Multi-Objective Probabilistic Power Resources Planning for Microgrids with Ancillary Services Capacity

Contreras, Sergio F.; Cortes, Camilo A.; Myrzik, J.M.A.

doi:10.23919/pscc.2018.8450878

Cited by 9 publications

(23 citation statements)

References 27 publications

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“…The set of DG technologies ðc [ gÞ is denoted by j. The DG models are defined based on [1] as: 1) Non-dispatchable DG: PV and WT technologies are modelled as non-dispatchable units due to their stochastic operation. Thus, the available active power is calculated with the probability density function (PDF) of the primary energies (wind speed and solar irradiation).…”

Section: Model Of Dispatchable and Non-dispatchable Unitsmentioning

confidence: 99%

“…Microgrids are active medium-and low-voltage distribution networks that can operate in either grid-connected or islanded modes by means of the operation of interconnected distributed energy resources and different loads [1,2]. In last decades, the concept of microgrid has drawn an special attention from academics and stakeholders in order to not only manage the transition from passive to active distribution networks but also improve the reliability, security, and efficiency of the main utility grids through the provision of ancillary services (AS) by the microgrids [3].…”

Section: Introductionmentioning

confidence: 99%

“…In [1], a probabilistic multi-objective microgrid planning (POMMP) methodology is proposed to find the optimal locations and capacities of distributed energy resources considering three objective functions: the minimization of the power mismatch in islanded mode; the maximization of the residual active power to be exported to the main network; and the minimization of the annual energy losses in grid-connected mode. In this case, the planning methodology focuses on the technical optimization of AS supplying instead of the economic issues, which is a shortcoming of the research.…”

Section: Introductionmentioning

confidence: 99%

“…This paper is the extension of the work in [1], and a POMMP methodology with technical and economical objective functions for the expansion or transformation of existing active or passive distribution networks under the concept of microgrids with AS capacity is proposed.…”

Section: Introductionmentioning

confidence: 99%

“…The POMMP methodology enhances the proposal in [1] by modifying both the microgrid's mathematical model and the planning optimization problem as well as including a decision-making strategy to select the optimal solution from the Pareto-front outcome. Thus, the main contributions of the paper are as follows.…”

Section: Introductionmentioning

confidence: 99%

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Optimal microgrid planning for enhancing ancillary service provision

Contreras

Cortes

Myrzik

2019

J. Mod. Power Syst. Clean Energy

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Microgrids have presented themselves as an effective concept to guarantee a reliable, efficient and sustainable electricity delivery during the current transition era from passive to active distribution networks. Moreover, microgrids could offer effective ancillary services (AS) to the power utility, although this will not be possible before the traditional planning and operation methodologies are updated. Hence, a probabilistic multi-objective microgrid planning (POMMP) methodology is proposed in this paper to contemplate the large number of variables, multiple objectives, and different constraints and uncertainties involved in the microgrid planning. The planning methodology is based on the optimal size and location of energy distributed resources with the goal of minimizing the mismatch power in islanded mode, while the residual power for AS provision and the investment and operation costs of the microgrid in grid-connected mode are maximized and minimized, respectively. For that purpose, probabilistic models and a true multi-objective optimization problem are implemented in the methodology. The methodology is tested in an adapted PG&E 69-bus distribution system and the non-dominated sorting genetic algorithm II (NSGA-II) optimization method and an analytic hierarchy process for decision-making are used to solve the optimization problem.

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Section: Model Of Dispatchable and Non-dispatchable Unitsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Optimal microgrid planning for enhancing ancillary service provision

Contreras

Cortes

Myrzik

2019

J. Mod. Power Syst. Clean Energy

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Microgrid Control Issues

Bordons

García-Torres²,

Ridao

2019

Model Predictive Control of Microgrids

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Microgrid‐based resilient distribution network planning for a new town

Mojtahedzadeh

Ravadanegh

Haghifam

2021

IET Renewable Power Gen

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Nowadays, the deployment of micro-grids (MGs) is one of the important trends in modern distribution network planning. Implementing this strategy aims to improve the ability of the distribution network to withstand extreme weather conditions and supplying critical loads. While the literature has focused chiefly on operating distribution systems and partitioning them into MGs, in this work, the idea of planning a new low voltage (LV) radial distribution system based on multi MGs for a greenfield is proposed. The main contribution is providing a framework to plan a resilient LV distribution system step by step for a new town without any operating grid. In the planning process, some MGs are formed and their service area and technical specifications like the number of MGs and their sizes are determined by a multi-objective optimization algorithm considering hardening and resiliency issues. The planning is done in a way that all predefined critical loads will be supplied. To consider the effects of extreme weather conditions, failure rates of poles and conductors due to thunderstorms are considered as a function of wind speed, and their appropriate models are used. The provided method is implemented in a test case with three major scenarios. Accordingly, planning in normal conditions considering hardening options and resilient network planning cases are evaluated. Simulation results and resiliency metrics are compared in detail.This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

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Multi-Objective Probabilistic Power Resources Planning for Microgrids with Ancillary Services Capacity

Cited by 9 publications

References 27 publications

Optimal microgrid planning for enhancing ancillary service provision

Optimal microgrid planning for enhancing ancillary service provision

Microgrid Control Issues

Microgrid‐based resilient distribution network planning for a new town

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