scholarly journals A Heuristic Methods-Based Power Distribution System Optimization Toolbox

Algorithms ◽  
2021 ◽  
Vol 15 (1) ◽  
pp. 14
Author(s):  
İsmail Alperen Özlü ◽  
Olzhas Baimakhanov ◽  
Almaz Saukhimov ◽  
Oğuzhan Ceylan
Keyword(s):  
User Interface ◽  
Energy Storage ◽  
Power Output ◽  
Power Distribution ◽  
Distribution System ◽  
Distribution Systems ◽  
Storage Systems ◽  
Test System ◽  
Heuristic Methods ◽  
Test Systems

This paper proposes a toolbox for simulating the effective integration of renewable energy sources into distribution systems. The toolbox uses four heuristic methods: the particle swarm optimization (PSO) method, and three recently developed methods, namely Gray Wolf Optimization (GWO), Ant Lion Optimization (ALO), and Whale Optimization Algorithm (WOA), for the efficient operation of power distribution systems. The toolbox consists of two main functionalities. The first one allows the user to select the test system to be solved (33-, 69-, or 141-bus test systems), the locations of the distributed generators (DGs), and the voltage regulators. In addition, the user selects the daily active power output profiles of the DGs, and the tool solves the voltage deviation problem for the specified time of day. The second functionality involves the simulation of energy storage systems and provides the optimal daily power output of the resources. With this program, a graphical user interface (GUI) allows users to select the test system, the optimization method to be used, the number of DGs and locations, the locations and number of battery energy storage systems (BESSs), and the tap changer locations. With the simple user interface, the user can manage the distribution system simulation and see the results by making appropriate changes to the test systems.

scholarly journals Operating-Condition-Based Voltage Control Algorithm of Distributed Energy Storage Systems in Variable Energy Resource Integrated Distribution System

Electronics ◽  
2020 ◽  
Vol 9 (2) ◽  
pp. 211 ◽  
Author(s):  
Seung Gil Noh ◽  
Woo Yeong Choi ◽  
Kyung Soo Kook
Keyword(s):  
Energy Storage ◽  
Distribution System ◽  
Control Algorithm ◽  
Distribution Systems ◽  
Storage Systems ◽  
Energy Resource ◽  
Operating Conditions ◽  
Distributed Energy ◽  
Distributed Energy Storage ◽  
Variable Energy

Penetration of variable energy resource (VER) is limited by voltage constraints in distribution systems. Hence, distributed energy storage systems (ESS) have been considered to be a promising solution owing to their fast and flexible control capability. This paper proposes a voltage control algorithm of the distributed ESS based on the varying operating conditions of the distribution systems. In the proposed algorithm, the required responses of the distributed ESS are controlled for regulating the monitored voltage on the distribution system by using the matched Jacobian element derived from the operating conditions as its control gain. In addition, each required response is readjusted by allocating the violated voltage to distributed ESS respectively based on the portion of its Jacobian element and its available state of charge (SoC). The effectiveness of the proposed algorithm is verified through time-series simulation by employing one of the actual distribution systems with a high penetration of VER in Korea.

scholarly journals Optimal Operational Scheduling of Reconfigurable Multi-Microgrids Considering Energy Storage Systems

Energies ◽  
2019 ◽  
Vol 12 (9) ◽  
pp. 1766 ◽  
Author(s):  
Saeid Esmaeili ◽  
Amjad Anvari-Moghaddam ◽  
Shahram Jadid
Keyword(s):  
Energy Storage ◽  
Distribution System ◽  
Storage Systems ◽  
Test System ◽  
Point Of View ◽  
Mixed Integer ◽  
Energy Storage Systems ◽  
Second Order Cone ◽  
Conflicting Objectives ◽  
System Operator

This paper proposes an optimal operational scheduling of a reconfigurable multi-microgrid (MG) distribution system complemented by demand response programs and Energy Storage Systems (ESSs) in an uncertain environment. Since there is a set of competing players with inherently conflicting objectives in the system under study such as the Distribution System Operator (DSO) and MG owners, a one-leader multi-follower-type bi-level optimization model is proposed. In this framework, the upper-level player as a leader minimizes the total cost from DSO’s point of view, while the lower-level players as multi-followers maximize the profit of MG owners. Since the resulting model is a non-linear bi-level optimization problem, it is transformed into a single-level mixed-integer second-order cone programming problem through Karush–Kuhn–Tucker conditions. The satisfactory performance of the proposed model is investigated on a real-test system under different scenarios and working conditions.

scholarly journals Energy storage planning in distribution systems considering life-cycling-usage relationship

2021 ◽  
Author(s):  
Nastaran Hajia
Keyword(s):  
Energy Storage ◽  
Distribution System ◽  
Distribution Systems ◽  
Storage Systems ◽  
Peak Load ◽  
Energy Storage Systems ◽  
Expansion Planning ◽  
Depth Of Discharge ◽  
Asset Planning ◽  
Battery Energy

