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Capacity Allocation of Renewable Energy Sources Considering Complementarity

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The outputs of renewable energy sources(RESs)are inherently variable and uncertain,such as wind power(WP)and photovoltaic(PV).However,the outputs of various types of RESs in different regions are complementary.If the capacity of RESs could be properly allocated during system planning,variability of the total output could be reduced.Consequently,system reliability and renewable energy(RE)consumption could be improved.This paper proposes an analytical model for optimal complementary capacity allocation of RESs to decrease variability of the total output.The model considers the capacity ratio of RESs as decision variables and the coefficient of variation(CV)of the total output as the objective function.The proposed approach transforms the single-level optimization model into a bilevel optimization model and derives an analytical equation that can directly calculate the optimal complementary capacity ratio(OCCR)of system RESs.Case studies on wind and solar farms in Xinjiang and Qinghai,China,are performed to verify the effectiveness of the proposed analytical allocation method.

Analytical equationcapacity allocationcomplementaryoptimizationrenewable energyvariability

Yinzhe Hu、Kaigui Xie、Bo Hu、Hengming Tai、Changzheng Shao、Chunyan Li、Xueying Yu

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State Key Laboratory of Power Transmission Equipment and System Security at the Chongqing University,Chongqing 400030,China

Department of Electrical and Computer Engineering,University of Tulsa,Tulsa,OK 74104,USA

International Cooperation and Exchange Program of the National Natural Science Foundation of ChinaNational Science Fund for Distinguished Young Scholars

5186114540651725701

2024

中国电机工程学会电力与能源系统学报(英文版)
中国电机工程学会

中国电机工程学会电力与能源系统学报(英文版)

CSTPCDEI
ISSN:2096-0042
年,卷(期):2024.10(4)