Uncertainty modeling methods for risk-averse planning and operation of stand-alone renewable energy-based microgrids

Bakhtiari, Hamed; Alvarez, Manuel

doi:10.1016/j.renene.2022.09.040

Cited by 10 publications

(2 citation statements)

References 44 publications

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“…Microgrid expansion planning techniques are based on uncertainty modeling [162]. For this purpose, a probabilistic power flow calculated using the Monte Carlo method is determined, which requires considerable computational power [163].…”

Section: Methods For Microgrid Expansion Planningmentioning

confidence: 99%

Approaches to Building AC and AC–DC Microgrids on Top of Existing Passive Distribution Networks

et al. 2023

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The process of building microgrids on top of existing passive distribution networks warrants a multi-criteria analysis. Besides the calculation of the investment outlays needed for the modernization of distribution networks, such an analysis covers an assessment of the technological and economic effects of building microgrids. The resulting effects depend on the topology and configuration of distribution networks, specific microgrid features, the choice of the current type for the entire microgrid or its individual parts, the methods of connecting distributed energy resources (DERs), the availability and maturity of information and communications technology (ICT) infrastructure, and other factors. Comprehensive input data allow for designing an optimal microgrid configuration, but the main technological and economic effects are determined by the algorithms of operation and the parameter settings of the automatic control system (ACS) and the protection system. The known approaches to designing microgrids focus on addressing basic tasks while minimizing the investment required for their implementation. The above is fully justified when constructing new microgrids, but building microgrids on top of existing distribution networks, given the uniqueness of their topology and configuration, does not allow the use of standardized solutions. The development of approaches to the design of microgrids under such constraints, with minimized investment in the modernization of existing distribution networks, is an urgent task. The use of different types of current for individual microgrid segments determines the choice of the particular ACS and protection system, which depends on the availability of information and communications technology infrastructure. This article contributes a review of approaches to designing AC and AC–DC microgrids so as to maximize their technological and economic effects. We review techniques for analyzing the existing distribution networks aimed at choosing the type of current for the entire microgrid or its individual parts, the optimal points for the connection of microgrids to distribution networks, and the mix and capacity of DERs, with such choices informed by the conditions of the switching devices and information and communications technology infrastructure. This article presents the results of the analysis of approaches to choosing the optimal configuration of microgrids, microgrid ACS, and protection system, with an evaluation of the technological and economic effects subject to the minimization of investment in the modernization of the existing distribution networks.

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Section: Methods For Microgrid Expansion Planningmentioning

confidence: 99%

Approaches to Building AC and AC–DC Microgrids on Top of Existing Passive Distribution Networks

et al. 2023

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“…In the process of expressway use, the interruption of power supply to Level I and II loads will cause great economic losses, affect the normal work of important units, or even cause personal injury. Thus, this paper makes the following constraints on the shedding amount of Level I and II loads [41].…”

Section: Loss Of Power Supply Probability Constraints (Lpsp)mentioning

confidence: 99%

Configuration Planning of Expressway Self-Consistent Energy System Based on Multi-Objective Chance-Constrained Programming

Huang

et al. 2023

Sustainability

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Regarding the problem of the optimal configuration of self-consistent energy systems based on a 100% renewable energy supply for expressway electricity demand in no-grid areas, this paper proposes a multi-objective planning model based on chance-constrained programming (CCP) to achieve the optimization objectives of low cost and high reliability. Firstly, the number of units of different types of wind turbines (WT), the capacity of photovoltaic (PV) cells, and the number of sets of energy storage systems (ESS) are selected for the design variables in our configuration plan. After defining the load grading shedding and ESS scheduling strategy, the Monte Carlo Simulation (MCS) method and the backward reduction method are applied to model the uncertainties of electric load and renewable energy sources. Finally, the set of Pareto solutions are optimized by the non-dominated sorted genetic algorithm-II (NSGA-II) and its unique best solution is determined by the Criteria Importance Though Intercriteria Correlation (CRITIC) and the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) approach. Making use of the wind speed and solar radiation intensity historical data of an area in northwest China in the last five years, eight case studies of two typical scenarios are designed and carried out to explore in-depth the impact of different confidence levels and load fluctuation ranges on the planning results. The results verify that the proposed method can effectively improve the robustness of the system and satisfy the power demand in confidence scenarios.

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Optimal design and sizing of renewable energies in microgrids based on financial considerations a case study of Biskra, Algeria

Chebabhi

Tégani

Benhamadouche

et al. 2023

Energy Conversion and Management

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Uncertainty modeling methods for risk-averse planning and operation of stand-alone renewable energy-based microgrids

Cited by 10 publications

References 44 publications

Approaches to Building AC and AC–DC Microgrids on Top of Existing Passive Distribution Networks

Approaches to Building AC and AC–DC Microgrids on Top of Existing Passive Distribution Networks

Configuration Planning of Expressway Self-Consistent Energy System Based on Multi-Objective Chance-Constrained Programming

Optimal design and sizing of renewable energies in microgrids based on financial considerations a case study of Biskra, Algeria

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