RETRACTED: Two-stage intelligent planning with improved artificial bee colony algorithm for a microgrid by considering the uncertainty of renewable sources

Saeed, Muhammad Hammad; Fangzong, Wang; Salem, Sultan; Khan, Yousaf Ali; Kalwar, Basheer Ahmed; Fars, Ashk

doi:10.1016/j.egyr.2021.10.123

Cited by 20 publications

(3 citation statements)

References 21 publications

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“…Considering P2G and CCHP equipment, Nazir et al [20] proposed an optimal scheduling method for microgrids based on a hybrid gravitational search algorithm with the goal of minimizing operation cost and environmental pollution. Saeed et al [21] used P2G equipment as a multi-directional energy conversion carrier and proposed a two-stage optimal scheduling method for microgrids with P2G equipment based on an improved artificial bee colony algorithm. Qin et al [22] constructed a robust optimization model of an electrical integration system, including P2G equipment, and obtained an economically optimal scheduling scheme under the most unfavorable scenario by improved genetic algorithm optimization.…”

Section: Literature Reviewmentioning

confidence: 99%

Microgrid Operation Optimization Method Considering Power-to-Gas Equipment: An Improved Gazelle Optimization Algorithm

Wu,

Wen

et al. 2024

Symmetry

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With the increasingly prominent defects of traditional fossil energy, large-scale renewable energy access to power grids has become a trend. In this study, a microgrid operation optimization method, including power-to-gas equipment and a hybrid energy storage system, is proposed. Firstly, this study constructs a microgrid system structure including P2G equipment and a hybrid energy storage system of electricity and hydrogen. Secondly, aiming at minimizing the system operation cost and carbon emission penalty cost, a low-carbon economic operation optimization model of the proposed microgrid is established. Then, this study proposes a microgrid optimization method based on an improved gazelle optimization algorithm to symmetrically improve economic and environmental performance. Finally, the practicability and superiority of the above model and optimization method are verified using a real microgrid case. The results show that considering the participation of P2G equipment and a hybrid energy storage system in the optimal operation, the carbon emission of the microgrid is reduced to 33.56% of the microgrid considering only a single electric energy storage system, and the comprehensive operation cost is reduced by 6.54%. This study is conducive to promoting the development of clean energy and symmetrically enhancing the economic and environmental performance of the microgrid.

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Section: Literature Reviewmentioning

confidence: 99%

Microgrid Operation Optimization Method Considering Power-to-Gas Equipment: An Improved Gazelle Optimization Algorithm

Wu,

Wen

et al. 2024

Symmetry

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“…Furthermore, they enable the formulation of appropriate load scheduling strategies to ensure the reliability and stability of power supply. Currently, many experts have applied swarm intelligence algorithms to the operational planning issues of microgrids, such as particle swarm optimization, genetic algorithms [14], artificial bee colony algorithms [15], whale optimization algorithms [16], among others, and have proposed several effective electricity pricing strategies to reduce the operational costs of microgrids.…”

Section: Introductionmentioning

confidence: 99%

Application of improved Wolf pack algorithm in planning and operation of multi-microgrid systems with electric vehicles

Sun,

Zhang,

Yang

et al. 2024

Meas. Sci. Technol.

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With the rapid growth of renewable energy sources and the widespread use of electric vehicles (EVs), the planning and operation problems of multiple microgrids (MMGs) have become more complex and diverse. This paper develop an MMG model with multiple renewable energy sources and small-scale EVs, aiming to maximize the use of renewable energy sources and realize the charging demand of EVs, and highlighting the potential role of EVs in MMGs. In addition, the paper underscores the indispensable role of measurement technology in microgrids and the impetus that microgrid development provides for advancements in measurement technology. To this end, this paper proposes an improved Wolf pack algorithm (IWPA) based on the standard Wolf Pack Algorithm (WPA) with a spiral search approach and chaotic updating of individuals to improve the global search capability of the algorithm and the complexity of solving the scheduling problem. Through simulation experiments on ten standard test functions and examples, it is verified that the IWPA algorithm improves the search accuracy by 2.8%–6.8% and 13.9%–18.3% in the worst and best cases, respectively, in comparison with other algorithms, and it also has a faster convergence speed. Meanwhile, this paper proposes a load interval pricing strategy for the shortcomings of time-of-use pricing strategy and traditional real-time pricing strategy, which is simulated under grid-connected operation, isolated grid operation, and multi-microgrid cooperative operation modes, and the simulation results of the arithmetic example show that this strategy can effectively reduce carbon emissions, and IWPA can effectively coordinate renewable energy, EVs, and other energy resources to achieve efficient energy management of MMGs and supply-demand balance.

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“…The remote islanded MGs operate in the event of a power grid breakdown to ensure the power supply of important loads (Mhankale & Thorat, 2018;Liu et al, 2021;Dashtdar et al 2022;. Economy, reliability, and energy-saving are three characteristics that must be considered in the operation of islanded-operated microgrid systems (Saeed et al, 2021b;Recalde et al, 2020;Xu et al, 2020;Pothireddy et al, 2022). With the continuous development of microgrid control technologies, MGs have achieved safe and stable operation, and their reliability has been greatly guaranteed .…”

Section: Introductionmentioning

confidence: 99%

Demand response based microgrid's economic dispatch

Saeed,

Rana,

Kausaraahmed

et al. 2023

Int. J. Renew. Energy Dev.

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The development of energy management tools for next-generation Distributed Energy Resources (DER) based power plants, such as photovoltaic, energy storage units, and wind, helps power systems be more flexible. Microgrids are entities that coordinate DERs in a persistently more decentralized fashion, hence decreasing the operational burden on the main grid and permitting them to give their full benefits. A new power framework has emerged due to the integration of DERs-based microgrids into the conventional power system. With the rapid advancement of microgrid technology, more emphasis has been placed on maintaining the microgrids' long-term economic feasibility while ensuring security and stability. The objective of this research is to provide a multi-objective economic operation technique for microgrids containing air-conditioning clusters (ACC) taking demand response into account. A dynamic price mechanism is proposed, accurately reflecting the system's actual operational status. For economic dispatch, flexible loads and air conditioners are considered demand response resources. Then, a consumer-profit model and an AC operating cost model are developed, with a set of pragmatic constraints of consumer comfort. The generation model is then designed to reduce the generation cost. Finally, a microgrid simulation platform is developed in MATLAB/Simulink, and a case is designed to evaluate the proposed method's performance. The findings show that consumer profit increases by 69.2% while ACC operational costs decrease by 18.2%. Moreover, generation costs are reduced without sacrificing customer satisfaction.

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RETRACTED: Two-stage intelligent planning with improved artificial bee colony algorithm for a microgrid by considering the uncertainty of renewable sources

Cited by 20 publications

References 21 publications

Microgrid Operation Optimization Method Considering Power-to-Gas Equipment: An Improved Gazelle Optimization Algorithm

Microgrid Operation Optimization Method Considering Power-to-Gas Equipment: An Improved Gazelle Optimization Algorithm

Application of improved Wolf pack algorithm in planning and operation of multi-microgrid systems with electric vehicles

Demand response based microgrid's economic dispatch

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