DOI: https://doi.org/10.61435/ijred.2026.62631

Integrated Rural Energy System Planning Based on POA and Stage Division under the Background of Economic Development

Student Affairs Department, Nanyang Institute of Technology, Nanyang, 47300, China, China

Received: 16 Apr 2026; Published: 10 Aug 2026.
Editor(s): H Hadiyanto
Open Access Copyright (c) 2025 The Author(s). Published by Centre of Biomass and Renewable Energy (CBIORE)
Creative Commons License This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

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Abstract

To address the dynamic, multi-objective, and phased challenges in integrated rural energy system planning under economic development, this study proposes a dynamic planning framework that integrates macroeconomic stage division with an improved multi-objective Pelican optimization algorithm. The algorithm is enhanced using Sobol sequence initialization and an adaptive dynamic factor mechanism, and a two-stage stochastic programming model is developed to minimize the equivalent annual total cost and maximize annual net carbon emission reduction (CER). A case study of a typical rural area in northern China demonstrates that the proposed method outperforms comparative algorithms in convergence and solution distribution, achieving a Pareto distribution index of 0.082. The optimal plan reduces annual system cost to 14.856 million yuan and increases annual CER to 634.2 tons, with an energy efficiency of 76.8%. Overall, the framework effectively supports low-carbon and economical rural energy system planning aligned with regional development stages.

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Section: Original Research Article
Language : EN
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