Optimal operation of wind-hydrothermal systems considering and uncertainty of wind

Tiến sĩPhan Văn ĐứcLy Huu Pham, Bach Hoang Dinh, Thang Trung Nguyen

Khoa Công Nghệ Ô Tô

Thể loại: Bài báo

Sơ lược nội dung

This paper proposes a High Performance Cuckoo Search Algorithm (HPCSA) for determining suitable operation parameters of the optimal wind-hydro-thermal system scheduling (OWHTSS) problem. The objective of the problem is to reach the lowest electricity generation cost of thermal power plants (TPPs) and wind power plants (WPPs) while exactly meeting all constraints of TPPs, WPPs and hydroelectric plants (HEPs). HPCSA is formed by applying improvements on the two main techniques of original Cuckoo Search Algorithm (CSA) to cover CSA’ drawbacks such as searching random solution spaces, always using two random solutions for getting a jumping step and suffering from slow convergence. HPCSA accompany with CSA, Adaptive CSA (ACSA), Snap-Drift CSA (SDCSA) and Water Cycle Algorithm (WCA) are run for solving four test systems in which the largest and complicated system is comprised of four TPPs, four HEPs and two WPPs with the uncertain wind feature. The result comparisons indicate that HPCSA is superior to applied and previous methods, and other modified versions of CSA in the literature in terms of better cost, higher stability, faster search ability and higher success rate. As a result, it leads to a conclusion that HPCSA is a strong metaheuristic algorithm for solving

Thông tin chung
Thể loại
Bài báo
Năm xuất bản
Thg12 2021
Ngôn ngữ gốc
Tiếng Anh
Tạp chí công bố
Alexandria Engineering Journal
Ấn phẩm số
Vol. 60 Issue 6
Loại tạp chí
Danh mục ISI/Scopus
1110-0168 / 2090-2670
Chất lượng

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