scholarly journals Exploration of DG Placement Strategy of Microgrids via FMFO Algorithm: Considering Increasing Power Demand and Diverse DG Combinations

Energies ◽  
2020 ◽  
Vol 13 (24) ◽  
pp. 6568
Author(s):  
Xiancheng Wang ◽  
Thiruvenkadam Srinivasan ◽  
Hyuntae Kim ◽  
In-ho Ra

Distributed energy resource (DER) has been widely deployed, and distributed generation (DG) can complement the distribution system. Favorable DG deployment provides the grid-connected microgrid (MG) with stable voltage and reduces emission and power generation costs. DGs are considered distributed feeders, and MG is required to be operated under the optimal state. Reconfiguration is a practical approach to optimizing resource allocation. The optimal global solution is obtained via optimization algorithms. In this paper, three objectives are defined, namely, minimization of economic cost (ECC), emission cost (EMC), and voltage deviation (VD). Consequently, a fuzzy moth-flame optimization (FMFO) algorithm is proposed to coordinate the interests of multiple objectives. Moreover, the simulation is conducted based on the standard IEEE 33-bus radial distribution system (RDS), under which the impact of deployment of various DG type and quantity on the MG is explored. In particular, diverse DG combinations are tried under the increasing power demand, and a high-stable voltage strategy is proposed to meet the specific demands. The simulation results reveal that: (1) the DG type has a significant impact on ECC and EMC; (2) penetration level of DG shows a positive-like relationship with the MG stability; and (3) the proposed FMFO algorithm exhibits an efficient performance in convergence.

Author(s):  
Mounika Kannan ◽  
Kirithikaa Sampath ◽  
Srividhya Pattabiraman ◽  
K Narayanan ◽  
Tomonobu Senjyu

Abstract Abnormal Voltages in electrical distribution system is a threat to power system security and may cause equipment damages. Reconfiguration aids in the proper distribution of load and thus improving the voltage profile. The multi objective framework including node voltage deviation as primary objective and power loss and reliability as secondary objectives is formulated. The novel meta heuristic method based on binary particle swarm optimization (BPSO) is employed to find the optimal radial distribution network configuration for an assortment of objective function. The effect of inertia weight, position and population of swarm is deeply investigated. The proposed method has been verified on IEEE 33 and 69 bus radial distribution systems and found to be effective in minimizing node voltage deviation. The impact of the reconfigured system on voltage deviation, power loss and reliability has been studied extensively. BPSO calculations are found to be simple and has good Convergence characteristics in comparison with other meta heuristic techniques.


Energies ◽  
2020 ◽  
Vol 13 (13) ◽  
pp. 3367
Author(s):  
Victor Widiputra ◽  
Junhyuk Kong ◽  
Yejin Yang ◽  
Jaesung Jung ◽  
Robert Broadwater

Intermittent power generated from renewable distributed energy resource (DER) can create voltage stability problems in the system during peak power production in the low demand period. Thus, the existing standard for operation and management of the distribution system limits the penetration level of the DER and the amount of load in a power system. In this standard, the hosting capacity of the DER is limited to each feeder at a level where the voltage problem does not occur. South Korea applied this standard, thereby making it hard to achieve its DER target. However, by analyzing the voltage stability of an integrated system, the hosting capacity of DER can be increased. Therefore, in this study, the maximum hosting capacity of DER is determined by analyzing an integrated transmission and distribution system. Moreover, the fast voltage stability index (FVSI) is used to verify the determined hosting capacity of DER. For this, the existing interconnection standard of DER at a feeder, distribution system, and transmission system level is investigated. Subsequently, a Monte Carlo simulation is performed to determine the maximum penetration of the DER at a feeder level, while varying the load according to the standard test system in South Korea. The actual load generation profile is used to simulate system conditions in order to determine the maximum DER hosting capacity.


Energies ◽  
2020 ◽  
Vol 13 (17) ◽  
pp. 4367
Author(s):  
Hyun-Tae Kim ◽  
Jungju Lee ◽  
Myungseok Yoon ◽  
Moon-Jeong Lee ◽  
Namhun Cho ◽  
...  