Asset expansion planning in Distribution System is important and should be expanded to consider utility scale energy storage systems such as batteries, flywheels, compressed air, thermal, etc. Battery Energy Storage Systems (BESS) are maturing for utility scale applications and are considered in this thesis for asset planning exercise. Unlike other electromechanical assets such as generators, transformers, motors, feeders, distribution lines, etc., usage parameters such as number of storage cycles and depth of discharge have a dramatic nonlinear effect on the life of Battery Energy Storage Systems. Hence, in the optimal asset planning formulation of electric power distribution systems considering BESS, it is imperative to include their relationship between life in years, number of storage cycles and extent of usage in terms of depth of discharge. A new optimal asset expansion planning formulation and algorithm for distribution systems is developed and presented in this thesis that considers (1) new sources of energy supply, and (2) BESS, while modeling nonlinear relationship life-cycling-usage of BESS. The formulation aims to minimize annualized cost of the optimal expansion plan while satisfying forecasted demand and other distribution system service requirements. The proposed method in this thesis is then used to develop optimal expansion plans for a 6-bus synthetic system and an IEEE 33-bus distribution network. The results show the effect of considering the life-cycling-usage relationship of BESS on optimal asset expansion plans. Further, using sensitivity analysis, the effect of ratio off-peak load to peak load on total asset costs are analyzed and reported.

Pareto Optimal Reconfiguration of Power Distribution Systems with Load Uncertainty and Recloser Placement Simultaneousely Using a Genetic Algorithm Based on NSGA-II

2016 ◽  
Vol 1 (3) ◽  
pp. 419
Author(s):  
Sina Khajeh Ahmad Attari ◽  
Mahmoud reza Shakarami ◽  
Farhad Namdari
Keyword(s):  
Power Distribution ◽  
Distribution System ◽  
Distribution Systems ◽  
Test System ◽  
Simultaneous Optimization ◽  
Transient Faults ◽  
Nsga Ii ◽  
Load Uncertainty ◽  
Operational Conditions ◽  
Power Loss Reduction

<em><span>Reconfiguration, by exchanging the functional links between the elements of the system, represents one of the most important measures which can improve the operational performance of a distribution system. Besides, reclosers use to eliminate transient faults, faults isolation, network management and enhance reliability to reduce customer outages. For load uncertainty a new method based on probabilistic interval arithmetic approach is used to incorporate uncertainty in load demand that can forecast reasonably accurate operational conditions of radial system distribution (RDS) with better computational efficiency.<strong> </strong>In this paper, the optimization process is performed by considering power loss reduction along with reliability index as objective functions. Simulation results on radial 33 buses test system indicates that simultaneous optimization of these two issues has significant impact on system performance.</span></em>

scholarly journals A Generalized Model and Control forSupermagnetic and Supercapacitor EnergyStorage

2017 ◽  
Vol 13 (26) ◽  
pp. 147-171 ◽  
Author(s):  
Walter Julián Gil González ◽  
Alejandro Garcés ◽  
Andrés Escobar
Keyword(s):  
Energy Storage ◽  
Power Distribution ◽  
Distribution System ◽  
Distribution Systems ◽  
Reactive Power ◽  
Magnetic Energy ◽  
Current Source ◽  
Space Representation ◽  
Power Distribution System ◽  
Electrical Distribution

This paper presents a generalized linear model based on LMI state-feedbackwith integral action, applicable to the control of Electric Energy Stora-ge Systems (EESS) such as Superconducting Magnetic Energy Storage(SMES) and Supercapacitor Energy Storage (SCES). A Voltage SourceConverter (VSC) and a Pulse-Width modulated Current Source Converter(PWM-CSC) are respectively used to integrate the SCES and the SMESsystems to the electrical distribution system. To represent the dynamicsbetween the EESS and the power distribution system a reduced generallinear model in the state-space representation is introduced. The proposedcontrol scheme regulates independently the active and reactive power flowbetween the EESS and ac the grid. Three case scenarios comparing a con-ventional PI controller and the proposed technique are conducted conside-ring grid voltage fluctuations. Extensive time-domain simulations demons-trate the robustness and proper performance of the proposed controller to operate the EESS as power compensator, in order to improve the operativeconditions of electrical distribution systems.

scholarly journals IoT-Based Mobile Energy Storage Operation in Multi-MG Power Distribution Systems to Enhance System Resiliency

Energies ◽  
2022 ◽  
Vol 15 (1) ◽  
pp. 314
Author(s):  
Md Shahin Alam ◽  
Seyed Ali Arefifar
Keyword(s):  
Energy Storage ◽  
Power Distribution ◽  
Distribution System ◽  
Distribution Systems ◽  
Optimal Operation ◽  
Energy Resources ◽  
Operational Performance ◽  
Power Distribution Systems ◽  
Multi Stage ◽  
The Impact

