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[IEEE 2018 IEEE 7th World Conference on Photovoltaic Energy Conversion (WCPEC) (A Joint Conference of 45th IEEE PVSC, 28th PVSEC & 34th EU PVSEC) - Waikoloa Village, HI (2018.6.10-2018.6.15)] 2018 IEEE 7th World Conference on Photovoltaic Energy Conversion (WCPEC) (A Joint Conference of 45th IEEE PVSC, 28th PVSEC & 34th EU PVSEC) - Optimal Use of Distributed Resources to Control Energy Variances in Microgrids
摘要： This paper presents the optimization of distributed energy resources in a community microgrid. An optimal power flow is used to determine the optimal allocation of resources using an evolutionary programming method, achieving the lowest cost of supplying the demand while accounting for physical and operational constraints. The energy variances were managed and controlled within the microgrid. Different scenarios of high integration of distributed resources were studied using the algorithm. The utility could be used to supply a constant energy block or for backup power. The algorithm was successfully used to allocate resources while achieving a high load factor value.
关键词： Demand Response,Distributed Energy Resources,Optimal Power Flow,Microgrids,Photovoltaic Systems,Battery Storage Systems
更新于2025-09-11 14:15:04
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Solar Energy, dc Distribution, and Microgrids: Ensuring Quality Power in Rural India
摘要： Ensuring quality power in rural India. As the Leisang village in Manipur received electricity in April 2018, the prime minister of India announced that every Indian village is now electrified. A village is considered electrified in India when 10% of its homes receive electricity. However, the number of village homes that have electricity has now reached 84%, with some 41 million households still without power. This village-electrification program has been going on for many years. Until a few years back, there was a large shortage of power with power demand exceeding supply, leading to no/a weak push to extend the grid to the village. Over the last few years, when more coal power plants became operational, the supply strengthened. At the same time, the energy costs for the solar and wind power-attained grid parity, enabling the addition of significant renewable power. Simultaneously, the power grid was strengthened, and India attained a single national grid on 31 December 2013, such that power generated in surplus areas could be transported to deficit regions. All of this helped in surplus power generation because the demand did not pick up much in recent years. The social obligation to extend the electric grid to each village and then to at least 10% of its homes no longer had a fundamental bottleneck. The target-driven approach of the prime minister’s office helped to expedite the effort.
关键词： dc Distribution,Rural Electrification,Solar Energy,India,Microgrids
更新于2025-09-11 14:15:04
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Scalable Solar dc Micrigrids: On the Path to Revolutionizing the Electrification Architecture of Developing Communities
摘要： There is a worldwide focus on the electrification of developing regions, as is evident from the sustainable development goals (SDGs) of the United Nations. In particular, the aim of SDG 7 is to ensure universal access to affordable, reliable, sustainable, and modern energy services for all by 2030. Because of these sustained efforts, more than 1 billion people worldwide have gained access to electricity since 2000. During this course, the electrification architecture of developing regions has taken different forms, ranging from extensive utility grid extensions to limited off-grid solutions. Off-grid solutions generally offer cost-effective and lower up-front cost alternatives in comparison to utility grid extensions and are deemed more suitable for developing economies. In developing economies, these off-grid electrification solutions have evolved from individual solar home-based systems to community-based microgrids in pursuit of achieving higher efficiency and reliability on a village scale. Community grids responsible for the electrification of developing regions are further categorized based on architecture, type of generation, and mode distribution.
关键词： sustainable development goals,electrification,rural electrification,solar PV,developing regions,dc microgrids
更新于2025-09-09 09:28:46
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[IEEE 2018 7th International Conference on Renewable Energy Research and Applications (ICRERA) - Paris, France (2018.10.14-2018.10.17)] 2018 7th International Conference on Renewable Energy Research and Applications (ICRERA) - Cooperative Control and Power Management for Islanded Residential Microgrids with Local Phase-wise Generation and Storage Units
摘要： A cooperative control and management strategy for islanded residential microgrids is presented in this paper. In addition to the loads, PV generation and battery storage are considered within each phase using droop control schemes. The proposed strategy uses a two-tiered management scheme to coordinate intra- and inter-phase power management. Each intra-phase control relies on a modi?ed vector control with a multi-segment (P/f) droop strategy to balance the generation, load and potential power transfer among other two phases. The inter-phase management only comes into play when there is an imbalance among phases so that desirable power can be transferred to the phases with de?ciencies. This is accomplished by back-to-back converters connecting the phases. PSCAD/EMTDC has been used to investigate the performance of the proposed strategy. It is interesting to observe that when extra power is needed in one particular phase, the desired amount is transferred through the back-to-back converters from other phases. As a result, the balance for voltage, frequency, and power can be achieved at both the phase level and the system level.
关键词： single-phase systems,Residential microgrids,back-to-back converters,power electronics,power management
更新于2025-09-04 15:30:14
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Reduction of Forced Outages in Islanded Microgrids by Compensating Model Uncertainties in PV Rating and Battery Capacity
摘要： Energy management systems for islanded microgrids often rely on predictions of energy availability and usage. Such predictions can be used to plan actions, such as shedding non-essential loads, so that critical loads continue to be served. However, uncertainties in the prediction models may lead to incorrect decisions, and subsequently jeopardize reliable operation of the microgrid. For a photovoltaic (PV) and battery based microgrid, uncertainties in the PV rating and the battery capacity model parameters can lead to otherwise avoidable outages. In this paper, techniques have been developed to identify and compensate for such model uncertainties. The approach uses differences between the actual and predicted data sequences to determine compensation factors to improve prediction accuracy. The developed techniques account for operating condition changes automatically, and no additional sensors are needed for their implementation. The method has been evaluated using data from rooftop irradiance and temperature sensors and the corresponding forecasts. It has been shown that the proposed techniques can improve the accuracy of the predictions and hence lead to more effective energy management decisions. Together with a pre-emptive load shedding strategy, the total outage time of the microgrid can be shortened by as much as 11% for the chosen scenario.
关键词： Energy management,photovoltaic systems,prediction model uncertainties,microgrids
更新于2025-09-04 15:30:14
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[IEEE 2018 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC) - Kota Kinabalu, Malaysia (2018.10.7-2018.10.10)] 2018 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC) - Automated Planning of Rooftop PV Systems with Aerial Image Processing
摘要： The increasing prevalence of photovoltaic (PV) panels for microgrid and off-grid energy applications makes affordable PV planning an important issue. Since recording rooftop area and dimensions traditionally required on-site measurements, the process was expensive, slow, and hard to scale. This research develops software that uses image processing for roof detection. Satellite images feed into the software, which estimates the rooftop area receiving solar exposure in that area as well as the number of individual buildings receiving solar exposure. In this way, entire villages can be analyzed automatically, and PV installations planned from afar, rather than requiring a human taking measurements of each building from the ground. This research further develops a GUI to accomplish this rooftop classification for users around the globe, making this capability available even to parties with low resources who would benefit from access to electricity. In this way, the study makes planning PV systems feasible and affordable for many scales of installation, from a single home to a city of numerous assorted buildings.
关键词： demand forecasting,solar panels,object detection,photovoltaic systems,microgrids
更新于2025-09-04 15:30:14