State-Of-The-Art in Microgrid-Integrated Distributed Energy Storage Sizing

Alsaidan, Ibrahim; Alanazi, Abdulaziz; Gao, Wenzhong; Wu, Hongyu; Khodaei, Amin

doi:10.3390/en10091421

Cited by 40 publications

(19 citation statements)

References 35 publications

(79 reference statements)

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“…Generally, the BS sizing problem for microgrids can be formulated as an investment decision problem combined with an energy management optimization problem [9][10][11][12]. For instance, reference [13] implements the mixed integer linear programming (MILP) method to optimize the BS capacity of microgrids with the reliability criterion being considered.…”

Section: Introductionmentioning

confidence: 99%

A Computationally Efficient Optimization Method for Battery Storage in Grid-connected Microgrids Based on a Power Exchanging Process

et al. 2019

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Battery storage (BS) sizing problems for grid-connected microgrids (GCμGs) commonly use stochastic scenarios to represent uncertain natures of renewable energy and load demand in the GCμG. Though taking a large number of stochastic scenarios into consideration can deliver a relatively accurate optimal result, it can also highly deteriorate the computational efficiency of the sizing problem. To make an accuracy-efficiency trade-off, a computationally efficient optimization method to optimize the BS capacities based on the power exchanging process of the GCμG is proposed in this paper. According to the imbalanced power of the GCμG, this paper investigates the power exchanging process between the GCμG, BS and external grid. Motivated by the BS dynamics, a forward/backward sweep-based energy management scheme is proposed based on the power exchanging process. A heuristic two-level optimization model is developed with sizing BS as the upper-level problem and optimizing the operational cost of the GCμG as the lower-level problem. The lower-level problem is solved by the proposed energy management scheme and the objective function of the upper-level is minimized by the pattern search (PS) algorithm. To validate the accuracy and computational efficiency of the proposed method, the numerical results are compared with the mixed integer linear programming (MILP) method. The comparison shows that the proposed method shares similar accuracy but is much more time-efficient than the MILP method.

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Section: Introductionmentioning

confidence: 99%

A Computationally Efficient Optimization Method for Battery Storage in Grid-connected Microgrids Based on a Power Exchanging Process

et al. 2019

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“…The benefits of investing ESS is close to the power exchange between the microgrid and the main grid, thus the grid-connected mode is the focus of this paper. On the other hand, Reference [22] reviews the existing ESS sizing methods for microgrid applications and presents a generic sizing method that enables microgrid planners to efficiently determine the optimal ESS size, technology, and location. However, cost-benefit analysis was seldom investigated in the above ESS investment studies.…”

Section: Introductionmentioning

confidence: 99%

Exploring Economic Criteria for Energy Storage System Sizing

2019

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This paper presents two economic criteria for guiding the energy storage system (ESS) sizing in grid-connected microgrids. The internal power output model and the economic operation model of ESS are firstly established. Then, the combination of heuristic adjustment strategy and hybrid particle swarm optimization algorithm are introduced to solve the optimal operation model of ESS. Then according to the ESS life model and cost-benefit analysis, a static investment economic criterion which is easy and simple to be calculated is proposed to demonstrate the economic feasibility of ESS investment programs in the short term. Considering the time value of currency, a dynamic investment economic criterion is proposed later for long-term investment projects. Furthermore, the ESS sizing boundary of achieving profits could be also obtained according to the criteria which can indicate the economic attractiveness or resistance to ESS investors in the microgrid. A case study has verified its effectiveness. At the same time, sensitivity analysis is given to show the impact on key parameters, such as investment unit price and electricity purchase price on ESS investment.

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“…In order to overcome this problem, battery energy storage systems (BESSs) [3] are installed in microgrids due to their fast dynamic responses and accurate performances in absorbing excessive power and compensating for insufficient power. In [4], a BESS was used to provide fast active power compensation and improve performances of load frequency control.…”

Section: Introductionmentioning

confidence: 99%

Novel Distributed Optimal Control of Battery Energy Storage System in an Islanded Microgrid with Fast Frequency Recovery

Bai

Luo

et al. 2018

Energies

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Highly intermittent renewable energy sources pose new challenges to microgrid operation and control. Thus, many distributed control strategies have been proposed to solve this problem. However, for most previous studies, the system frequency fluctuation can be further controlled on the basis of the optimal control strategy. This paper proposes a novel distributed optimal control strategy of a battery energy storage system in an islanded microgrid to provide desired optimal control performance and fast frequency recovery. The proposed control strategy is implemented through a multi-agent system based on consensus algorithm, which only requires information collected through a local communication network. Furthermore, the measurement of supply–demand mismatch is replaced by the control signal obtained from a supplementary controller with the improved linear active disturbance rejection control algorithm. The stability of microgrid frequency can be greatly enhanced through this improvement. Finally, the validity of proposed method is demonstrated by various case studies which are given in this paper.

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State-Of-The-Art in Microgrid-Integrated Distributed Energy Storage Sizing

Cited by 40 publications

References 35 publications

A Computationally Efficient Optimization Method for Battery Storage in Grid-connected Microgrids Based on a Power Exchanging Process

A Computationally Efficient Optimization Method for Battery Storage in Grid-connected Microgrids Based on a Power Exchanging Process

Exploring Economic Criteria for Energy Storage System Sizing

Novel Distributed Optimal Control of Battery Energy Storage System in an Islanded Microgrid with Fast Frequency Recovery

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