A Probabilistic Optimal Power Flow in Wind-Thermal Coordination Considering Intermittency of the Wind

Sriparna Banerjee, Dhiman Banerjee, Provas Kumar Roy, Pradip Kumar Saha and Goutam Kumar Panda
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Sriparna Banerjee: Surendra Institute of Engineering and Management, India
Dhiman Banerjee: Surendra Institute of Engineering and Management, India
Provas Kumar Roy: Kalyani Government Engineering College, India
Pradip Kumar Saha: Jalpaiguri Goverrnment Engineeing College, India
Goutam Kumar Panda: Jalpaiguri Goverrnment Engineeing College, India

International Journal of Energy Optimization and Engineering (IJEOE), 2021, vol. 10, issue 1, 82-110

Abstract: This article specifically aims to prove the superiority of the proposed moth swarm algorithm (MSA) in view of wind-thermal coordination. In the present article, a probabilistic optimal power flow (POPF) problem is formulated to reflect the probabilistic nature of wind. Modelling of doubly fed induction generator (DFIG) is included in the proposed POPF to represent the wind energy conversion system (WECS). To reduce DFIG imposed deviation of bus voltage ancillary reactive power support is considered. Moreover, three different optimization techniques, namely, MSA, biogeography-based optimization (BBO), and particle swarm optimization (PSO) are independently applied for the minimization of active power generation cost for wind-thermal coordination, considering different instances in case of IEEE 30-bus and IEEE 118-bus system. From the simulation results, it is confirmed and validated that the proposed MSA performs considerably better than BBO and PSO.

Date: 2021
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Persistent link: https://EconPapers.repec.org/RePEc:igg:jeoe00:v:10:y:2021:i:1:p:82-110

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