Optimal AGC scheme design using hybrid particle swarm optimisation and gravitational search algorithm
| Autor: | Mohamed Boudour, Mohamed Menaa, Nour El Yakine Kouba, Mourad Hasni |
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| Rok vydání: | 2019 |
| Předmět: | |
| Zdroj: | International Journal of Power and Energy Conversion. 10:241 |
| ISSN: | 1757-1162 1757-1154 |
| DOI: | 10.1504/ijpec.2019.098622 |
| Popis: | In this paper, a novel hybrid particle swarm optimisation and gravitational search algorithm (HPSO-GSA) is proposed to design an optimal automatic generation control (AGC) scheme in interconnected power system. The proposed algorithm combines the advantages of both particle swarm optimisation (PSO) and gravitational search algorithm (GSA). This new meta-heuristic HPSO-GSA is applied to achieve the optimal proportional-integral-derivative (PID) controller parameters. Hence, the optimal PID controller is used to reduce the system fluctuations with the best dynamic performances. The AGC issue is formulated as an optimal load frequency control problem, where the frequency fluctuations and the tie-line power flow deviations are to be minimised in the same time. In order to test the performance of the proposed HPSO-GSA strategy, the integral time multiplied by absolute error (ITAE) is used as an objective function. To evaluate the efficiency of the proposed approach over disturbances, the standard two-area power system is used for the simulation. The obtained simulation results are compared to those yielded using classical and heuristic optimisation techniques surfaced in the recent state-of-the-art literature. The comparative study demonstrates the potential of the proposed strategy and shows its robustness to solve the optimal AGC problem. |
| Databáze: | OpenAIRE |
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