Optimal probabilistic based storage planning in tap-changer equipped distribution network including PEVs, capacitor banks and WDGs: A case study for Iran

Ahmadian, Ali; Sedghi, Mahdi; Golkar, Masoud Aliakbar; Elkamel, Ali; Fowler, Michael

doi:10.1016/j.energy.2016.06.132

Cited by 45 publications

(31 citation statements)

References 22 publications

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“…In addition, the BSSs described in reference [25] operate on the basis of a fixed length of charge and discharge periods, which was later extended [26] for flexible charge and discharge periods, though still with a fixed length of charge-discharge cycles. It is noted that the work in reference [26] provides identical operation strategies for different BSSs, which was later improved [122,123] by determining optimal decision variables for each individual BSS, resulting in a more complex and larger optimization problem.…”

Section: X(t) = G(x(t) U(t) L(t) Y(t)) X(tmentioning

confidence: 99%

“…in a prediction horizon. Compared to other studies [25,26,122,123], this work determines fully flexible optimal operation strategies for BSSs, i.e., length of charge and discharge periods and length of charge-discharge cycles, and the number of cycles in the prediction horizon are decision variables to be optimized while considering the expended life costs of the batteries [219] in the objective function.…”

Section: Opf-based Rt-emssmentioning

confidence: 99%

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A Survey of Real-Time Optimal Power Flow

et al. 2018

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There has been a strong increase of penetration of renewable energies into power systems. However, the renewables pose new challenges for the operation of the networks. Particularly, wind power is intermittently fluctuating, and, therefore, the network operator has to fast update the operations correspondingly. This task should be performed by an online optimization. Therefore, real-time optimal power flow (RT-OPF) has become an attractive topic in recent years. This paper presents an overview of recent studies on RT-OPF under wind energy penetration, offering a critical review of the major advancements in RT-OPF. It describes the challenges in the realization of the RT-OPF and presents available approaches to address these challenges. The paper focuses on a number of topics which are reviewed in chronological order of appearance: offline energy management systems (EMSs) (deterministic and stochastic approaches) and real-time EMSs (constraint satisfaction-based and OPF-based methods). The particular challenges associated with the incorporation of battery storage systems in the networks are explored, and it is concluded that the current research on RT-OPF is not sufficient, and new solution approaches are needed.Energies 2018, 11, 3142 2 of 20 time. However, the incorporation of BSSs into the network leads to dynamic state operations and thus introduces dynamic model equations to the OPF, which makes the problem more complex to solve. This complexity is due to the fact that the dynamic optimization is described by differential/difference equations, whereas static optimization requires only algebraic equations [30].Another issue is that the REG rate is uncertain. It means their output cannot be forecasted accurately, and there may be discrepancies between the forecasted and actually realized values. The uncertainties can lead to constraint violations and thus safety problems if they are not handled properly. Therefore, deterministic OPF methods are not suitable for the real operation of the networks, or their solutions need further modifications before realization. Besides, owing to fast fluctuating REG, in particular wind power, the network operators need to fast update-i.e., in real-time-the operation strategies correspondingly, in order for the network to operate economically and in its feasible region. Therefore, the real-time energy management systems (RT-EMSs) have attracted increasing interest from many researchers. In this paper, we classify the RT-EMSs into two main categories: (1) constraint satisfaction-based RT-EMSs, and (2) OPF-based RT-EMSs. The former can satisfy the technical constraints of the network in real time, but the solutions may not be optimal. The latter provides optimal solutions in real time while satisfying the constraints. It is noted that the technical constraints could be different for these two categories, depending on the components of the network (details can be seen in Section 2).The remainder of the paper is organized as follows: Section 2 provides the general formulation of OPF...

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Section: X(t) = G(x(t) U(t) L(t) Y(t)) X(tmentioning

confidence: 99%

Section: Opf-based Rt-emssmentioning

confidence: 99%

A Survey of Real-Time Optimal Power Flow

et al. 2018

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“…2) Case 2 In Case 2, minimizing the diurnal operating costs of regional ADS from (18) and (19). Three different planning results are shown in Table 5.…”

Section: ) Power Output Characteristics Of Mgsmentioning

confidence: 99%

“…The roles are modeled as different costs and the penalty factor in the objective function. In [18], authors extend their work in [17] to take electric vehicles (EVs) into account. A point estimate method serves to tackle the uncertainties of load, REGs, and EVs.…”

Section: Introductionmentioning

confidence: 99%

“…Optimal planning of ESS has been previously studied in the literature of different fields, such as MGs [9][10][11], distribution networks [12][13][14][15][16][17][18], and large-scale power plants [19][20][21][22]. In terms of MGs, an optimal sizing method in [9] is proposed for the wind solar battery hybrid power system, considering two working modes of stand-alone and gridconnected.…”

Section: Introductionmentioning

confidence: 99%

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Optimal planning of energy storage system in active distribution system based on fuzzy multi-objective bi-level optimization

Wang

Chen

et al. 2017

J. Mod. Power Syst. Clean Energy

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A fuzzy multi-objective bi-level optimization problem is proposed to model the planning of energy storage system (ESS) in active distribution systems (ADS). The proposed model enables us to take into account how optimal operation strategy of ESS in the lower level can affect and be affected by the optimal allocation of ESS in the upper level. The power characteristic model of micro-grid (MG) and typical daily scenarios are established to take full consideration of time-variable nature of renewable energy generations (REGs) and load demand while easing the burden of computation. To solve the bi-level mixed integer problem, a multi-subgroup hierarchical chaos hybrid algorithm is introduced based on differential evolution (DE) and particle swarm optimization (PSO). The modified IEEE-33 bus benchmark distribution system is utilized to investigate the availability and effectiveness of the proposed model and the hybrid algorithm. Results indicate that the planning model gives an adequate consideration to the optimal operation and different roles of ESS, and has the advantages of objectiveness and reasonableness.

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Multi‐stage dynamic optimal allocation for battery energy storage system in distribution networks with photovoltaic system

Chen

Jiang

et al. 2020

Int Trans Electr Energ Syst

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In this article, a multi-stage optimal allocation method for battery energy storage system (BESS) in distribution networks with photovoltaic (PV) system is proposed, which is to obtain its optimal installation location, capacity, power, and investment time. This method takes the time value of money, the PV growth rate, and the load increase during the investment period into consideration. Firstly, genetic algorithm and gravity search algorithm are combined to solve a single-stage static optimal allocation problem and the BESS installation location and parameters in target year are obtained. Then, the obtained parameters are regarded as constraints and a heuristic multi-path forward dynamic programming method is used to determine the specific investment time of each equipment. Finally, a case study is used to verify the effectiveness and the

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Optimal probabilistic based storage planning in tap-changer equipped distribution network including PEVs, capacitor banks and WDGs: A case study for Iran

Cited by 45 publications

References 22 publications

A Survey of Real-Time Optimal Power Flow

A Survey of Real-Time Optimal Power Flow

Optimal planning of energy storage system in active distribution system based on fuzzy multi-objective bi-level optimization

Multi‐stage dynamic optimal allocation for battery energy storage system in distribution networks with photovoltaic system

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