Multi-Objective Distribution System Optimization using Euclidean Distance Calculations in the Genetic Operators

The hybrid renewable energy system is a promising and significant technology for clean and sustainable island power supply. Among the abundant ocean energy sources, tidal current energy appears to be very valuable due to its excellent predictability and stability, particularly compared with the intermittent wind and solar energy. In this paper, an island hybrid energy microgrid composed of photovoltaic, wind, tidal current, battery and diesel is constructed according to the actual energy sources. A sizing optimization method based on improved multi-objective grey wolf optimizer (IMOGWO) is presented to optimize the hybrid energy system. The proposed method is applied to determine the optimal system size, which is a multi-objective problem including the minimization of annualized cost of system (CACS) and deficiency of power supply probability (DPSP). MATLAB software is utilized to program and simulate the hybrid energy system. Optimization results confirm that IMOGWO is feasible to optimally size the system, and the energy management strategy effectively matches the requirements of system operation. Furthermore, comparison of hybrid systems with and without tidal current turbines is undertaken to confirm that the utilization of tidal current turbines can contribute to enhancing system reliability and reducing system investment, especially in areas with abundant tidal energy sources.

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Commit to Distribution System Optimization

Opflow ◽

10.1002/opfl.1497 ◽

2021 ◽

Vol 47 (2) ◽

pp. 6-7

Author(s):

Cynthia Andrews‐Tate ◽

Kenny Chau ◽

Yan Zhang

Keyword(s):

Distribution System ◽

System Optimization

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Multi-Objective Sizing Optimization of Hybrid Renewable Energy Microgrid in a Stand-Alone Marine Context

Electronics ◽

10.3390/electronics10020174 ◽

2021 ◽

Vol 10 (2) ◽

pp. 174

Author(s):

Wenqiang Zhu ◽

Jiang Guo ◽

Guo Zhao

Keyword(s):

Renewable Energy ◽

Optimization Problem ◽

System Optimization ◽

Economic Benefits ◽

Grey Wolf Optimizer ◽

Grey Wolf ◽

Energy Management Strategy ◽

Sizing Optimization ◽

Multi Objective ◽

Hybrid Renewable Energy

Islands are the main platforms for exploration and utilization of marine resources. In this paper, an island hybrid renewable energy microgrid devoted to a stand-alone marine application is established. The specific microgrid is composed of wind turbines, tidal current turbines, and battery storage systems considering the climate resources and precious land resources. A multi-objective sizing optimization method is proposed comprehensively considering the economy, reliability and energy utilization indexes. Three optimization objectives are presented: minimizing the Loss of Power Supply Probability, the Cost of Energy and the Dump Energy Probability. An improved multi-objective grey wolf optimizer based on Halton sequence and social motivation strategy (HSMGWO) is proposed to solve the proposed sizing optimization problem. MATLAB software is utilized to program and simulate the optimization problem of the hybrid energy system. Optimization results confirm that the proposed method and improved algorithm are feasible to optimally size the system, and the energy management strategy effectively matches the requirements of system operation. The proposed HSMGWO shows better convergence and coverage than standard multi-objective grey wolf optimizer (MOGWO) and multi-objective particle swarm optimization (MOPSO) in solving multi-objective sizing problems. Furthermore, the annual operation of the system is simulated, the power generation and economic benefits of each component are analyzed, as well as the sensitivity.

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Multi-objective optimization of optimal capacitor allocation in radial distribution systems

International Journal of Emerging Electric Power Systems ◽

10.1515/ijeeps-2019-0206 ◽

2020 ◽

Vol 21 (3) ◽

Author(s):

Sayed Mir Shah Danish ◽

Mikaeel Ahmadi ◽

Atsushi Yona ◽

Tomonobu Senjyu ◽

Narayanan Krishna ◽

...

Keyword(s):

Radial Distribution ◽

Distribution System ◽

Distribution Systems ◽

Reactive Power ◽

Stability Index ◽

Distribution Networks ◽

Optimization Method ◽

Optimal Size ◽

Multi Objective Optimization ◽

Multi Objective

AbstractThe optimal size and location of the compensator in the distribution system play a significant role in minimizing the energy loss and the cost of reactive power compensation. This article introduces an efficient heuristic-based approach to assign static shunt capacitors along radial distribution networks using multi-objective optimization method. A new objective function different from literature is adapted to enhance the overall system voltage stability index, minimize power loss, and to achieve maximum net yearly savings. However, the capacitor sizes are assumed as discrete known variables, which are to be placed on the buses such that it reduces the losses of the distribution system to a minimum. Load sensitive factor (LSF) has been used to predict the most effective buses as the best place for installing compensator devices. IEEE 34-bus and 118-bus test distribution systems are utilized to validate and demonstrate the applicability of the proposed method. The simulation results obtained are compared with previous methods reported in the literature and found to be encouraging.

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