Application of Oppositional Runner Root Algorithm (ORRA) for Economic Optimization of Micro Grid

This study focuses on the sizing and optimization of a micro-grid with storage, which is destined to supply the load of an economic activity zone (EAZ) in Sidi Bouzid, Tunisia. To solve this problem, a genetic algorithm is established and programmed into MATLAB. The objective functions are considered by providing three minimums, namely Greenhouse Gas emissions (GHG), Life Cycle Cost (LCC) and Embodied Energy (EE), for three values of loss of power supply probability (LPSP) previously fixed. The sizing and optimization results are found and evaluated using a time series exchange of energy during a year to determine the optimal component size of a photovoltaic/wind/battery system (PV/WT/Bat). The simulation results show that the lowest ratio of LPSP values corresponds to the higher GHG, EE, LCC, photovoltaic panels area (APV), battery storage capacity (Cn), wind turbines area (AWT) and vice versa. This means that demanding higher energy reliability leads to higher energy cost and pollution. A comparative analysis was made, showing the cons and pros of each LPSP value in order to allow the owner of the plant to choose the most suitable PV/WT/Bat configuration.

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Analysis and research on optimal economic operation of cogeneration micro-grid based on heat pump control

Thermal Science ◽

10.2298/tsci2104871x ◽

2021 ◽

Vol 25 (4 Part B) ◽

pp. 2871-2879

Author(s):

Wei Xia

Keyword(s):

Objective Function ◽

Power Supply ◽

Large Scale ◽

Power Grids ◽

Economic Optimization ◽

Operating Characteristics ◽

Analytic Hierarchy ◽

Large Power ◽

Power Exchange ◽

Micro Grid

When the micro-grid is connected to the grid, the influence of the load and the micropower supply?s operating characteristics may cause the power exchange between the micro-grid and the large grid to cause unnecessary losses. The objective function of power supply satisfaction of large power grids. The article takes the co?generation micro-grid as the research object. It proposes establishing an objective function including the satisfaction of micro-grid decision-makers, the satisfaction of social benefits, and the satisfaction of large-scale power supply using the analytic hierarchy process. After that, the article uses the particle swarm optimization algorithm combined with the typical dispatching strategy of the micro-grid to solve the aforementioned model with MATLas the primary tool, and obtains the 24 hour output optimization results of the micro-grid, and analyzes the results in detail. The calculation examples show that the model can achieve economic optimization based on satisfying the satisfaction of different groups, which verifies the scientificity and effectiveness of the proposed model.

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Multi-objective economic optimization scheduling of CCHP micro-grid based on improved bee colony algorithm considering the selection of hybrid energy storage system

Energy Reports ◽

10.1016/j.egyr.2021.10.026 ◽

2021 ◽

Vol 7 ◽

pp. 326-341

Author(s):

JiaNan Shan ◽

RenXiang Lu

Keyword(s):

Storage System ◽

Energy Storage System ◽

Economic Optimization ◽

Hybrid Energy ◽

Hybrid Energy Storage ◽

Hybrid Energy Storage System ◽

Bee Colony ◽

Micro Grid ◽

Grid Based ◽

Selection Of

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Study on the Microgrid Pluripotent Complementary and Comprehensive Economic Optimization Planning Based on Virtual Energy Theory

E3S Web of Conferences ◽

10.1051/e3sconf/202018602003 ◽

2020 ◽

Vol 186 ◽

pp. 02003

Author(s):

Peng Zhang ◽

Na Liu ◽

Bo-yang Qu ◽

Jun-ming Xiao ◽

Man-man Lin

Keyword(s):

New Method ◽

Economic Optimization ◽

Planning Stage ◽

Conversion Model ◽

Economic Allocation ◽

Decision Making Factors ◽

Micro Grid ◽

Energy Theory ◽

Flexible Operation

In this paper, a comprehensive economic allocation method based on virtual energy theory for microgrid complementary power supply is proposed, which is successfully applied to the multi energy complementary planning and comprehensive economic planning of an island microgrid. In order to evaluate and optimize the microgrid in the planning stage more objectively based on the characteristics of various combinations of renewable micro generation and flexible operation modes, a new method of the micro-grid comprehensive economic configuration and optimization of the distributed generation is proposed based on virtual energy theory. Firstly, the Micro-grid model structure based on the virtual energy theory is given. Secondly, the virtual energy conversion model of different distributed power generations is also studied. The micro-grid pluripotent complementary and comprehensive economic optimization model (PCCEP) based on virtual energy theory are reached too. Combined with a practical example, a PCCEP method of the micro-grid based on the Homer software platform is discussed. The case study indicates that the method can avoid the uncertainty of the decision-making factors and the subjectivity of expert evaluation. It is shown that the new method is a practical solution for microgrid comprehensive economic optimization planning.

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