A novel rolling optimization strategy considering grid-connected power fluctuations smoothing for renewable energy microgrids

2022 ◽  
Vol 309 ◽  
pp. 118441
Author(s):  
Shenglin Li ◽  
Jizhong Zhu ◽  
Hanjiang Dong ◽  
Haohao Zhu ◽  
Junwei Fan
Keyword(s):  
Renewable Energy ◽  
Optimization Strategy ◽  
Power Fluctuations ◽  
Rolling Optimization

scholarly journals A Hybrid PV-Battery System for ON-Grid and OFF-Grid Applications—Controller-In-Loop Simulation Validation

Energies ◽  
2020 ◽  
Vol 13 (3) ◽  
pp. 755 ◽  
Author(s):  
Umashankar Subramaniam ◽  
Sridhar Vavilapalli ◽  
Sanjeevikumar Padmanaban ◽  
Frede Blaabjerg ◽  
Jens Bo Holm-Nielsen ◽  
...  
Keyword(s):  
Renewable Energy ◽  
Energy Storage ◽  
Energy Systems ◽  
System Response ◽  
Renewable Energy Systems ◽  
Remote Locations ◽  
Power Fluctuations ◽  
Uninterruptible Power ◽  
Grid Side ◽  
Power Balancing

In remote locations such as villages, islands and hilly areas, there is a possibility of frequent power failures, voltage drops or power fluctuations due to grid-side faults. Grid-connected renewable energy systems or micro-grid systems are preferable for such remote locations to meet the local critical load requirements during grid-side failures. In renewable energy systems, solar photovoltaic (PV) power systems are accessible and hybrid PV-battery systems or energy storage systems (ESS) are more capable of providing uninterruptible power to the local critical loads during grid-side faults. This energy storage system also improves the system dynamics during power fluctuations. In present work, a PV-battery hybrid system with DC-side coupling is considered, and a power balancing control (PBC) is proposed to transfer the power to grid/load and the battery. In this system, a solar power conditioning system (PCS) acts as an interface across PV source, battery and the load/central grid. With the proposed PBC technique, the system can operate in following operational modes: (a) PCS can be able to work in grid-connected mode during regular operation; (b) PCS can be able to charge the batteries and (c) PCS can be able to operate in standalone mode during grid side faults and deliver power to the local loads. The proposed controls are explained, and the system response during transient and steady-state conditions is described. With the help of controller-in-loop simulation results, the proposed power balancing controls are validated, for both off-grid and on-grid conditions.

scholarly journals A Two-Stage PV Accommodation Optimization in Jinzhai County, Anhui Province with Hydropower as Stand-By Unit

2021 ◽  
Vol 252 ◽  
pp. 01017
Author(s):  
Tianyi Liu ◽  
Hai Bao
Keyword(s):  
Renewable Energy ◽  
Poverty Alleviation ◽  
Power Loss ◽  
Thermal Power ◽  
Anhui Province ◽  
Reserve Capacity ◽  
Optimization Strategy ◽  
Two Stage ◽  
Second Stage ◽  
Grid Operation

In respond to the national “Photovoltaic Poverty Alleviation” and renewable energy accommodation policy, this paper proposes a two-stage PV accommodation optimization strategy based on improved PSO, PV forecast, and hydropower dispatch to tackle with the instability caused by distributed PV, since Jinzhai County, Anhui Province has both sufficient hydropower and photovoltaic. In the first stage, the hydropower reserve capacity of each period of the next day is optimized according to the PV forecast. In the second stage, real-time online optimization is carried out using the operation data to determine the amount of power generated by each PV source during each period. Finally, the optimization strategy is verified by simulations using grid operation data in Jinzhai, and the comparison is made with the thermal power standby unit. The results show that the hydropower units which has higher climbing rate can immensely increase the photovoltaic consumption, reduce the power loss and enhance the voltage stability of the network.

scholarly journals The Effect of a Renewable Energy Certificate Incentive on Mitigating Wind Power Fluctuations: A Case Study of Jeju Island

2019 ◽  
Vol 9 (8) ◽  
pp. 1647
Author(s):  
Woong Ko ◽  
Jaeho Lee ◽  
Jinho Kim
Keyword(s):  
Renewable Energy ◽  
Power Systems ◽  
Wind Power ◽  
Wind Farm ◽  
Optimization Problems ◽  
Mixed Integer ◽  
Renewable Portfolio Standard ◽  
Flexible Resources ◽  
Power Fluctuations ◽  
Revenue Models

As renewable energy penetration in power systems grows, adequate energy policies are needed to support the system’s operations with flexible resources and to adopt more sustainable energies. A peak-biased incentive for energy storage systems (ESS) using the Korean renewable portfolio standard could make power system operations more difficult. For the first time in the research, this study evaluates the effect of imposing a renewable energy certificate incentive in off-peak periods on mitigating wind power fluctuations. We design a coordinated model of a wind farm with an ESS to model the behavior of wind farm operators. Optimization problems are formulated as mixed integer linear programming problems to test the implementation of revenue models under Korean policy. These models are designed to consider additional incentives for discharging the ESS during off-peak periods. The effects of imposing the incentives on wind power fluctuations are evaluated using the magnitude of the renewable energy certificate (REC) multiplier.

scholarly journals Multi-Objective Optimization of Off-Grid Hybrid Renewable Energy Systems in Buildings with Prior Design-Variable Screening

Energies ◽  
2019 ◽  
Vol 12 (15) ◽  
pp. 3026 ◽  
Author(s):  
Paolo Conti ◽  
Giovanni Lutzemberger ◽  
Eva Schito ◽  
Davide Poli ◽  
Daniele Testi
Keyword(s):  
Renewable Energy ◽  
Design Problem ◽  
Net Present Value ◽  
Renewable Energy Sources ◽  
Optimization Strategy ◽  
Multi Objective Optimization ◽  
Multi Objective ◽  
Specific Investment ◽  
Design Variables ◽  
Electrochemical Storage

This work presents an optimization strategy and the cost-optimal design of an off-grid building served by an energy system involving solar technologies, thermal and electrochemical storages. Independently from the multi-objective method (e.g., utility function) and algorithm used (e.g., genetic algorithms), the optimization of this kind of systems is typically characterized by a high-dimensional variables space, computational effort and results uncertainty (e.g., local minimum solutions). Instead of focusing on advanced optimization tools to handle the design problem, the dimension of the full problem has been reduced, only considering the design variables with a high “effect” on the objective functions. An off-grid accommodation building is presented as test case: the original six-variable design problem consisting of about 300,000 possible configurations is reduced to a two-variable problem, after the analysis of 870 Monte Carlo simulations. The new problem includes only 220 possible design alternatives with a clear benefit for the multi-objective optimization algorithm. The energy-economy Pareto frontiers obtained by the original and the reduced problems overlap, showing the validity of the proposed methodology. The No-RES (no renewable energy sources) primary energy consumption can be reduced up to almost 0 kWh/(m2yr) and the net present value (NPV) after 20 years can reach 70 k€ depending on the number of photovoltaic panels and electrochemical storage size. The reduction of the problem also allows for a plain analysis of the results and the drawing of handy decision charts to help the investor/designer in finding the best design according to the specific investment availability and target performances. The configurations on the Pareto frontier are characterized by a notable electrical overproduction and a ratio between the two main design variables that goes from 4 to 8 h. A sensitivity analysis to the unitary price of the electrochemical storage reveals the robustness of the sizing criterion.

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