Distributed control of battery energy storage systems in distribution networks for voltage regulation at transmission–distribution network interconnection points

Zhao, Tianqiao; Parisio, Alessandra; Milanović, Jovica V.

doi:10.1016/j.conengprac.2021.104988

Cited by 21 publications

(10 citation statements)

References 33 publications

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“…When static implementation is considered, then equation ( 14) is replaced by equation (24), whereas in multiperiod analysis, equation ( 25) is used instead equation (20). In both cases, additional constraints are introduced to limit the maximum PV capacity of each unit to its maximum real value (S p ∈ R), to linearize mixed-integer expressions, and to limit the number of PV units (N pv ∈ Z), as it is shown in equations ( 26) and (27).…”

Section: Pv Implementationsmentioning

confidence: 99%

“…Te implementation of convex formulations for DER implementations has been documented for predictive control analysis [26], voltage regulation in transmission [27], BESS sizing in isolated microgrids, stochastic trading model for ancillary services with DER [28], virtual power plant coordination and scheduling [29,30], stand-alone microgrid planning responding to demand response mechanisms [31], and imbalance mitigation of single phase DER installations in active distribution networks [32]. Accordingly, in this paper a convex formulation for the optimal sizing and location of PV and BESS operation is studied in a simplifed data-based model of San Andres Island (Colombia) distribution network considering hourly averaged irradiance measurements and demand characterization data in a power loss minimization framework.…”

Section: Introductionmentioning

confidence: 99%

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Optimization of Distributed Energy Resources in Distribution Networks: Applications of Convex Optimal Power Flow Formulations in Distribution Networks

Osorio

Rosero

2023

International Transactions on Electrical Energy Systems

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The increasing penetration of distributed energy resources (DER) has imposed several challenges in the analysis and operation distribution networks. In the last decade, the implementation of battery energy storage systems (BESS) in electric networks has caught the interest in research since the results have shown multiple positive effects when deployed optimally. However, a complex formulation of the optimization problem regarding DER implementations can easly become nonconvex, thus limiting the scope of the results (quality) and affecting the computational efficiency. In this paper, convex formulations of the optimal power flow (OPF) problem for DER (PV and BESS) installations in San Andres distribution network were implemented to minimize power losses. Four main simulation cases were stablished covering convex power flow analysis, convex optimal power flow to locate and size dispatchable and nondispatchable DER (PV) with demand and irradiation profiles, and the inclusion of aggregated and distributed PV and BESS systems. The computational realization of those formulations was made with three different software packages: CVX in python, CPLEX, and MATLAB (MATPOWER/PSO). The results show that installing DER capacity (both PV and/or BESS) can substantially improve the power losses in distribution networks, especially if considered distributed instead of aggregated, achieving reductions up to 75% for power losses and up to 57% for conventional generation utilization. Besides power losses, it was observed that optimal DER (PV and BESS) implementations behaved similarly as demand response signals do, potentially increasing economic benefits for DISCOs. In terms of computational efficiency, convex formulations help substantially to reduce computation times, especially if scalability is to be considered when distributed DER installations were studied.

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Section: Pv Implementationsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Optimization of Distributed Energy Resources in Distribution Networks: Applications of Convex Optimal Power Flow Formulations in Distribution Networks

Osorio

Rosero

2023

International Transactions on Electrical Energy Systems

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“…In consequence, the declared parameters are required for Weibull distribution. The Weibull distribution is expressed as (12) [34].…”

Section: Wts Power Generation Uncertainty Modellingmentioning

confidence: 99%

“…Ref. [12] proposed a control strategy for ESS connection to the distribution networks by minimizing the real‐time voltage‐tracking mismatch as the objective function.…”

Section: Introductionmentioning

confidence: 99%

Stochastic scheduling of energy storage systems in harmonic polluted active distribution networks

Ebrahimi

Rezaeian‐Marjani

Farhadi‐Kangarlu

et al. 2022

IET Generation Trans & Dist

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Harmonics originating from non-linear loads in distribution systems will cause undesired effects and malfunctions of equipment. It is important to use efficient techniques for eliminating the voltage and current harmonic components. However, the uncertain nature of the active distribution networks (ADN) makes it difficult to apply these techniques, efficiently. Renewable energy sources (RESs), such as wind turbines (WTs) besides load fluctuations are the most important uncertainty sources. This study employs energy storage systems (ESS) to reduce total harmonic distortion (THD) as well as the ADN operating costs. In addition to the ESS, network structure reconfiguration and reactive power scheduling is presented for a more efficient operation of ADN. Also, the uncertainty of the network is modelled by the K-means and LHS methods. This methodology is conducted under a multi-objective optimization problem, which is handled by a multi-objective particle swarm optimization (MOPSO) algorithm. Furthermore, a technique for order of preference by similarity to ideal solution (TOPSIS) approach is applied to obtain the best compromise between two objectives. The efficacy of the proposed methodology is investigated in the IEEE 33 bus test system. Also, for validating the results, a large-scale network, the IEEE 118 bus test system is surveyed, too.

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“…The grid service constraints are then dualized and managed by a centralized DERMS coordinator that sends power injection adjustment control signals to local controllers so that the grid services can be satisfied [11,26,18,10,30,14,25,28,27,8]. In [32], the coordinator is further distributed so that each local controller takes partial responsibility in updating a subset of the dual variables corresponding to the grid service measurements it can observe and passing the updates to its neighbors.…”

Section: Introductionmentioning

confidence: 99%

Secure Control Regions for Distributed Stochastic Systems with Application to Distributed Energy Resource Dispatch

Comden

Zamzam

Bernstein

2022

2022 American Control Conference (ACC)

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With the increased adoption of distributed energy resources (DERs) in distribution networks, their coordinated control with a DER management system (DERMS) that provides grid services (e.g., voltage regulation, virtual power plant) is becoming more necessary. One particular type of DERMS using primal-dual control has recently been found to be very effective at providing multiple grid services among an aggregation of DERs; however, the main parameter, the primaldual step size, must be manually tuned for the DERMS to be effective, which can take a considerable amount of engineering time and labor. To this end, we design a simple method that self-tunes the step size(s) and adapts it to changing system conditions. Additionally, it gives the DER management operator the ability to prioritize among possibly competing grid services. We evaluate the automatic tuning method on a simulation model of a real-world feeder in Colorado with data obtained from an electric utility. Through a variety of scenarios, we demonstrate that the DERMS with automatically and adaptively tuned step sizes provides higher-quality grid services than a DERMS with a manually tuned step size.

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Distributed control of battery energy storage systems in distribution networks for voltage regulation at transmission–distribution network interconnection points

Cited by 21 publications

References 33 publications

Optimization of Distributed Energy Resources in Distribution Networks: Applications of Convex Optimal Power Flow Formulations in Distribution Networks

Optimization of Distributed Energy Resources in Distribution Networks: Applications of Convex Optimal Power Flow Formulations in Distribution Networks

Stochastic scheduling of energy storage systems in harmonic polluted active distribution networks

Secure Control Regions for Distributed Stochastic Systems with Application to Distributed Energy Resource Dispatch

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