Review on the cost optimization of microgrids via particle swarm optimization

Phommixay, Sengthavy; Doumbia, Mamadou Lamine; St-Pierre, David Lupien

doi:10.1007/s40095-019-00332-1

Cited by 86 publications

(35 citation statements)

References 125 publications

(105 reference statements)

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“…Real-time pricing (RTP) is one of the dynamic forms to shape the end-use load, and it monitors price in realtime. About the analysis of various DR programs in [12]. The most promising DR strategy is real time pricing.…”

Section: Dr Techniques In Dsmmentioning

confidence: 99%

Various demand side management techniques and its role in smart grid–the state of art

Muthuselvi

Balasubramanian²

2022

IJECE

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The current lifestyle of humanity relies heavily on energy consumption, thus rendering it an inevitable need. An ever-increasing demand for energy has resulted from the increasing population. Most of this demand is met by the traditional sources that continuously deplete and raise significant environmental issues. The existing power structure of developing nations is aging, unstable, and unfeasible, further prolonging the problem. The existing electricity grid is unstable, vulnerable to blackouts and disruption, has high transmission losses, low quality of power, insufficient electricity supply, and discourages distributed energy sources from being incorporated. Mitigating these problems requires a complete redesign of the system of power distribution. The modernization of the electric grid, i.e., the smart grid, is an emerging combination of different technologies designed to bring about the electrical power grid that is changing dramatically. Demand side management (DSM) allow customers to be more involved in contributors to the power systems to achieve system goals by scheduling their shiftable load. Effective DSM systems require the participation of customers in the system that can be done in a fair system. This paper focuses primarily on techniques of DSM and demand responses (DR), including scheduling approaches and strategies for optimal savings.

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Section: Dr Techniques In Dsmmentioning

confidence: 99%

Various demand side management techniques and its role in smart grid–the state of art

Muthuselvi

Balasubramanian²

2022

IJECE

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“…During each time interval, we check for any voltage deviations in the buses to define the operation mode. Based on the voltage deviations calculated using Equations (5) and (6), operations are divided into three modes:…”

Section: Ev Charging/discharging Restriction Constraintsmentioning

confidence: 99%

“…There have been various optimization approaches applied to microgrids; these include classic and artificial intelligence techniques, such as particle-swarm optimization (PSO) [6], genetic algorithms [7], or adaptive differential evolution algorithms [8]. In [7], the authors formulated an optimal power flow problem using a genetic algorithm to minimize the total operation cost of a DC microgrid while considering real-time pricing.…”

Section: Introductionmentioning

confidence: 99%

Optimal Control Strategy for Distributed Energy Resources in a DC Microgrid for Energy Cost Reduction and Voltage Regulation

Trinh

Chung

2021

Energies

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Distributed energy resources (DERs), including renewable energy resources (RESs) and electric vehicles (EVs), have a significant impact on distribution systems because they can cause bi-directional power flow in the distribution lines. Thus, the voltage regulation and thermal limits of the distribution system to mitigate from the excessive power generation or consumption should be considered. The focus of this study is on a control strategy for DERs in low-voltage DC microgrids to minimize the operating costs and maintain the distribution voltage within the normal range based on intelligent scheduling of the charging and discharging of EVs, and to take advantage of RESs such as photovoltaic (PV) plants. By considering the time-of-use electricity rates, we also propose a 24-h sliding window to mitigate uncertainties in loads and PV plants in which the output is time-varied and the EV arrival cannot be predicted. After obtaining a request from the EV owner, the proposed optimal DER control method satisfies the state-of-charge level for their next journey. We applied the voltage sensitivity factor obtained from a load-flow analysis to effectively maintain voltage profiles for the overall DC distribution system. The performance of the proposed optimal DER control method was evaluated with case studies and by comparison with conventional methods.

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“…Then, 64 MPLs were used to complete delivery tasks. Robustness is an important criterion for evaluating the performance of an optimization technique [49]. Therefore, we performed a series of numerical experiments to analyze the robustness of solutions.…”

Section: The Robustness Of Solutionsmentioning

confidence: 99%

Locating Movable Parcel Lockers under Stochastic Demands

Wang

Lai

et al. 2020

Symmetry

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The movable unit equipped with a set of lockers has been recently developed as a new mode to improve the efficiency of the last mile delivery. Locating a set of movable parcel locker units appropriately is a fundamental factor to promote the merits of movable parcel lockers. However, the difficulty in determining where to locate movable parcel locker units arises from the stochastic characteristics of demands. Therefore, we propose a robust optimization approach to determine the number of movable parcel locker units and their locations simultaneously with the aim to minimize the operating cost under stochastic demands and mobility restrictions. To reduce the complexity of the optimization model, the non-linear constraints have been transformed into the linear counterparts, resulting in an integer linear programming (ILP) model that can be solved by commercially available mathematical programming solvers. The results from the numerical examples indicate the proposed approach can obtain high robustness with a small extra cost within reasonable time. In addition, it is found that if each unit is equipped with more lockers, fewer movable parcel locker units are required to accommodate the demands with less operating cost, as the demand points can be clustered into a few intensive self-pickup sites.

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Review on the cost optimization of microgrids via particle swarm optimization

Cited by 86 publications

References 125 publications

Various demand side management techniques and its role in smart grid–the state of art

Various demand side management techniques and its role in smart grid–the state of art

Optimal Control Strategy for Distributed Energy Resources in a DC Microgrid for Energy Cost Reduction and Voltage Regulation

Locating Movable Parcel Lockers under Stochastic Demands

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