MICROGRID DISPATCH OPTIMIZATION USING PSO ALGORITHM

MICROGRID DISPATCH OPTIMIZATION USING PSO ALGORITHM

Guerra, Leonardo de Carvalho; Silva, Alexandre Ribeiro da; Melo, Thamiles Rodrigues de; Pereira, Hernane Borges de Barros

Full article:

In this paper is proposed an algorithm to minimize the operation cost of a microgrid containing a photovoltaic and wind generation, a BESS, a connection to the main grid and loads that must be supplied. The objective function takes into account the operation and maintenance costs of the sources and the price of the energy exchanged with the grid, the daily price of liquidation (PLD). To solve the optimization problem the Particle Swarm Optimization (PSO) algorithm was used and the results are compared with a dummy algorithm where all the power available in the renewable resources (RES) are dispatched. The BESS is considered a backup energy and should not inject any power unless it’s necessary.

In this paper is proposed an algorithm to minimize the operation cost of a microgrid containing a photovoltaic and wind generation, a BESS, a connection to the main grid and loads that must be supplied. The objective function takes into account the operation and maintenance costs of the sources and the price of the energy exchanged with the grid, the daily price of liquidation (PLD). To solve the optimization problem the Particle Swarm Optimization (PSO) algorithm was used and the results are compared with a dummy algorithm where all the power available in the renewable resources (RES) are dispatched. The BESS is considered a backup energy and should not inject any power unless it’s necessary.

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DOI: 10.5151/siintec2023-306404

Referências bibliográficas

• [1] CAMMISECRA, A. The power grid in the era of distributed generation. 28 mar. 2023. Available at: . Accessed on: 31 Jul. 2023. KATIRAEI, Farid; IRAVANI, Mohammad Reza. Power management strategies for a microgrid with multiple distributed generation units. IEEE transactions on power systems, v. 21, n. 4, p. 1821-1831, 2006. LASSETER, Robert H.; PAIGI, Paolo. Microgrid: A conceptual solution. In: 2004 IEEE 35th annual power electronics specialists conference (IEEE Cat. No. 04CH37551). IEEE, 2004. p. 4285-4290. SENJYU, Tomonobu et al. Optimal distribution voltage control and coordination with distributed generation. IEEE Transactions on power delivery, v. 23, n. 2, p. 1236- 1242, 2008. CHEN, Yalin et al. The implementation of micro-grid economic dispatch based on particle swarm optimization. In: 2015 Chinese Automation Congress (CAC). IEEE, 2015. p. 1310-1315. CERQUEIRA, Sidney; SAAVEDRA, Osvaldo; LIMA, Shigeaki. Microgrid economic dispatch with storage systems by particle swarm optimization. In: XI Simposio Brasileiro de Automacao Inteligente. 2015. HOLMGREN, William F.; HANSEN, Clifford W.; MIKOFSKI, Mark A. pvlib python: A python package for modeling solar energy systems. Journal of Open Source Software, v. 3, n. 29, p. 884, 2018. ILICHEV, V. Y.; SHEVELEV, D. V. Calculation of wind turbine generator power characteristics using Windpowerlib software module. Izvestiya MGTU MAMI, v. 15, n. 1, p. 23-31, 2021. FAIMAN, David. Assessing the outdoor operating temperature of photovoltaic modules. Progress in Photovoltaics: Research and Applications, v. 16, n. 4, p. 307-315, 2008.

Como citar:

Guerra, Leonardo de Carvalho ; Silva, Alexandre Ribeiro da ; Melo, Thamiles Rodrigues de ; Pereira, Hernane Borges de Barros ; "MICROGRID DISPATCH OPTIMIZATION USING PSO ALGORITHM", p-525-532. In: . São Paulo: Blucher, 2023.
ISSN 23577592, DOI 10.5151/siintec2023-306404