Design and operation optimization of city-level off-grid hydro–photovoltaic complementary system

2022 ◽  
Vol 306 ◽  
pp. 118000
Author(s):  
Bo Zhang ◽  
Rui Qiu ◽  
Qi Liao ◽  
Yongtu Liang ◽  
Haoran Ji ◽  
...  
2020 ◽  
Vol 62 ◽  
pp. 102369 ◽  
Author(s):  
Yizhe Xu ◽  
Chengchu Yan ◽  
Huifang Liu ◽  
Jin Wang ◽  
Zhang Yang ◽  
...  

2021 ◽  
Vol 11 (11) ◽  
pp. 5218
Author(s):  
Matteo Zatti ◽  
Matteo Moncecchi ◽  
Marco Gabba ◽  
Alberto Chiesa ◽  
Filippo Bovera ◽  
...  

Energy communities (EC) are expected to have a pivotal role to reach European decarbonization targets. One of the key aspects is the regulatory framework adopted by each Member State to properly manage such new customers’ aggregation. The paper firstly provides an updated overview of the EC regulation, focusing on the current Italian legislation. Next, a novel methodology for the design and management of energy community initiatives is proposed. The procedure firstly solves a design and operation optimization problem to calculate the best size of energy assets (boiler, heat pump, photovoltaic, thermal storage) to be installed. Second, a Shapley value-based approach is exploited to distribute a part of the community’s incomes to members, based on their contribution to the overall welfare. Results demonstrate that the adopted methodology is effective in ensuring a proper cash flow for the community, while pushing its members towards energy efficient behaviors.


CICTP 2019 ◽  
2019 ◽  
Author(s):  
Xuanliang Shen ◽  
Xiaolei Ma ◽  
Zhao Zhang ◽  
Yuelong Su ◽  
Zhenning Dong

2014 ◽  
Vol 631-632 ◽  
pp. 362-366
Author(s):  
Ning Ling Wang ◽  
Yong Zhang ◽  
Long Fei Zhu ◽  
Zhi Ping Yang

An accurate and reliable energy-consumption model is the key to operation optimization and energy-saving diagnosis of thermal power units especially under different operation conditions and boundaries. Conventional mathematical and data-driven modeling methods were overviewed and compared in this paper. A hybrid modeling based on thermodynamic theory and fuzzy rough set (FRS) method was proposed to process the great volume of operation data and describe the energy-consumption behavior of thermal power units. On this basis, the operation optimization was performed with intelligent computation methods to derive the realizable benchmark state with the whole set of operation parameters. The resultant optimum operation state reflects the exterior factors and system behavior, taking practical guidelines for the modeling and optimization of large thermal power units.


2014 ◽  
Vol 672-674 ◽  
pp. 1085-1089
Author(s):  
Jia Meng ◽  
Zai Lin Piao ◽  
Feng Zhou

The access of DG changes the operation and structure of traditional distribution network. This study mainly focused on controlling DG output current to reduce network loss of the system. Select a simple radial distribution system as example for theoretical analysis and derive the expressions of load current and node voltage. Assuming that there exists a real number k between DG output current and load. Then list the network loss and voltage deviation expressions. For the purpose of operation optimization, k can be determined by mathematical calculations. It proves that the method has a certain rationality to be effective in controlling network loss.


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