Multi-microgrids have gained interest in academics and industry in recent years. Multi-microgrid (MG) allows the integration of different distributed energy resources (DERs), including intermittent renewables and controllable local generators, and provides a more flexible, reliable, and efficient power grid. This research formulates and proposes a solution for finding optimal location and operation of mobile energy storage (MES) in multi-MG power distribution systems (PDS) with different resources during extreme events to maximize system resiliency. For this purpose, a multi-stage event-based system resiliency index is defined and the impact of the Internet of things (IoT) application in MES operation in multi-MG systems is investigated. Moreover, the demand and price uncertainty impact on multi-MG operational performance indices is presented. This research uses a popular PG & E 69-bus multi-MG power distribution network for simulation and case studies. A new hybrid PSO-TS optimization algorithm is constructed for the simulations to better understand the contributions of MES units and different DERs and IoT on the operational aspects of a multi-MG system. The results obtained from the simulations illustrate that optimal operation of MES and other energy resources, along with the corresponding energy sharing strategies, significantly improves the distribution system operational performance.

Unit Template Based Control of PV-DSTATCOM

2020 ◽  
Vol 13 (1) ◽  
pp. 36-42
Author(s):  
Gunjan Varshney ◽  
Durg S. Chauhan ◽  
Madhukar P. Dave ◽  
Nitin
Keyword(s):  
Power Quality ◽  
Power Factor ◽  
Power Distribution ◽  
Distribution System ◽  
Distribution Systems ◽  
Phase Distribution ◽  
Voltage Regulation ◽  
Photovoltaic Array ◽  
Quality Issues ◽  
Static Compensator

Background: In modern electrical power distribution systems, Power Quality has become an important concern due to the escalating use of automatic, microprocessor and microcontroller based end user applications. Methods: In this paper, power quality improvement has done using Photovoltaic based Distribution Static Compensator (PV-DSTATCOM). Complete simulation modelling and control of Photovoltaic based Distribution Static Compensator have been provided in the presented paper. In this configuration, DSTATCOM is fed by solar photovoltaic array and PV module is also helpful to maintain the DC link voltage. The switching of PV-STATCOM is controlled by Unit template based control theory. Results: The performance of PV-DSTATCOM has been evaluated for Unity Power Factor (UPF) and AC Voltage Control (ACVC) modes. Here, for studying the power quality issues three-phase distribution system is considered and results have been verified through simulation based on MATLAB software. Conclusion: Different power quality issues and their improvement are studied and presented here for harmonic reduction, DC voltage regulation and power factor correction.

SFCL for Energy Storage Protection in a Power Distribution System

2016 ◽  
Vol 4 (1) ◽  
pp. 15-24
Author(s):  
V. Mohanbabu ◽  
◽  
Sk. Moulali ◽  
Ju Chan Na ◽  
Peng Cheng ◽  
...  
Keyword(s):  
Energy Storage ◽  
Power Distribution ◽  
Distribution System ◽  
Power Distribution System

scholarly journals A Game-Theoretic Loss Allocation Approach in Power Distribution Systems with High Penetration of Distributed Generations

Mathematics ◽  
2018 ◽  
Vol 6 (9) ◽  
pp. 158
Author(s):  
Farzaneh Pourahmadi ◽  
Payman Dehghanian
Keyword(s):  
Power Systems ◽  
Power Distribution ◽  
Distribution System ◽  
Distribution Systems ◽  
Power Distribution Systems ◽  
Loss Allocation ◽  
Distributed Generators ◽  
High Penetration ◽  
Game Theoretic ◽  
Allocation Approach

Allocation of the power losses to distributed generators and consumers has been a challenging concern for decades in restructured power systems. This paper proposes a promising approach for loss allocation in power distribution systems based on a cooperative concept of game-theory, named Shapley Value allocation. The proposed solution is a generic approach, applicable to both radial and meshed distribution systems as well as those with high penetration of renewables and DG units. With several different methods for distribution system loss allocation, the suggested method has been shown to be a straight-forward and efficient criterion for performance comparisons. The suggested loss allocation approach is numerically investigated, the results of which are presented for two distribution systems and its performance is compared with those obtained by other methodologies.

Optimal fault location for power distribution systems with distributed generations using synchronized measurements

2020 ◽  
Vol 0 (0) ◽  
Author(s):  
Wen Fan ◽  
Yuan Liao ◽  
Ning kang
Keyword(s):  
Power Distribution ◽  
Distribution Systems ◽  
Fault Location ◽  
Test System ◽  
Power Distribution Systems ◽  
Distributed Generations ◽  
High Penetration ◽  
Maintenance Time ◽  
Phasor Measurements ◽  
Synchronized Measurements

AbstractAccurate fault location in distribution systems greatly shortens maintenance time and improves reliability. This paper presents novel methods to pinpoint fault location and identify possible bad measurements for enhanced accuracy. It is assumed that network parameters and topology of the distribution network are available. The methods are applicable to a single fault as well as simultaneous faults and are applicable to both balanced and unbalanced networks. The methods utilize synchronized voltage and current phasor measurements to locate the fault. The methods are validated by simulation studies using the modified IEEE 34-Node Test System. Case studies have demonstrated that the methods are suitable for distribution systems with high penetration of distributed generations.

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