ragab Abdel-Aziz El-Sehiemy ◽  
Sahar S. Kaddah ◽  
Mohammed I. Elsaid

Economic dispatch (ED) is an important optimization task in power system which involves determination of the optimal combination of power outputs for all generating units which will minimize the total fuel cost while satisfying load constraints. There are three criteria in solving the economic load dispatch problem. They are minimizing the total generator operating cost, total emission cost and multi-objective (cost and emission). This paper proposes Moth Flam Optimization (MFO) algorithm for solving the economic dispatch problem with valve point effects and emissions. It determines the optimal generation schedule of generating units by minimizing three criteria. Two test systems consisting of 6 generating units and isolated microgrid have been used to illustrate the effectiveness of the proposed MFO method. The results obtained from MFO is compared with different algorithms. The results show better global convergence and also gives good optimum solution by reducing system generation cost and emission cost.


2014 ◽  
Vol 2014 ◽  
pp. 1-14 ◽  
Author(s):  
Ijaz Ahmed ◽  
Ali Rauf Rao ◽  
Alaf Shah ◽  
Engr Alamzeb ◽  
Junaid Ali Khan

The paper presents the metaheuristic approaches based on pattern search and simulated annealing hybridized with sequential quadratic programming, a powerful nonlinear adaptive technique for estimation of the finest combination of generated power in a given system at lowest operating cost while sustaining the operating condition of system efficiently. The fuel cost is minimized by satisfying the nonlinear operating conditions of thermal units mainly based on generation capacity constraints, generator ramp limit, power balance constraints, and valve point loading effect and by keeping in view the prohibited operating zones, respectively. About the optimization, a comparative study is made for pattern search (PS) and simulated annealing (SA), as a viable global search technique and sequential quadratic programming, an efficient local optimizer and their hybrid versions. The applicability, stability, and reliability of the designed approaches are validated through comprehensive statistical analysis based on Monte Carlo simulations.


Author(s):  
Bo Xu ◽  
Yumin Zhang ◽  
Zhengyi Zhu ◽  
Xinyi Zhang ◽  
Xiaofeng Miao ◽  
...  

Economic Dispatch problem involves the scheduling of generating unit outputs that can satisfy load demand at minimum operating cost. This paper proposes a Lightning Search Algorithm (LSA) to optimize the economic dispatch in power system. LSA has three main steps which are transition projectile, space projectile and lead projectile. The proposed method has been applied to solve 3 unit and 6-unit generation system of economic dispatch problem. The objective of this problem is to minimize a total generation cost and to consider the losses. The propose method has been compared with other techniques such as GA, PSO, ABC, and GWO. The comparative result shows that the LSA can provide better solution with a convergence and robustness for solving economic dispatch.


2012 ◽  
Vol 2012 ◽  
pp. 1-10 ◽  
Author(s):  
A. M. Elaiw ◽  
X. Xia ◽  
A. M. Shehata

This paper presents hybrid differential evolution (DE) and sequential quadratic programming (SQP) for solving the dynamic economic dispatch (DED) problem for generating units with valve-point effects. DE is used as a global optimizer and SQP is used as a fine tuning to determine the optimal solution at the final. The feasibility of the proposed method is validated with five-and ten-unit test systems. Results obtained by DE-SQP method are compared with other techniques in the literature.


Sign in / Sign up

Export Citation Format

Share Document