{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,18]],"date-time":"2026-03-18T00:31:42Z","timestamp":1773793902846,"version":"3.50.1"},"reference-count":21,"publisher":"Wiley","issue":"1","license":[{"start":{"date-parts":[[2025,12,18]],"date-time":"2025-12-18T00:00:00Z","timestamp":1766016000000},"content-version":"vor","delay-in-days":351,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"},{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/doi.wiley.com\/10.1002\/tdm_license_1.1"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Journal of Electrical and Computer Engineering"],"published-print":{"date-parts":[[2025,1]]},"abstract":"<jats:p>The randomness of power grid has been greatly increased as the new energy power proportion increases due to the uncertainty of wind turbine (WT) and photovoltaic (PV) power, posing significant challenges to grid security and economic efficiency. In this paper, the typical\u2010day WT and PV power outputs were obtained by the Latin hypercube sampling method. A multiobjective dual\u2010layer optimization model has the goal of reducing network loss and voltage deviation. The Whale Optimization Algorithm (WOA) was employed to solve the model. Based on the optimization results, the dispatch schemes for reactive power compensation devices, energy storage systems, and on\u2010load voltage regulation devices are formulated to improve system stability and smooth the output fluctuations of new energy sources. Finally, the proposed method is verified in the improved AC\/DC hybrid grid based on IEEE 39\u2010notes system. The results indicated that the method can effectively reduce the network loss and smooth voltage fluctuations. It provides a theoretical basis for the stable and economical of grids with a high proportion of new energy power.<\/jats:p>","DOI":"10.1155\/jece\/5569959","type":"journal-article","created":{"date-parts":[[2025,12,18]],"date-time":"2025-12-18T16:32:07Z","timestamp":1766075527000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Optimization and Stability Research of Control Strategies for Multienergy Complementary AC\u2013DC Hybrid Power Grids"],"prefix":"10.1155","volume":"2025","author":[{"ORCID":"https:\/\/orcid.org\/0009-0005-6909-8872","authenticated-orcid":false,"given":"Hao","family":"Junfang","sequence":"first","affiliation":[]},{"given":"Wu","family":"Qingfan","sequence":"additional","affiliation":[]},{"given":"Cui","family":"Chen","sequence":"additional","affiliation":[]},{"given":"Yang","family":"Chengfei","sequence":"additional","affiliation":[]},{"given":"Wu","family":"Jinbo","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0009-0003-0882-6712","authenticated-orcid":false,"given":"Yang","family":"Jie","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7169-1564","authenticated-orcid":false,"given":"Zhao","family":"Xiaohe","sequence":"additional","affiliation":[]}],"member":"311","published-online":{"date-parts":[[2025,12,18]]},"reference":[{"key":"e_1_2_11_1_2","first-page":"55","article-title":"Collaborative Optimization Operation of Power Systems With High Proportion of Renewable Energy Considering Uncertainty of Generation and Load","volume":"39","author":"Liu M.","year":"2018","journal-title":"Electric Power Construction"},{"key":"e_1_2_11_2_2","doi-asserted-by":"publisher","DOI":"10.1109\/tste.2017.2762364"},{"key":"e_1_2_11_3_2","first-page":"2654","article-title":"A Wind Power\/Photovoltaic Typical Scenario Set Generation Algorithm Based on Wasserstein Distance Metric and Revised K-Medoids Cluster","volume":"35","author":"Wang Q.","year":"2015","journal-title":"Proceedings of the CSEE"},{"key":"e_1_2_11_4_2","doi-asserted-by":"publisher","DOI":"10.1115\/1.2930078"},{"key":"e_1_2_11_5_2","first-page":"514","article-title":"Probabilistic Optimal Reactive Power Dispatch of Power Grid With Large-Scale Wind Farm Integration","volume":"41","author":"Yin Q.","year":"2017","journal-title":"Power System Technology"},{"key":"e_1_2_11_6_2","article-title":"Reactive Power Optimization of Power System Based on Particle Swarm Optimization Algorithm","author":"Liu Z.","year":"2023","journal-title":"Highlights in Science, Engineering and Technology"},{"key":"e_1_2_11_7_2","doi-asserted-by":"publisher","DOI":"10.1002\/adc2.157"},{"key":"e_1_2_11_8_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.compeleceng.2018.01.023"},{"key":"e_1_2_11_9_2","doi-asserted-by":"publisher","DOI":"10.1002\/ese3.1902"},{"key":"e_1_2_11_10_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.advengsoft.2016.01.008"},{"key":"e_1_2_11_11_2","article-title":"The Difficulties and Improvements of the Genetic Algorithm Utilization in the Power Grid Planning","author":"Yi-Lei G. 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