Optimal sizing of energy storage systems under uncertain demand and generation

Bucciarelli, Martina; Paoletti, Simone; Vicino, Antonio

doi:10.1016/j.apenergy.2018.03.153

Cited by 50 publications

(15 citation statements)

References 41 publications

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“…Study investigates the interactions between electric and thermal energy and provides optimal planning perspective from an integrated perspective. Bucciarelli et al [104] Optimization modelling…”

Section: Energy Storage Systemsmentioning

confidence: 99%

Smart Grid to Energy Internet: A Systematic Review of Transitioning Electricity Systems

Joseph

Balachandra

2020

IEEE Access

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The concept of Energy Internet has emerged from the limitless possibilities of energy sharing networks formed by interconnection of electricity producers cum consumers (prosumers) with renewable energy sources/systems, electric loads, and storage devices. Energy Internet represents a radical transformation of traditional electricity system by orchestrating real-time bidirectional power, communication, and money flows. This transformation is expected to be resultant of ongoing renewable energy transitions and evolution in the energy technologies such as smart grids, storage devices, vehicle-togrid, etc. Energy Internet will rely on wide spectrum of Information and Communication Technologies such as Internet of Things, Artificial Intelligence, Blockchains, Payment Interfaces, etc. These technologies have achieved a state of evolution to facilitate seamless bidirectional flows in the Energy Internet. This paper has attempted to study the aptness of Energy Internet for a transitioning electricity system by focusing on national electricity systems across the globe. Firstly, study delves into discussion on studies related to smart grids since it is the precursor of Energy Internet, and various other studies which discuss the developments that likely to enable smooth transition of present electricity system to Energy Internet. Secondly, a systematic review of literature related to state-of-the-art of Energy Internet is performed to outline its structure, operational features and energy market mechanisms. We find that while system infrastructures, technologies, and operational principles across globe are adequately ready for the transition to Energy Internet, hindrances put forth by the policies, regulations, government agencies and institutions need to be addressed to realize a nationwide Energy Internet.

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Section: Energy Storage Systemsmentioning

confidence: 99%

Smart Grid to Energy Internet: A Systematic Review of Transitioning Electricity Systems

Joseph

Balachandra

2020

IEEE Access

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“…In another study [8], the optimal size of ESS was obtained using an interior point algorithm, particularly the Jacobian analytical gradient to enhance the optimisation outcome by minimising the system operation cost. Furthermore, a scenario-based twostage method was introduced [9] to attain optimal ESS sizing to minimise the installation and operation cost. The first stage of the work focused on the optimisation of ESS sizing, while the second stage focused on the optimal control of ESS.…”

Section: B Literature Reviewmentioning

confidence: 99%

Optimal Placement and Sizing of Battery Energy Storage System Considering the Duck Curve Phenomenon

et al. 2020

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This paper suggests a method to place and size the battery energy storage system (BESS) optimally to minimise total system losses in a distribution system. Subsequently, the duck curve phenomenon is taken into consideration while determining the location and sizing. The locations and sizing of BESS were optimised using a metaheuristic algorithm with high exploration and exploitation ability which is known as the Whale Optimisation Algorithm (WOA). Meanwhile, the performance of WOA was validated using other algorithms, i.e., Particle Swarm Optimisation and Firefly Algorithm. The results demonstrated the capability of WOA to determine the optimal BESS location and sizing for all cases, with and without considering the duck curve issue for loss reduction. Besides that, the duck curve issue can be mitigated by appropriately optimising the energy storage system (ESS) to reduce the steep ramp of the duck neck and ducktail and to lift the duck belly. In conclusion, although less loss reduction was achieved as a tradeoff to fulfil the constraint on net load ramp limit, the required BESS sizing was much smaller than the case without those constraints and charging operation, which makes this solution economically viable.

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“…In the majority of real-life cases, the demand is not known a priori and may fluctuate with time in an uncertain way, which poses a significant challenge for balancing the costs and revenues. Besides logistics, this uncertainty is encountered in other contexts as well, i.e., trade [50], tourism [51], or energy distribution [52]. In order to address its negative implications, various resource management strategies are proposed and tuned to the specifics of a particular problem.…”

Section: Objectives and Paper Contributionmentioning

confidence: 99%

Networked Base‐Stock Inventory Control in Complex Distribution Systems

Ignaciuk

Wieczorek

2019

Mathematical Problems in Engineering

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This paper addresses the resource distribution problem in logistic networks with a complex, multi-echelon interconnection structure. The considered class of systems encompasses two types of nodes: controlled nodes subject to inventory management decisions and sources providing goods to the system to sustain the sales. The stock gathered at the controlled nodes is used to satisfy an exogenous, uncertain demand that may be placed at any controlled node. The stock is replenished from the sources and other controlled nodes, and the flow of goods proceeds with positive lead-time delay. The network topology does not assume any structural simplifications typically considered in inventory control problems, i.e., the nodes can form a link with any other node which leads to a mesh, multi-echelon structure. The contribution of this paper is twofold: First, the classical order-up-to policy is analyzed formally with respect to such nontrivial connectivity architectures, and conditions for full demand satisfaction under any bounded demand pattern are established. Next, a networked extension of the classical policy is proposed. The introduced networked policy is shown to generate smaller holding costs while maintaining the same service level as the classical policy. The formal study is supported by numerical tests involving genetic algorithms and simulation-based optimization.

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Optimal sizing of energy storage systems under uncertain demand and generation

Cited by 50 publications

References 41 publications

Smart Grid to Energy Internet: A Systematic Review of Transitioning Electricity Systems

Smart Grid to Energy Internet: A Systematic Review of Transitioning Electricity Systems

Optimal Placement and Sizing of Battery Energy Storage System Considering the Duck Curve Phenomenon

Networked Base‐Stock Inventory Control in Complex Distribution Systems

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