An Optimized Framework for Energy Management of Multi-Microgrid Systems

This paper proposes a new framework for the planning of both distributed generators (DGs) and electric vehicle charging stations (EVCSs). The proposed method efficiently produces a unified solution for the joint planning of DGs and EVCSs for both gridconnected and islanded scenarios. The problem is formulated as a novel two-stage planning problem. The first stage determines the locations and sizes of the DGs with locations of EVCSs in grid-connected scenario, whereas the second stage planning identifies the optimal islands under the islanded microgrid scenario. A non-dominated sorting genetic algorithm (NSGA-II) is applied to solve the first stage planning problem; in this stage, the algorithm minimizes two objective functions: the system-losses and total cost. In the second stage, another single objective optimization problem is designed which minimizes supply voltage variations to find optimal islands for the DGs and EVCSs to ensure a secure supply of power for EVs. The proposed framework is implemented on the IEEE 33-bus system and verified with four test cases. The results demonstrate the effectiveness of the proposed method and show that the sizes and locations of DGs, and locations of EVCSs are adequate for both grid-connected and islanded microgrids.

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“…All loads are equally important in this problem. However, in future work, the load can be divided based on the sensitivity factor [26].…”

Section: Test System and Test Casesmentioning

confidence: 99%

An optimal joint planning of DGs and electric vehicle charging stations in grid‐connected and islanded microgrids

Zainab

Naz

Mehmood

et al. 2023

IET Renewable Power Gen

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“…The local optimization function in Equation ( 26) for minimizing the total operating cost of renewable energy production, while accounting for uncertainty grid constraints, is given as Equation (27), and Equation (28) was adapted from the work of [43]. These models will be developed in real time, with intra-hour dispatch intervals, while accounting for operating and security limitations following the guided model.…”

Section: Model Of Battery Charge Storagementioning

confidence: 99%

Economic Power Dispatch of a Grid-Tied Photovoltaic-Based Energy Management System: Co-Optimization Approach

Adenuga

Krishnamurthy

2023

Mathematics

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The requirement for the integration of power plants due to the cyclical rise in electrical energy consumption is due to the fluctuating load demand experienced with the current grid systems. This integration necessitates effectively allocating loads to the power plants for a minimum grid-tied transmission line cost, while meeting the network constraints. In this paper, we formulate an optimization problem of minimizing the total operational cost of all committed plants transmitted to the grid, while also meeting the network constraints and ensuring economic power dispatch (EPD) and energy management system co-optimization. The developed particle swarm optimization (PSO) method resolves the optimization problem using a piecewise quadratic function to describe the operational cost of the generation units, and the B coefficient approach is employed to estimate the transmission losses. Intelligent adjustments are made to the acceleration coefficients, and a brand-new algorithm is suggested for distributing the initial power values to the generation units. The developed economic power dispatch strategy successfully demonstrated an imperative cost reduction, with a connected load of 850 MW, 1263 MW, and 2630 MW of power demand, contrasted with previous PSO application cost values percentage, maximum yearly cost savings of (0.55%, 91.87), (46.55%, 3.78), and (73.86%, 89.10), respectively, and significant environmental benefits. The proposed co-optimization approach can significantly enhance the self-consumption ratio compared to the baseline method.

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“…Here, only the uncertainty of electricity production from PVs and wind power was modelled, and no use of hydrogen energy vector was foreseen. A two-step optimisation strategy for the energy management of an MG is presented in Naz et al [26]. The paper considered an MG system with similar MGs, only considering electricity as an energy vector.…”

Section: Literature Reviewmentioning

confidence: 99%

Planning and Operational Aspects of Individual and Clustered Multi-Energy Microgrid Options

2022

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With the restructuring of the power system, household-level end users are becoming more prominent participants by integrating renewable energy sources and smart devices and becoming flexible prosumers. The use of microgrids is a way of aggregating local end users into a single entity and catering for the consumption needs of shareholders. Various microgrid architectures are the result of the local energy community following different decarbonisation strategies and are frequently not optimised in terms of size, technology or other influential factors for energy systems. This paper discusses the operational and planning aspects of three different microgrid setups, looking at them as individual market participants within a local electricity market. This kind of implementation enables mutual trade between microgrids without additional charges, where they can provide flexibility and balance for one another. The developed models take into account multiple uncertainties arising from photovoltaic production, day-ahead electricity prices and electricity load. A total number of nine case studies and sensitivity analyses are presented, from daily operation to the annual planning perspective. The systematic study of different microgrid setups, operational principles/goals and cooperation mechanisms provides a clear understanding of operational and planning benefits: the electrification strategy of decarbonising microgrids outperforms gas and hydrogen technologies by a significant margin. The value of coupling different types of multi-energy microgrids, with the goal of joint market participation, was not proven to be better on a yearly level compared to the operation of same technology-type microgrids. Additional analyses focus on introducing distribution and transmission fees to an MG cooperation model and allow us to come to the conclusion of there being a minor impact on the overall operation.

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An Optimized Framework for Energy Management of Multi-Microgrid Systems

Cited by 9 publications

References 24 publications

An optimal joint planning of DGs and electric vehicle charging stations in grid‐connected and islanded microgrids

An optimal joint planning of DGs and electric vehicle charging stations in grid‐connected and islanded microgrids

Economic Power Dispatch of a Grid-Tied Photovoltaic-Based Energy Management System: Co-Optimization Approach

Planning and Operational Aspects of Individual and Clustered Multi-Energy Microgrid Options

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