Multi-objective optimization framework of a photovoltaic-diesel generator hybrid energy system considering operating reserve

Movahediyan, Zahra; Askarzadeh, Alireza

doi:10.1016/j.scs.2018.05.002

Cited by 77 publications

(39 citation statements)

References 23 publications

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“…Results showed that the reliability of the system can be increased by penetrating more renewable energy resources. Movahediyan et al 19 investigated a hybrid PV and diesel generator energy system by considering total system cost, CO 2 emission, and the probability of loss of power supply as an objective function. The output power of the DG and the PV area was considered as decision variables.…”

Section: Literature Survey and Contributionmentioning

confidence: 99%

“…Supply-demand equality constraint mentioned in Equation 14is expressed using Equation (27). The C s , H s , U s , and V s matrices in the compact matrix form express the matrices in Equations (16), (18), (19), (20), and (21) of the optimization problem described Section 3. The vector d s in Equation (27) represents the demand expressed in Equation (22).…”

Section: Compact Matrix Formmentioning

confidence: 99%

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Hybrid wind‐solar grid‐connected system planning using scenario aggregation method

Abuelrub

Al‐Masri

Singh

2020

Int Trans Electr Energ Syst

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Summary Hybrid PV‐wind distribution system planning is challenging due to the uncertainties of the system components. Therefore, this paper presents a novel optimization procedure based on scenario aggregation (SA) approach for the planning of such a distribution system. The proposed procedure uses random distributions, which are built for each time step, to model the system uncertainties. System uncertainties include solar irradiance, wind velocity, system load, and energy market price. The objective function of the optimization problem measures the annual cost of the proposed system. Results of the suggested SA optimization procedure are then compared with results of two‐stage stochastic programming (SP) to verify the effectiveness of the proposed method. A case study for a grid‐connected hybrid PV‐wind distribution system in North Texas is presented to illustrate the proposed method. One‐year system components' data are collected to create the stochastic distributions needed to represent system uncertainties. The results of the SP give optimal system configuration that minimizes the system annual cost and meets reliability and load requirements of the proposed system. These results are compared with those obtained using the simpler SA approach. The case study shows that the proposed SA method gives close results compared with two‐stage SP when the uncertainty of the system is reasonable.

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Section: Literature Survey and Contributionmentioning

confidence: 99%

Section: Compact Matrix Formmentioning

confidence: 99%

Hybrid wind‐solar grid‐connected system planning using scenario aggregation method

Abuelrub

Al‐Masri

Singh

2020

Int Trans Electr Energ Syst

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“…To increase the accuracy of the economic calculations there are important parameters since the rate of the interest, the inflation rate, and the escalation rate. The NPC can be calculated as follows [21,22]:…”

Section: Net Present Costmentioning

confidence: 99%

Design of Hybrid Microgrid PV/Wind/Diesel/Battery System: Case Study for Rabat and Baghdad

Kharrich¹,

Mohammed²,

Akherraz³

2018

EAI Endorsed Transactions on Energy Web

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The hybrid small grid system is a solution to many economic and environmental problems. The pre-feasibility of the project is a necessary step to validate the implementation of any project. Microgrid hybrid systems (consisting of PV, wind turbines, diesel generators, and battery storage) were examined in two countries to determine their optimal economic and size. In this paper, the technical-economic was implemented as an objective function based on net present cost NPC, with respecting many constraints such as LPSP, availability, and the renewable fraction. The optimization performed using a smart and efficient algorithm called the PSO algorithm. The results indicate that the building of a microgrid hybrid system in Baghdad is more economical compared to Rabat with the same corresponding components of renewable energies and load capacity. The resulting total showed that the cost of the project reached 31K dollars for the city of Baghdad, while the cost touched 43K dollars for the city of Rabat.

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“…The authors concluded that their method is more optimal than a previous GA-based method. However, the authors did not report how efficient the algorithm was execution time-wise.On the other hand, AI-based optimization methods were utilized for hybrid renewable systems sizing as well such as PSO, crow searching algorithm [24][25][26]. In these researches, a similar methodology was followed whereas three main objective functions were adapted, which are LSPS, TNPC, and the CO2 emission.A recent review highlights the need for new, fast, and accurate sizing methods [27].…”

mentioning

confidence: 99%

“…On the other hand, AI-based optimization methods were utilized for hybrid renewable systems sizing as well such as PSO, crow searching algorithm [24][25][26]. In these researches, a similar methodology was followed whereas three main objective functions were adapted, which are LSPS, TNPC, and the CO2 emission.…”

mentioning

confidence: 99%

Optimal Sizing of Standalone Photovoltaic System Using Improved Performance Model and Optimization Algorithm

Khatib

Muhsen

2020

Sustainability

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A standalone photovoltaic system mainly consists of photovoltaic panels and battery bank. The use of such systems is restricted mainly due to their high initial costs. This problem is alleviated by optimal sizing as it results in reliable and cost-effective systems. However, optimal sizing is a complex task. Artificial intelligence (AI) has been shown to be effective in PV system sizing. This paper presents an AI-based standalone PV system sizing method. Differential evolution multi-objective optimization is used to find the optimal balance between system’s reliability and cost. Two objective functions are minimized, the loss of load probability and the life cycle cost. A numerical algorithm is used as a benchmark for the proposed method’s speed and accuracy. Results indicate that the AI algorithm can be successfully used in standalone PV systems sizing. The proposed method was roughly 27 times faster than the numerical method. Due to AI algorithm’s random nature, the proposed method resulted in the exact optimal solution in 6 out of 12 runs. Near-optimal solutions were found in the other six runs. Nevertheless, the nearly optimal solutions did not introduce major departure from optimal system performance, indicating that the results of the proposed method are practically optimal at worst.

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Multi-objective optimization framework of a photovoltaic-diesel generator hybrid energy system considering operating reserve

Cited by 77 publications

References 23 publications

Hybrid wind‐solar grid‐connected system planning using scenario aggregation method

Hybrid wind‐solar grid‐connected system planning using scenario aggregation method

Design of Hybrid Microgrid PV/Wind/Diesel/Battery System: Case Study for Rabat and Baghdad

Optimal Sizing of Standalone Photovoltaic System Using Improved Performance Model and Optimization Algorithm

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