Research Article
Monitoring and Effectiveness Analysis of a Hybrid PV Battery System in Real Conditions
Dominique Bonkoungou*,
Jacques Marie Ilboudo,
Abdoulaye Kabre,
Zacharie Koalaga
Issue:
Volume 12, Issue 6, December 2023
Pages:
75-83
Received:
13 October 2023
Accepted:
3 November 2023
Published:
21 November 2023
Abstract: The use of solar energy is a common subject of conversation, especially within the context of Sub-Saharan African local and national governments. Concerns about the challenges of sustainable development, as well as the desire to manage running expenses in the face of growing diesel prices, promote a close examination of the "solar PV battery" alternative for charging exploitation. In this paper, we provide a detail description of the 300 Wp of solar power erected at the University of Joseph KI-ZERBO. This autonomous PV system (APS) provides electricity to meet the basic electrical needs of the Laboratory of Materials and Environment (LAME), which was established for this purpose. A data acquisition campaign is conducted in order to operate and monitor the study's APS. The collected data used to examine the effectiveness characteristics of the APS are explained and discussed. The experimental results obtained throughout the measurement campaign revealed that the PV system functions normally, with PR values ranging from 82% to 98%. Then, a sensitivity study is performed using behavioral models related to the correlation coefficients, and the outcomes are compared to experimental evidence. The monthly average performance ratio with Lame Lab PV modules was 4.76 percent higher than the average performance ratio found in the literature.
Abstract: The use of solar energy is a common subject of conversation, especially within the context of Sub-Saharan African local and national governments. Concerns about the challenges of sustainable development, as well as the desire to manage running expenses in the face of growing diesel prices, promote a close examination of the "solar PV battery" alter...
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Research Article
A Multi-Perspective Modeling and Holistic Simulation Framework for the Energy Sector
Ignace Djitog,
Hamzat Olanrewaju Aliyu,
Youssouf Koné
Issue:
Volume 12, Issue 6, December 2023
Pages:
84-99
Received:
31 October 2023
Accepted:
30 November 2023
Published:
14 December 2023
Abstract: Energy has become a panacea for a rapid development of any modern human society. Non-renewable energy generation systems are put under tremendous pressure to transition toward a more sustainable energy that reduces impact on climate change while enhancing energy efficiency and securing energy supply. Energy systems however, exhibit complex dynamics leading in most cases to reductionist approach studies that mainly examine the components of the system in isolation. This paper proposes a multi-perspective modeling of the ES through a structural adjustment of its components using multiple formalisms as follows: (i) an ontology was built which is, a formal specification of energy simulation knowledge, based on agreed upon concepts and their relationships as found in the literature review of the energy simulation domain, (ii) a simulation framework was proposed around the identified perspectives that are most often discussed in findings of energy simulation. Each perspective is specified in a fitting formalism and represents a family of models with specific objectives that drive simulation studies of the energy sector, and (iii) an integration mechanism was developed to unify the isolated perspectives into an overall holistic model such that parameters are mutually influenced by one another in a live simulation for a comprehensive study of the energy sector. Results showed that power supply failure caused by persistent tripping of transmission line was due to a sudden increase in generation power plants. The failure was successfully re-adjusted through perspectives integration during live simulation to fit with the maximum wheeling capacity of the power transmission grid component. The updated values of the transmission parameters have also matched with the expected outputs of the consumption component parameters at the receiving end. Hence, the study has produced closer and efficient results for long-term performance evaluations of the energy demand fulfilment.
Abstract: Energy has become a panacea for a rapid development of any modern human society. Non-renewable energy generation systems are put under tremendous pressure to transition toward a more sustainable energy that reduces impact on climate change while enhancing energy efficiency and securing energy supply. Energy systems however, exhibit complex dynamics...
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Research Article
Research on Wind Energy Fluctuation Stabilization and Hybrid Energy Storage Capacity Optimization Strategy Based on EWD
Zhaorui Lv*,
Zhiyong Wang,
Changhe An
Issue:
Volume 12, Issue 6, December 2023
Pages:
100-108
Received:
28 November 2023
Accepted:
13 December 2023
Published:
22 December 2023
Abstract: With the increase of installed capacity of wind power in China, the randomness and fluctuation of wind power output power make the grid frequency modulation more difficult. To solve this problem, a hybrid energy storage system composed of lithium batteries and super-capacitors is used to stabilize the wind power output. This study focuses on the smoothing strategies and capacity configuration methods of hybrid energy storage system, which is of great significance to increase its utilization rate and reduce energy storage capacity. An empirical wavelet decomposition method is used to decompose the wind farm output power data and obtain the charging and discharging instructions of hybrid energy storage system. For the smoothing power of energy storage system, high frequency decomposition is carried out with the lowest cost as the target to obtain the capacity optimization strategy of different types of energy storage. This study also analyzes the typical 8-day output power data of a wind farm and optimizes the power and capacity allocation of lithium battery and supercapacitor through combining numerical examples with wind power system grid power calculation. The numerical examples verify the effectiveness of the proposed smoothing method and capacity optimization algorithm.
Abstract: With the increase of installed capacity of wind power in China, the randomness and fluctuation of wind power output power make the grid frequency modulation more difficult. To solve this problem, a hybrid energy storage system composed of lithium batteries and super-capacitors is used to stabilize the wind power output. This study focuses on the sm...
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