Multi-objective optimal capacity allocation of integrated energy system with co-evolution mechanism
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Xiaoou Liu
Abstract
With the deepening of multi-energy flow coupling and the diversification of energy utilization demand, integrated energy system (IES) puts forward higher requirements for the economy and reliability of capacity allocation scheme. However, there is a complex relationship between economy and reliability, which makes it difficult for them to achieve coordinated optimization. Therefore, an economic and reliability optimal capacity allocation method of IES based on improved co-evolution algorithm is proposed. Firstly, the timing scenario reduction method of “wind power-electrical load” based on ordered clustering algorithm and K-means clustering algorithm is proposed. Aiming at minimizing the expected annual cost of construction investment, operation and maintenance, carbon emission and energy purchase cost, and constrained by equipment operation and energy flow balance, a multi-scenario economic operation model is constructed. Considering the dissatisfaction degree of comprehensive energy consumption, the energy supply reliability evaluation model based on Markov chain Monte Carlo (MCMC) method is established. On this basis, the IES multi-objective optimal capacity allocation model is established. Further, based on the orthogonal test method, the influence factors of decision variables on IES economy and reliability are calculated, and the evolution subpopulation of economy and reliability is established, and then the optimization model’s solution method based on improved co-evolution algorithm is proposed. Finally, an example simulation analysis is carried out combined with the actual data of a certain region. The simulation results show that the proposed model can cooperatively improve the economy and reliability of IES capacity allocation scheme, and provide a reference for the optimal capacity allocation of equipment in IES.
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Author contributions: All the authors have accepted responsibility for the entire content of this submitted manuscript and approved submission.
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Research funding: None declared.
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Conflict of interest: The authors have no conflicts to disclose.
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Data availability: The data that support the findings of this study are available from the corresponding author upon reasonable request.
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Articles in the same Issue
- Frontmatter
- Review
- Offshore wind transmission in the United States. A collectivist culture versus Europe’s individualistic approach?
- Research Articles
- Electrical design analyses studies on ultra high voltage air insulated surge arresters
- An enhanced implementation of SRF and DDSRF-PLL for three-phase converters in weak grid
- Optimal design, techno-economic and sensitivity analysis of a grid-connected hybrid renewable energy system: a case study
- Adaptive power management algorithm for multi-source DC microgrid system
- Pre-and post-disturbance transient stability assessment using intelligent systems via quick estimating of the critical clearing time
- Thermal ageing performance evaluation of TUK and Nomex-910 papers in natural monoesters
- Oil temperature prediction of power transformers based on modified support vector regression machine
- Parameter optimization of PV integrated Shunt Active power filter with Taguchi SNR
- Seven level aligned multilevel inverter with new SPWM technique for PV, wind, battery-based hybrid standalone system
- Multi-objective optimal capacity allocation of integrated energy system with co-evolution mechanism
