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Multi-objective Capacity Estimation of Wind - Solar - Energy Storage in Power Grid Planning Consideration Policy Effect
  • +3
  • Jiajia Huan,
  • Xiaohui Zhang,
  • Yu-Ling He,
  • Kai Sun,
  • Zhicheng Han,
  • Haipeng Wang
Jiajia Huan
Guangdong Power Grid Corp
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Xiaohui Zhang
Guangdong Power Grid Corp Guangzhou, Guangdong, CN
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Yu-Ling He
North China Electric Power University - Baoding Campus

Corresponding Author:[email protected]

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Kai Sun
North China Electric Power University Department of Mechanical Engineering
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Zhicheng Han
North China Electric Power University - Baoding Campus
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Haipeng Wang
North China Electric Power University - Baoding Campus
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Abstract

In order to maximize the promotion effect of renewable energy policies, this paper proposes a capacity allocation optimization method of wind power generation, solar power and energy storage in power grid planning under different policy objectives. Firstly, based on the policy quantification, grey relation analysis is used to calculate the correlation degree of the policy indicators on the planning capacity of renewable energy. Further, a multi-objective capacity estimation model is comprehensively presented. Some highly correlated policy indicators are transformed into the special constraints. And the economy and the stability of the power grid are integrated as the objective function. Meanwhile, the carbon trading and punishment for wind power and solar power abandonment is considered. Finally, the proposed model is solved by NSGA-Ⅱ-PSO algorithm. The novelty of the algorithm is that the crossover operation of NSGA-Ⅱ is replaced by the position updating of particle swarm. The calculation result of the case study can effectively evaluate the optimal planning capacity of renewable energy under different policies, while ensure the economic and the stability of the power system. The paper can provide the reasonable basis and the valid analytical method for the policy formulation and the renewable energy development.
Submitted to IET Generation, Transmission & Distribution
19 Feb 2024Assigned to Editor
19 Feb 2024Submission Checks Completed
19 Feb 2024Review(s) Completed, Editorial Evaluation Pending
08 Mar 2024Reviewer(s) Assigned
16 Apr 20241st Revision Received
16 Apr 2024Submission Checks Completed
16 Apr 2024Assigned to Editor
19 Apr 2024Reviewer(s) Assigned
28 Apr 2024Review(s) Completed, Editorial Evaluation Pending
28 Apr 2024Editorial Decision: Accept