Recently, the demand for electricity has been increasing worldwide. Thus, more attention has been paid to renewable energy. There are acceptable limits during the integration of renewable energy into distribution systems because there are many effects of integrating renewable energy. Unlike previous studies that have estimated the distributed energy resource (DER) hosting capacity using the standard high voltage and probability approach, in this study, we propose an algorithm to estimate the DER hosting capacity by considering DER outages due to abrupt disturbances or uncertainties based on the generator ramp rate and voltage stability, which involves analysis of the low-voltage aspects. Furthermore, this method does not involve a complicated process or need large amounts of data to estimate the DER hosting capacity because it requires only minimum data for power flow. The proposed algorithm was applied to the IEEE-33 radial distribution system. According to the DER capacity, a voltage stability analysis based on continuation power flow (CPF) was conducted in a case of DER outage to estimate the DER hosting capacity in this case study. Thus, the DER hosting capacity was estimated for the IEEE-33 radial distribution system.


2021 ◽  
Author(s):  
Jing Wang ◽  
Jianqiao Huang ◽  
Xinyang Zhou

This paper presents performance evaluation of hierarchical optimization and control for distributed energy resource management system (DERMS) in large distribution networks via an advanced hardware-in-the-loop (HIL) platform. The HIL platform provides realistic testing in a laboratory environment, including the accurate modeling of a full-scale distribution system of 11,000 nodes, the DERMS software controller, and 90 power hardware photovoltaics (PVs) and battery inverters. The applied DERMS algorithm is designed based on a realtime optimal power flow algorithm and implemented with acceleration design that performs fast dispatch of simulated PVs and real physical hardware DER devices every 4 seconds.<br>


2019 ◽  
Vol 2 (1) ◽  
pp. 35-42
Author(s):  
Mohammad Hajivand ◽  
Masoud Zahedi Vahid ◽  
Farzad Goudarzvand Chegini ◽  
Poorya Rahmati-Kahkha ◽  
Reza Hajivand

This paper presents a novel scheme for comprehensive planning of reliability-centered maintenance (RCM) in the electrical distribution system to minimize the costs of cable repair and maintenance. To this end, a new formulation is proposed by taking into account the maintenance costs for different cases, repairs, repair-caused load projects, and energy purchase or generation costs. To solve the given complex problem, one of the most powerful and newest particle intelligence techniques called GSO algorithm is employed. Simulations are carried out on a 30-bus test network. Moreover, three scenarios and ten cases are applied in the process of extracting results to analyze the impact of various items on parameters of the objective function.


2021 ◽  
Author(s):  
Jing Wang ◽  
Jianqiao Huang ◽  
Xinyang Zhou

This paper presents performance evaluation of hierarchical optimization and control for distributed energy resource management system (DERMS) in large distribution networks via an advanced hardware-in-the-loop (HIL) platform. The HIL platform provides realistic testing in a laboratory environment, including the accurate modeling of a full-scale distribution system of 11,000 nodes, the DERMS software controller, and 90 power hardware photovoltaics (PVs) and battery inverters. The applied DERMS algorithm is designed based on a realtime optimal power flow algorithm and implemented with acceleration design that performs fast dispatch of simulated PVs and real physical hardware DER devices every 4 seconds.<br>


2014 ◽  
Vol 986-987 ◽  
pp. 286-290
Author(s):  
Hai Tao Liu ◽  
Hui Yu ◽  
Yi Ming Lu ◽  
Guang Xian Lv ◽  
Yu Chen ◽  
...  

The key distribution automation (DA) application for implementing a self-healing smart distribution network is the fault location isolation and service restoration (FLISR) application. With DGs introduce significantly more variability into distribution system power flows, it has a great impact to FLISR. Based on summarizing the existing FLISR scheme, this paper analyses the influence of fault detection and service restoration with large-scale DGs.


In this work, the Impact of integration of multiple Photo Voltaic distributed generators (PV-DGs) on power quality of the distribution system is analyzed under static and dynamic loads. Major power quality parameters considered for the analysis are voltage deviation (VD), Total Real power and reactive power line losses (PT L & QT L) and Total Harmonic Distortion of Voltage at Buses (THDv ). Test system considered for the study is the IEEE-9 bus test system and types of loads considered are Static RL and Induction motors. Modeling and simulation of test system, PVs and Induction motor loads are carriedoutinMATLAB/SIMULINK software package


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