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Sizing and improved grid integration of residential PV systems with heat pumps and battery storage systems
摘要： In the future, the remuneration of photovoltaic (PV) grid feed-in might significantly drop in Germany and questions arise if small-scale PV systems remain economically attractive. However, battery storage systems (BSSs) and sector coupling with heat pumps (HPs) provide promising opportunities to increase PV self-consumption and the value of local energy generation, but change the dynamics of PV grid integration. Thus, an optimization model is proposed to enable all involved stakeholders to analyze interdependencies between different flexibility options for PV systems, incentive and grid integration. A case study-based approach allows an efficient evaluation of future PV systems with BSSs and HPs, the impact of such decentralized power-heat-storage systems on grid integration as well as proper incentive setting for sector coupling. The analysis shows that such shifting technologies are required to avoid undersizing of PV systems. BSSs only provide a benefit for the adoption of inflexible HPs, which is not preferable from a grid integration point of view. Operational incentives, such as peak charges and PV feed-in limits, offer a chance to foster PV grid integration and use new flexibilities in a grid-supporting way. The adoption of market-oriented operation leads to small benefit for such systems, which heavily rely on PV self-consumption.
关键词： Power system planning,Heat pumps,Battery storage systems,Photovoltaic systems,Grid integration
更新于2025-09-23 15:22:29
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Optimal power flow of power systems with controllable wind‐photovoltaic energy systems via differential evolutionary particle swarm optimization
摘要： The produced energy from varied sources in modern power systems is to be optimally planned for planning and operating of power system under the determined limit conditions. Recently, the rising overall people population of the world, the increasing of people requirements, improvements of technology, and ecosystem and global climate changes have caused with the increasing of electric energy demand. One of the most important solution methods to meet this energy demand is considered as utilization of renewable energy sources (RESs) in power systems. The structure of power systems has become with the usage of RESs more complex. The optimal power flow (OPF) from planning and operation problems has converted to difficult problem with RESs integrated into modern power systems. This paper presents the OPF problem of power systems with a high penetration of controllable renewable sources. These kinds of sources are able to inject a determined power since they have a back-up unit (storage). Uncertain solar irradiance and wind speed are simulated via log-normal and Rayleigh probability distributions, respectively. The proposed OPF problem with controllable renewable sources is solved by the differential evolutionary particle swarm optimization (DEEPSO) algorithm. Simulations conducted on various test systems illustrate the effectiveness and efficiency of DEEPSO as compared with other algorithms including moth swarm algorithm, backtracking search algorithm, and differential search algorithm. In addition, the Wilcoxon signed-rank test is applied to show the supremacy, effectiveness, and robustness of DEEPSO algorithm.
关键词： power system planning,optimal power flow,solar energy,wind energy,optimization
更新于2025-09-12 10:27:22
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[IEEE 2017 IEEE 44th Photovoltaic Specialists Conference (PVSC) - Washington, DC (2017.6.25-2017.6.30)] 2017 IEEE 44th Photovoltaic Specialist Conference (PVSC) - Scalability of the Vector Quantization Approach for Fast QSTS Simulation
摘要： Quasi-static time-series (QSTS) provides the necessary simulation fidelity on the impact that new energy resources would have on a specific distribution system feeder. However, this simulation can often take 10-120 hours for a single study, on traditional computers. The vector quantization approach proposed in [1] demonstrated very attractive computational time reduction for feeders with limited number of input time-series profiles and few distribution system voltage control elements. In this work, we expend on this algorithm and address this issue to model feeders of any complexity while maintaining a high computational time reduction. We demonstrate a 98.7% reduction on a real distribution system feeder with 2969-bus, 3 load/PV profiles, and 8 voltage regulating elements.
关键词： power system simulation,power system planning,photovoltaic systems,smart grid
更新于2025-09-11 14:15:04