scholarly journals Multiobjective Optimization Model considering Demand Response and Uncertainty of Generation Side of Microgrid

2020 ◽  
Vol 2020 ◽  
pp. 1-14
Author(s):  
Hanfang Li ◽  
Huaqing Wang ◽  
Jinghan Zhou ◽  
Zhongfu Tan ◽  
Jiacheng Yang ◽  
...  
Keyword(s):  
Demand Response ◽  
Optimization Model ◽  
Peak Shaving ◽  
Response Models ◽  
Scenario Reduction ◽  
Renewable Power ◽  
Output Uncertainty ◽  
Single Target ◽  
Renewable Power Generation ◽  
The Impact

To make better use of renewable power generation, a microgrid system is constructed, containing a multitype power supply and a multienergy storage structure. A multiobjective scheduling optimization model is proposed considering MS differential cost, power abandonment cost, and operation income, and demand response models are introduced to improve the ability of storage and users’ participating in peak shaving. To solve the uncertainty of WPP and PV’s output, the scenario reduction method is adopted, and a single target conversion of multiobjective functions is made through a desion attribute table. The results show that scenario reduction can put a brake on the impact of WPP and PV’s output uncertainty on system dispatch; demand response helps solve the problem of poor matching between the source and load. ESS’s co-operative effect can improve the system’s stability.

scholarly journals Impact of demand response on BIPV and district multi-energy systems design in Singapore and Switzerland

2021 ◽  
Vol 2042 (1) ◽  
pp. 012096
Author(s):  
Christoph Waibel ◽  
Shanshan Hsieh ◽  
Arno Schlüter
Keyword(s):  
Demand Response ◽  
Programming Model ◽  
Systems Design ◽  
Energy Systems ◽  
Mixed Integer ◽  
Peak Shaving ◽  
Climate Conditions ◽  
Building Integrated Photovoltaics ◽  
Energy Hub ◽  
The Impact

Abstract This paper demonstrates the impact of demand response (DR) on optimal multi-energy systems (MES) design with building integrated photovoltaics (BIPV) on roofs and façades. Building loads and solar potentials are assessed using bottom-up models; the MES design is determined using a Mixed-Integer Linear Programming model (energy hub). A mixed-use district of 170,000 m2 floor area including office, residential, retail, education, etc. is studied under current and future climate conditions in Switzerland and Singapore. Our findings are consistent with previous studies, which indicate that DR generally leads to smaller system capacities due to peak shaving. We further show that in both the Swiss and Singapore context, cost and emissions of the MES can be reduced significantly with DR. Applying DR, the optimal area for BIPV placement increases only marginally for Singapore (~1%), whereas for Switzerland, the area is even reduced by 2-8%, depending on the carbon target. In conclusion, depending on the context, DR can have a noticeable impact on optimal MES and BIPV capacities and should thus be considered in the design of future, energy efficient districts.

scholarly journals Zonotope-based quantification of the impact of renewable power generation on hybrid AC/DC distribution system

2019 ◽  
Vol 2019 (16) ◽  
pp. 2493-2499
Author(s):  
Jianing Gao ◽  
Bei Han ◽  
Chenbo Xu ◽  
Lijun Zhang ◽  
Guojie Li ◽  
...  
Keyword(s):  
Power Generation ◽  
Distribution System ◽  
Renewable Power ◽  
Dc Distribution ◽  
Renewable Power Generation ◽  
The Impact

The future need for flexibility and the impact of fluctuating renewable power generation

2020 ◽  
Vol 149 ◽  
pp. 1314-1324 ◽  
Author(s):  
Christoph Brunner ◽  
Gerda Deac ◽  
Sebastian Braun ◽  
Christoph Zöphel
Keyword(s):  
Power Generation ◽  
Renewable Power ◽  
Renewable Power Generation ◽  
The Future ◽  
The Impact
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