An efficient scenario-based stochastic programming framework for multi-objective optimal micro-grid operation

Niknam, Taher; Azizipanah‐Abarghooee, Rasoul; Narimani, Mohammad Rasoul

doi:10.1016/j.apenergy.2012.04.017

Cited by 369 publications

(208 citation statements)

References 32 publications

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“…We highlight that various topologies of EI (e.g., series-shaped, annular-shaped, star-shaped, etc.) can be formulated into mathematical systems in the form of Equation (17). Hence, the investigation to series-shaped EI and the obtained results can be extended and applied into generalized EI scenarios.…”

Section: Linearized Block Diagrammentioning

confidence: 99%

“…As is mentioned above, some existing works only investigate either optimization of operation cost and energy management (e.g., [16][17][18][19][20]), or robustness against internal instability and external disturbances (e.g., [21][22][23][24]) of MG systems. In this paper, this is the very first time that both two aspects are considered simultaneously in the field of EI, rather than in conventional energy systems.…”

Section: Introductionmentioning

confidence: 99%

“…For example, coordinated optimal control algorithm for smart distribution management system in multiple MGs is investigated in [16]. Applying a multi-objective stochastic optimization approach to solve the optimal energy management issues in MGs has been reported in [17]. To achieve an optimized operation of an off-grid MG, nonlinear droop relations are implemented in [18].…”

Section: Introductionmentioning

confidence: 99%

“…For different optimal control problems mentioned in e.g., [16][17][18][19][20], a variety of optimization targets are considered to formulate the H 2 performance. For robust control problems discussed in e.g., [21][22][23][24], H ∞ performance has been focused.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

A Class of Control Strategies for Energy Internet Considering System Robustness and Operation Cost Optimization

Hao

Qin

et al. 2018

Energies

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Aiming at restructuring the conventional energy delivery infrastructure, the concept of energy Internet (EI) has become popular in recent years. Outstanding benefits from an EI include openness, robustness and reliability. Most of the existing literatures focus on the conceptual design of EI and are lack of theoretical investigation on developing specific control strategies for the operation of EI. In this paper, a class of control strategies for EI considering system robustness and operation cost optimization is investigated. Focusing on the EI system robustness issue, system parameter uncertainty, external disturbance and tracking error are taken into consideration, and we formulate such robust control issue as a structure specified mixed H 2 /H ∞ control problem. When formulating the operation cost optimization problem, three aspects are considered: realizing the bottom-up energy management principle, reducing the cost involved by power delivery from power grid (PG) to microgrid (MG), and avoiding the situation of over-control. We highlight that this is the very first time that the above targets are considered simultaneously in the field of EI. The integrated control issue is considered in frequency domain and is solved by a particle swarm optimization (PSO) algorithm. Simulation results show that our proposed method achieves the targets.

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Section: Linearized Block Diagrammentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

A Class of Control Strategies for Energy Internet Considering System Robustness and Operation Cost Optimization

Hao

Qin

et al. 2018

Energies

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“…[14] or operating cost, pollutants emissions, the ES systems management [15]; (ii) maximize the profit [16]. Even approaches based on Pareto-optimality have been proposed: minimize end user energy bill and stability of the system [17] or minimize the operating cost and pollutants emissions [18].…”

Section: Introductionmentioning

confidence: 99%

The Optimization of Microgrids Operation through a Heuristic Energy Management Algorithm

Tomoiagă

Chindris

Sumper

et al. 2013

AEF

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Abstract. The concept of microgrid was first introduced in 2001 as a solution for reliable integration of distributed generation and for harnessing their multiple advantages. Specific control and energy management systems must be designed for the microgrid operation in order to ensure reliable, secure and economical operation; either in grid-connected or stand-alone operating mode. The problem of energy management in microgrids consists of finding the optimal or near optimal unit commitment and dispatch of the available sources and energy storage systems so that certain selected criteria are achieved. In most cases, energy management problem do not satisfy the Bellman's principle of optimality because of the energy storage systems. Consequently, in this paper, an original fast heuristic algorithm for the energy management on stand-alone microgrids, which avoids wastage of the existing renewable potential at each time interval, is presented. A typical test microgrid has been analysed in order to demonstrate the accuracy and the promptness of the proposed algorithm. The obtained cost of energy is low (the quality of the solution is high), the primary adjustment reserve is correspondingly assured by the energy storage system and the execution runtime is very short (a fast algorithm). Furthermore, the proposed algorithm can be used for real-time energy management systems.

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Generalized stochastic Petri nets for uncertain renewable‐based hybrid generation and load in a microgrid system

Jana

Chakraborty

2019

Int Trans Electr Energ Syst

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Multiple strategy‐based microgrid systems, consisting of several renewable energy sources (RES) with distributed storages are becoming well accepted in the context of smart grid framework. While such kind of microgrid seems to be pivotal in future energy structure, they impose numerous setbacks in the power network due to stochastic variability of distributed generations and uncertainties in load. In this paper, it has been emphasized on major challenges of microgrid for secure, automated, and competent operation. To deal with such kind of encounters, the smart modeling of microgrid assets refer to propose an efficient stochastic scaffold of using Petri nets (PNs). PNs are comprehensively used to demonstrate and investigate industrial systems activities under both discrete and continuous‐time occurrence. Hence, time‐based PNs develop more reliable option for grid penetration strategies in the realm of uncertain function for loads and RES‐integrated microgrid. This work intends to uphold such microgrid model that features unpredictability in distributed energy resources and load. The proposed model using PNs produces effective results that are described as in the category of parallel computing. With the awareness of economic green energy platform, a two‐stage microgrid model has been designed using generalized stochastic PNs (GSPN). In the first phase, scenario generations have been configured for each uncertain variable, and then modified real‐coded genetic algorithm (MRCGA) is utilized to resolve each deterministic dilemma populated from first phase. In order to replicate deliverable attributes of microgrid, reachability graph is stimulated also by useful marking to examine the complete system.

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An efficient scenario-based stochastic programming framework for multi-objective optimal micro-grid operation

Cited by 369 publications

References 32 publications

A Class of Control Strategies for Energy Internet Considering System Robustness and Operation Cost Optimization

A Class of Control Strategies for Energy Internet Considering System Robustness and Operation Cost Optimization

The Optimization of Microgrids Operation through a Heuristic Energy Management Algorithm

Generalized stochastic Petri nets for uncertain renewable‐based hybrid generation and load in a microgrid system

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