scholarly journals Bi-Level Optimal Strategy of Islanded Multi-Microgrid Systems Based on Optimal Power Flow and Consensus Algorithm

Energies ◽  
2020 ◽  
Vol 13 (7) ◽  
pp. 1537 ◽  
Author(s):  
Zhilin Lyu ◽  
Xiao Yang ◽  
Yiyi Zhang ◽  
Junhui Zhao
Keyword(s):  
Power Allocation ◽  
Power Supply ◽  
Power Distribution ◽  
Power Flow ◽  
Optimal Power Flow ◽  
Lower Layer ◽  
Consensus Algorithm ◽  
Mutual Aid ◽  
Distributed Generator ◽  
Optimal Power

Aiming at problems of power allocation and economic scheduling for independent multi-microgrid systems, a bi-level optimization method based on optimal power flow and consensus algorithm is proposed. The novelty of the method is that an independent multi-microgrid system is divided into two layers: in the upper layer, with the predicted output range of the microgrids as the input data, each microgrid is considered as a virtual power supply or virtual load, and taking the minimum network loss as the goal, the energy mutual aid and power allocation among the microgrids are transformed into solving the optimal power flow; in the lower layer, taking the upper layer power distribution scheme as the constraint condition, considering load fluctuation and wind/solar generation uncertainty, the optimal dispatch model of the controllable distributed generator is established based on the distributed theory and the consensus algorithm of equal cost increment, and the "plug and play" of the distributed generator is also realized. An islanded multi-microgrid cluster is taken as an example to verify the economy, security, and reliability of the proposed scheme. The advantages of the scheme have been shown by the simulation example. Simulation results show that the upper-layer method not only realizes the optimal power allocation of microgrids, but also reduces the power loss of the energy mutual aid among the microgrids; through the optimal scheduling of controllable power supply in the microgrid, the lower-level scheme not only improves the economic benefit of the microgrid, but also well suppresses the negative effects of the uncertainties, prediction errors and power fault removal on the multi-microgrid system, which improves the robustness of the system.

scholarly journals Black hole optimizer for the optimal power injection in distribution networks using DG

2021 ◽  
Vol 2135 (1) ◽  
pp. 012010
Author(s):  
Oscar Danilo Montoya ◽  
Diego Armando Giral-Ramírez ◽  
Luis Fernando Grisales-Noreña
Keyword(s):  
Black Hole ◽  
Power Distribution ◽  
Power Flow ◽  
Optimal Power Flow ◽  
Distribution Networks ◽  
Test System ◽  
Load Flow ◽  
Optimization Strategy ◽  
Optimal Power ◽  
Distribution Company

Abstract The optimal sizing of Distributed Generators (DG) in electric power distribution networks is carried out through a metaheuristic optimization strategy. To size DG it is proposed an optimal power flow model is formulated by considering that the location of these sources has been previously defined by the distribution company. The solution of the optimal power flow is reached with the Black Hole Optimizer (BHO). A methodology is used master-slave optimization methodology, where the BHO (i.e., master stage) defines the sizes of the DG and the slave stage evaluates the objective function with a load flow algorithm, this work using the triangular-based power flow method. Numerical results in the 33-node and the 69-node test system demonstrates the effectiveness and robustness of the proposed approach when compared with literature results.

Stochastic Economic Load Dispatch Under Supply and Load Uncertainty – A Case Study on Modified IEEE 5 BUS Power System

2021 ◽  
Vol 14 ◽  
Author(s):  
Anik Nath ◽  
Nur Mohammad
Keyword(s):  
Power System ◽  
Power Supply ◽  
Power Flow ◽  
Optimal Power Flow ◽  
Electrical Energy ◽  
Maximum Power ◽  
Economic Load Dispatch ◽  
Huge Amount ◽  
Optimal Power ◽  
Stochastic Load

Background: In the contemporary world, the use of energy, especially electrical energy is increasing rapidly. Without this power, modern civilized life cannot think for a moment. Thereby a huge amount of electrical energy is needed. We have to generate a huge amount of electricity to meet the growing demand maintaining necessary conditions and constraints. A rapid divergent strategy called Economic Load Dispatch (ELD) has been introduced to distribute generated energy economically during times of crisis. The problem of economic load dispatch is solved with the help of optimal power flow (OPF) formation. The OPF is a primary tool related to the optimum generation schedule available in an interconnected power system to reduce production costs subject to the limitations and constrains of the relevant system. The static economic dispatch optimizes over single dispatch intervals, which is called “ED static”. Due to high load variability and uncertainty, the ED-static is not work properly. Thereby a deterministic look-ahead dispatch is established which take care of the increasing renewable penetration. To take decisions against uncertainty stochastic load dispatch is required. In this research paper, an economic study of the modified IEEE 5 bus power system will be presented. Moreover, some intelligent changes to this system will include the goal of reducing costs, including maximum power supply. The optimal power flow of the modified IEEE 5 bus system considering plausible scenario will represent based on stochastic load dispatch optimization model. Method: The extension version of Economic load dispatch where load flow equations are applied and as a system of supply-demand balance constraints is called optimal power flow. To solve the optimal power flow Lagrangian method is used. Karusk-Khun-Tucker (KKT) conditions are applied to solving the Lagrangian method. Results: The results show that during uncertainty and stochastic loads, the storage system with renewable power and generator is suitable for cost reduction with maximum supply. Conclusion: The results further show that for any type of loads such as fixed load and stochastic load in IEEE 5Bus system, if both renewable energies such as wind power, solar power, the storage devices are used in the generation system, which ensures maximum power supply with the cost is reduced.

Optimal Power Flow Using Newton’s Method

2012 ◽  
Vol 3 (2) ◽  
pp. 167-169
Author(s):  
F.M.PATEL F.M.PATEL ◽  
◽  
N. B. PANCHAL N. B. PANCHAL
Keyword(s):  
Newton’S Method ◽  
Newton's Method ◽  
Power Flow ◽  
Optimal Power Flow ◽  
Optimal Power
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