Mohammadreza Nabati Rad ¹, Reza Tavakoli ², Reza Hassani ³

Affiliations
1 Shahid Beheshti University, Tehran, IR
2 Shahed University, IR
3 Sharif University of Technology, Tehran, IR

Abstract

Background/Objectives: In this paper by utilizing Frequency Tracking electrical loads are shared on Voltage Source Converters and then by applying a Proposed-Supplementary Control System, frequency changes during changing electrical loads inside network is omitted. Methods/Statistical analysis: Using decentralized control in Microgrids and sharing loads on power generation units respect to their nominal capacity are unavoidable approaches to have stable and operational network. Droop control in load sharing is known as practical and significant solution. In droop control, units output frequency, changes proportional to output active power that is not preferable. Simulation results in PSCAD are performance confirmation of proposed control system. Findings: In Proposed-Supplementary Control System, in spite of applying droop control to share loads, nominal frequency of all power generation units are fixed in a floating way while changing output active power Applications/Improvements: Applying Proposed-Supplementary Control System on droop control makes Microgrids appropriate for electric loads which are sensitive to frequency changes.

Keywords

Decentralized Control, Frequency Stability, Load Sharing, Microgrid, Voltage Source Converter

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Hamid Eghbalpour ¹, Mohammadreza Nabati Rad ¹, Reza Hassani ²

Affiliations
1 Shahid Beheshti University, Tehran, IR
2 Sharif University of Technology, Tehran, IR

Abstract

Non-Convex Economic Dispatch (NED) has been addressed as an open and demanding optimization problem in power systems. Due to the fact that realistic ED problems have non-convex cost functions with equality and inequality constraints, conventional search methods are unable to effectively find the global solution. In recent years, because of their great potential to achieve optimal or close-to-optimal solution, meta-heuristic optimization techniques have attracted significant attention to tackle the complexity of NED problems. In this paper, an efficient approach is proposed based on Imperialist Competitive Algorithm (ICA). The proposed algorithm named multi-operator ICA (MuICA) merges the advantages of Repulsion factor, Chaos and Mutation factor operators to the original ICA to maintain the diversity and avoid premature convergence. In order to study the usefulness of the proposed algorithm, its performance is compared with those of the other methods on different test systems. Simulation results confirm the superior performance of MuICA in solving NED problems with different number of thermal units.

Keywords

Economic Dispatch, Imperialist Competitive Algorithm, Meta-Heuristic Algorithms, Non-Convex Optimization, Thermal Power Plants

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