A Non-Convex Economic Dispatch Problem with Point-Valve Effect Using a Wind-Driven Optimisation Approach

This study presents the efficiency of the wind-driven optimisation (WDO) approach in solving non-convex economic dispatch problems with point-valve effect. The best economic dispatch for a power system is one wherein the system can generate energy at a low cost. The calculation of the generating cos...

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書目詳細資料
發表在:Journal of Electrical Engineering and Technology
主要作者: 2-s2.0-85112111643
格式: Article
語言:English
出版: Korean Institute of Electrical Engineers 2022
在線閱讀:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85112111643&doi=10.1007%2fs42835-021-00859-6&partnerID=40&md5=30a513221c0e295dcc43efc7edaf734c
實物特徵
總結:This study presents the efficiency of the wind-driven optimisation (WDO) approach in solving non-convex economic dispatch problems with point-valve effect. The best economic dispatch for a power system is one wherein the system can generate energy at a low cost. The calculation of the generating cost is subject to a number of constraints, such as the power demand for the entire system and the generation limit for each generator unit in the system. In addition, the system should also produce low power loss. The WDO optimisation technique is developed based on the concept of natural wind movement, which serves as a stabiliser to equalise the inequality of air pressure in the atmosphere. One major advantage of WDO over other techniques is its search accuracy. The proposed algorithm has been implemented in two systems, namely, the 10-generator and 40-generator systems. Both systems were tested in a Matlab environment. To highlight the capabilities of WDO, the results using this proposed technique are compared with the results obtained using flower pollination algorithm, moth flame optimisation, particle swarm optimisation and evolutionary programming techniques to determine the efficiency of the proposed approach in solving economic dispatch. The simulation results show the capability of WDO in determining the optimal power generation value with minimum generation cost and low rate of power loss. © 2021, The Korean Institute of Electrical Engineers.
ISSN:19750102
DOI:10.1007/s42835-021-00859-6