Integrated planning of generation-grid-load-storage for power systems with high penetration of renewable energy
LIU Yang
LIU Dawei
LIANG Feng
LI Chenguang
XIE Xiufeng
LIU Songyang
Abstract：With the advancement of the dual carbon goals,integrating high proportions of renewable energy into industrial park energy systems has become a prevailing trend.However,the randomness and volatility of renewable energy output pose significant challenges to the economic efficiency and operational reliability of such systems.This paper proposes an integrated configuration method for power generation,grid,load,and storage systems in industrial parks designed for high renewable energy penetration.By incorporating the"virtual energy storage"characteristics of thermal systems and multi-energy complementary mechanisms,a capacity planning model for industrial parks is established.This approach leverages the thermal inertia and transmission delay characteristics of heating networks to smooth electricity fluctuations,thereby reducing reliance on electrochemical energy storage.A multi-strategy enhanced Pied Kingfisher Optimizer is designed to enhance the solution capability for high-dimensional complex problems.Case simulation results demonstrate that the proposed method significantly reduces total system costs while improving source-load matching efficiency,validating its effectiveness in enhancing local consumption capacity and operational economics for renewable energy.
Keywords：source-grid-load-storage integrationvirtual energy storagethermal systemsmulti-objective optimizationPied Kingfisher Optimizer
Publication Date：2025-11-28
Online Publishing Date：2025-12-18(First online date of this platform, not the publication date of the document)
Pages：10( 112-121 )