In the present paper, a novel meta-heuristic algorithm, namely quasi-oppositional search-based political optimizer (QOPO), is proposed to solve a non-convex single and bi-objective economic and emission load dispatch problem (EELDP). In the proposed QOPO technique, an opposite estimate candidate solution is performed simultaneously on each candidate solution of the political optimizer to find a better solution of EELDP. In the bi-objective EELDP, QOPSO is applied to simultaneously minimize fuel costs and emissions by considering various constraints such as the valve-point loading effect (VPLE) and generator limits for a generation. The effectiveness of the proposed QOPO technique has been applied on three units, six units, 10-units, 11-units, 13-units, and 40-unit systems by considering the VPLE, transmission line losses, and generator limits. The results obtained using the proposed QOPO are compared with those obtained by other techniques reported in the literature. The relative results divulge that the proposed QOPO technique has a good exploration and exploitation capability to determine the optimal global solution compared to the other methods provided in the literature without violation of any constraints and bounded limits.

Load flow analysis is an essential tool for the reliable planning and operation of interconnected power systems. The constant increase in power demand, apart from the increased intermittency in power generation due to renewable energy sources without proportionate augmentation in transmission system infrastructure, has driven the power systems to function nearer to their limits. Though the power flow (PF) solution may exist in such circumstances, the traditional Newton–Raphson based PF techniques may fail due to computational difficulties owing to the singularity of the Jacobian Matrix during critical conditions and faces difficulties in solving ill-conditioned systems. To address these problems and to assess the impact of large-scale photovoltaic generator (PVG) integration in power systems on power flow studies, a derivative-free quasi-oppositional heap-based optimization (HBO) (QOHBO) technique is proposed in the present paper. In the proposed approach, the concept of quasi-oppositional learning is applied to HBO to enhance the convergence speed. The efficacy and effectiveness of the proposed QOHBO-PF technique are verified by applying it to the standard IEEE and ill-conditioned systems. The robustness of the algorithm is validated under the maximum loadability limits and high R/X ratios, comparing the results with other well-known methods suggested in the literature. The results thus obtained show that the proposed QOHBO-PF technique has less computation time, further enhancement of reliability in the presence of PVG, and has the ability to provide multiple PF solutions that can be utilized for voltage stability analysis.

This paper aims to provide a comprehensive summary of the current research on the global wind energy systems, in particular to Wind Energy Conversion Systems (WECS) with Doubly Fed Induction Generator (DFIG). The analysis is based on the Scopus database from the year 2001 to 2024 and uses multiple methodologies for analysis. During this period, 3,196 documented research papers related to DFIG-based WECS systems were identified. Only one paper was published in 2002, while 324 papers were published in 2018. Among the 22 countries contributing to this field, China, India, and Morocco led with 340, 317, and 131 articles, respectively. However, India demonstrated the best quality of research, with only 9% of its 317 papers classified as low quality, while 97.2% of these papers were considered high quality. Team efforts are prevalent, accounting for 79.32% of the work. The most frequently used journals for publication are the Journal of Renewable Energy with 83 articles, IEEE Transactions on Industry Applications with 52 articles, and the International Journal of Electrical Power and Energy Systems with 50 articles. English was the most commonly used language, reported in 97% of the papers. As a result, this research points out new directions and stimulates further investigations into wind energy research analysis.

A key issue in the current generation’s distribution system is power quality due to the increased number of loads being connected to it. Because of the increasi A key issue in the current generation’s distribution system is power quality due to the increased number of loads being connected to it. Because of the increasi