Modifying Power Quality's Indices of Load by Presenting an Adaptive Method based on Hebb Learning Algorithm for Controlling DVR

Abstract

Original scientific paperHaving electricity with high quality is one of the more important aims in electrical systems. Disturbances in distribution systems can change voltage waveform. There are some methods to prepare high power quality for sensitive loads. In this research we use "Dynamic Voltage Restorer" to compensate the harmful effects of disturbances on voltage. Since power systems fundamentally have complicated dynamic behavior, especially during faults, "Hebb" learning self-tuning controller, which is a powerful adaptive controller, has been used. In order to improve the performance of this controller from point of view of power quality's indices, such as flash and sensitive load voltage THD, a new structure is proposed for this controller with fuzzification method. Simulation results indicate better operation of the system for the case of proposed controller. Voltage sag and harmonics in faulty conditions are both improved by the proposed controller. According to simulation results, it works better than both classical PI controller and conventional Hebb learning controller.Key words: DVR, Sensitive load, Power quality, Fuzzy membership function, Multi-objective Hebb learning algorithm, Self-tuning controller Promjena indikatora kvalitete električne energije trošila predstavljanjem adaptivne metode za upravljanje DVR-om zasnovane na Hebbovom algoritmu učenja. Jedan od važnijih ciljeva elektroenergetskog sustava visoka je kvaliteta električne energije. Poremećaji u distribucijskom sustavu mogu neželjeno izmijeniti valni oblik napona. Postoji nekoliko metoda kako osigurati visoku kvalitetu energije za osjetljiva trošila. U istraživanju koristimo "dinamičku obnovu napona" za kompenziranje štetnih efekata poremećaja u naponu. Kako energetski sustavi u osnovi imaju složeno dinamičko ponašanje, posebno tijekom kvarova, korišten je vrlo moćan adaptivni regulator: "Hebbov" samopodešavajući regulator sa sposobnošću učenja. Da bi se unaprijedilo vladanje spomenutog regulatora s aspekta indikatora kvalitete energije kao što su parcijalna izbijanja i THD osjetljivog trošila, predložena je nova struktura regulatora s uključenim metodama neizrazite logike. Simulacijski rezultati pokazuju bolji rad sustava uz korištenje predloženog regulatora. Regulator smanjuje propade napona i poboljšava harmonični sastav sustava u kvarnim uvjetima. Rezultati simulacija tako er pokazuju bolje ponašanje u odnosu na uobičajeni PI regulator te konvencionalni Hebbov regulator s učenjem.

Bi-objective regulating of DVR compensator to modify power quality's indices of load

“…The power distribution system case study consists of two load buses that one of them includes the sensitive load. This simple electrical network has been shown in Figure 4 and its parameters have been introduced in Table 1 (references [2][3]). This project has been simulated in the MATLAB/SIMULINK environment as well.…”

“…However, in the aforementioned studies, algorithms with high level of complexity have been used meanwhile they may cause some problems in practical implementation. Also, we can claim that [3] is the only research which has considered THD voltage as a second goal. This approach is one of the intelligent control methods that acts based on hebb learning control.…”

Voltage control using eigen value decomposition of fast decoupled load flow Jacobian

“…buses with the voltage greater than 1.1 pu). In this case, control input should be updated by equation (15) to check if a conflict of interest exists in controlling bus voltages i and j at the same time, RST = ∆ 8! ∩ Δ 8^ (15) Where symbol ∩ is used here as an operator that removes the confliction among the conflicted buses as in equation (16):…”

“…As an example, the blackout in Western Europe was caused by the phenomenon of voltage collapse [5]. Different voltage control devices for injecting reactive power have been used such as synchronous condensors [6], tap changer transformers [7], capacitor banks [8,9], and Flexible AC transmission systems (FACTS) [10][11][12][13][14][15][16]. Voltage controllers are typically categorized in a hierarchical structure including three levels, namely primary, secondary and tertiary levels [17][18][19][20][21].…”

Optimal Operation of Combined Photovoltaic Electrolyzer Systems

“…Most recently, meta-heuristic-based optimization algorithms inspired by biological phenomena and natural occurrences have been proven to perform much better in comparison with other widely available algorithms [32][33][34]. One immensely useful addition to this arsenal is the imperialistic competitive algorithm (ICA), which does not require the function gradient (or slope) during its optimization process.…”