Systematic procedures for sizing photovoltaic pumping system, using water tank storage

Hamidat, A.; Benyoucef, B.

doi:10.1016/j.enpol.2008.12.014

Cited by 84 publications

(43 citation statements)

References 27 publications

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“…The power delivered by the pump to the fluid called hydraulic power which is required per day to supply volume of water Vt (m 3 ) at total dynamic head H TDH has been determined using eq. 4 [12,18,20]. 1000.…”

Section: Pump Hydraulic Powermentioning

confidence: 99%

The Potential of Solar Energy for Sustainable Water Resource Development and Averting National Social Burden in Rural Areas of Zambia

Mwanza

Kaoma

Bowa

et al. 2017

PEN

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Section: Pump Hydraulic Powermentioning

confidence: 99%

The Potential of Solar Energy for Sustainable Water Resource Development and Averting National Social Burden in Rural Areas of Zambia

Mwanza

Kaoma

Bowa

et al. 2017

PEN

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“…Otherwise at the end of the day j, the filling state of the tank is given by the following relationship [12]:…”

Section: Reliability Requirements: Minimizing Loss Of Load Probabilitymentioning

confidence: 99%

“…The capacity of storage, C S is the ratio between the useful capacity of the tank, C U T and the average daily consumption of water. The equations are given by [12]:…”

Section: Reliability Requirements: Minimizing Loss Of Load Probabilitymentioning

confidence: 99%

New Computing Method for Techno-Economic Analysis of the Photovoltaic Water Pumping System Using Fuzzy based NSGAII Optimization Approach

Mohammadi

2015

Automatika

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Original scientific paperThis paper presents an optimization of photovoltaic water pumping system (PWPS) considering the reliability criteria and economic aspects. In this way loss of load probability (LLP) as reliability criteria and life cycle cost (LCC) as economic criteria are used to simulate the performance of the PWPS. The sizing of a photovoltaic pumping system means the sizing of the photovoltaic module numbers and water tank storage capacity in terms of storage days. In the proposed algorithm, an external archive of non-dominated solution is kept which is updated during iteration. In addition, for preserving the diversity in the archive of Pareto solutions, the crowding distance operator is used. This attribute gives more flexibility to the planner for choosing the best final scheme among the obtained solutions. Of course in order to decision making, a fuzzy based NSGAII method is applied in this paper to select the favored solution among non-dominated solutions.Key words: Solar Energy, Photovoltaic Pumping Water, Loss of Load Probability, Life Cycle Cost, Fuzzy Based NSGAII Nova računalna metoda za tehno-ekonomsku analizu sustava fotonaponom napajane vodene pumpe bazirano na neizrazitoj logici. U radu je predstavljen optimizacijski problem upravljanja sustavom fotonaponom napajane vodene pumpe (FNVP) koji uzima u obzir kriterij pouzdanosti i ekonomski aspekt. Tako su vjerojatnost gubitka snage kao kriterij pouzdanosti i cijena životnog ciklusa kao ekonomski kriterij odabrani za simulaciju rada FNVP sustava. Dimenzioniranje FNVP sustava svodi se na dimenzioniranje broja fotonaponskih modula i kapaciteta spremnika vode u smislu dana opskrbe vodom. U predloženom algoritmu, nedominantna (Pareto optimalna) rješenja se pohranjuju u eksternu bazu i ažuriraju u svakoj iteraciji. Dodatno, za očuvanje raznolikosti baze Pareto rješenja koristi se crowding distance operator. Ta karakteristika daje veću fleksibilnost projektantu u odabiru najboljih parametara sustava meîu dobivenim rješenjima. S ciljem odabira jedinstvenog rješenja u skupu nedominantnih rješenja u radu je korišten genetski algoritam sortiranja nedominantnih rješenja.Ključne riječi: energija sunca, fotonaponom napajana vodena pumpa, vjerojatnost gubitka snage, cijena životnog ciklusa, NSGAII baziran na neizrazitoj logici

