- 标题
- 摘要
- 关键词
- 实验方案
- 产品
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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 location identification for aggregated charging of electric vehicles in solar photovoltaic powered microgrids with reduced distribution losses
摘要： The battery-powered electric vehicle finds an alternative for fossil fuel-based vehicles in the transportation sector. The charge-discharge power profiles of the battery storage systems (BSS) contribute toward distribution losses, which can be minimized by proper scheduling. Such scheduling gives better results if the charging stations are optimally placed in the solar photovoltaic (PV) powered microgrid. This paper proposes a methodology to identify the optimal location to charge the electric vehicle in the microgrid. The proposed methodology has been developed using particle swarm optimization (PSO)-based optimal power flow (OPF) with an integrated power management (IPM) algorithm. The novelty of the IPM algorithm is the coordinated charging-discharging of the multiple numbers of aBSS of the EVs to reduce the overall distribution losses of the microgrid. The proposed methodology is tested in a standard solar PV powered microgrid network, where the optimal locations to charge the electric vehicles are identified. The daily distribution loss of the network is computed for all possible charging locations of the electric vehicle in the microgrid, and it is found that the distribution loss is minimum for the identified optimal locations. Also, to evaluate the effectiveness of the proposed methodology, the distribution loss analysis is carried out for three test cases; i) un-optimized power flow, ii) PSO based-OPF, and iii) PSO-based OPF with IPM. The case study shows that the PSO-based OPF gives 84% reduction in daily distribution loss compared to the conventional un-optimized power flow test case. The daily distribution loss is further reduced by 8% by incorporating the IPM algorithm in the PSO-based OPF. The utility can thereby encourage the electric vehicle (EV) owners to park their EVs at the optimal locations to reduce the distribution losses.
关键词： microgrid,particle swarm optimization,Battery storage systems,renewable generation,electric vehicle,optimal location
更新于2025-09-23 15:21:01
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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