Author:
Ju Yuntao,Jin Mingxin,Wang Jiankai,Yang Jianhua,Dong Mingyu,Li Dezhi,Shi Kun,Zhang Haibo
Abstract
With the growth in demand for energy and the boom in energy internet (EI) technologies, comes the multi-energy complementary system. In this paper, we first model the components of the micro-energy-grid for a greenhouse, and then analyzed two types of protected agriculture load: time-shifting load and non-time-shifting load. Next, multi-scenario technology is directed against the uncertainty of photovoltaic (PV). Latin Hypercube Sampling (LHS) and the backward reduction algorithm are the two main methods we use to generate the representative scenarios and their probabilities, which are the basis for PV prediction in day-ahead scheduling. Third, besides the time of day (TOD) tariff, we present a model using real-time pricing of consumers’ electricity load, which is proposed to compare consumers’ demand response (DR). Finally, we establish a new optimization model of micro-energy-grid for greenhouses. By calculating the dispatch of electricity, heat, energy storage and time-shifting load under different conditions, the local consumption of PV and the comprehensive operational cost of micro-energy-grid can be analyzed. The results show that a storage device, time-shifting load and real-time pricing can bring more possibilities to the micro-energy-grid. By optimizing the time schedule of time-shifting load, the cost of the greenhouse is reduced.
Funder
National Natural Science Foundation of China
State Key Laboratory Of Alternate Electrical Power System With Renewable Energy Sources
Beijing Key Laboratory of Demand Side Multi-Energy Carriers Optimization and Interaction Technique
Subject
Fluid Flow and Transfer Processes,Computer Science Applications,Process Chemistry and Technology,General Engineering,Instrumentation,General Materials Science
Reference32 articles.
1. A new principle of synthetic cascade utilization of chemical energy and physical energy
2. Prospects of Low-Carbon Electricity;Kang;Power Syst. Technol.,2009
3. Research Framework and Prospects of Low-carbon Multiple Energy Systems;Cheng;Proc. CSEE,2017
4. Combined analysis of electricity and heat networks
5. Energy hubs for the future
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