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“…Optimization procedure through particle swarm optimization principle was adapted in [17]. Optimization through plant growth simulation algorithm (PGSA) was first introduced for feeder reconfiguration in [12]. Later, the PGSA along with loss sensitivity factors was introduced [18] for optimal capacitor placement.…”

Section: Introductionmentioning

confidence: 99%

“…Since the nature of capacitor placement problem is complex combinatorial, different techniques have been followed by the authors in the past. The initial contribution was made by Schmill [12] using 2/3 rule for capacitor placement. Dynamic programming with assuming the capacitor sizes as discrete variables adapted by Duran [13].…”

Section: Introductionmentioning

confidence: 99%

Combined Reconfiguration and Capacitor Placement for Distribution System Volt/Var Control through Opposition based Differential Evolution Algorithm

Kumar

Ramraj²

2015

Automatika

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Original scientific paperPower distribution systems must be very effective in power delivery. Utilities are continuously looking for recent technologies to enhance power delivery performance. The control of power loss is one of the most important issues directly related to system efficiency. Distribution system reconfiguration and optimal capacitor placement are the two most popular techniques adapted for the control of power loss. The techniques not only concentrate on power loss control but also control volt/var of the distribution system, and at the same time improve the system reliability and security. Former method is the process of changing the topology of distribution system by altering the open/closed status of switches to find a radial operating structure that minimizes the system real power loss while satisfying operating constraints. Later is the identification of optimal location and size of the capacitors with the objective of minimizing the power loss. This paper combines both reconfiguration and optimal capacitor placement for the effective optimization. Furthermore, it utilizes Opposition based Differential Evolution algorithm for efficient searching for the optimal solution. The effectiveness of the proposed approach is demonstrated by employing the feeder switching operation scheme to IEEE-33 bus Power Distribution systems. The proposed algorithm reduces the transmission loss and controls volt/var while satisfying power flow constraints. Integrirani pristup rekonfiguracije i postavljanja kondenzatora za Volt/Var upravljanje distributivnim energetskim sustavima korištenjem na opoziciji baziranog algoritma diferencijske evolucije. Distributivne energetske sustav mora biti vrlo učinkovit u prijenosu energije. Javni sektor neprestano traga za novim tehnologijama ne bi li povećao učinkovitost prijenosa. Upravljanje gubicima energije jedan je od najvažnijih problema koji je direktno povezan s učinkovitošću mreže. Rekonfiguracija distributivne mreže i optimalno pozicioniranje kondenzatora su dvije uvriježene metode koje su prilagoîene za upravljanje gubicima energije. Navedene metode se ne koncentriraju samo na upravljanje gubicima već i upravljaju naponsko-reaktivnim prilikama distributivne mreže, i istovremeno povećavaju raspoloživost i pouzdanost sustava. Prva metoda uključuje postupak promjene topologije distributivne mreže promjenom stanja sklopki kako bi se našla radijalna operativna struktura koja minimizira gubitke radne snage u prijenosu uz zadovoljenje operativnih ograničenja. Druga metoda uključuje identifikaciju optimalne lokacije i veličine kondenzatora s ciljem minimizacije gubitaka snage. U ovom radu se kombiniraju obje metode, rekonfiguracije i optimalnog pozicioniranja, s ciljem učinkovite optimizacije. Za postupak optimizacije odabran je na opoziciji baziran genetski algoritam diferencijske evolucije s ciljem učinkovite pretrage optimalnog rješenja. Učinkovitost predloženog pristupa provjerena je primjenom komutacijske sheme srednjenaponske distributivne mreže na IEEE-33 sabirnici ba...

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Systematic procedures for sizing photovoltaic pumping system, using water tank storage

Cited by 84 publications

References 27 publications

The Potential of Solar Energy for Sustainable Water Resource Development and Averting National Social Burden in Rural Areas of Zambia

The Potential of Solar Energy for Sustainable Water Resource Development and Averting National Social Burden in Rural Areas of Zambia

New Computing Method for Techno-Economic Analysis of the Photovoltaic Water Pumping System Using Fuzzy based NSGAII Optimization Approach

Combined Reconfiguration and Capacitor Placement for Distribution System Volt/Var Control through Opposition based Differential Evolution Algorithm

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