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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.
Yuntao Ju; Mingxin Jin; Jiankai Wang; Jianhua Yang; Mingyu Dong; Dezhi Li; Kun Shi; Haibo Zhang. Research on Optimal Dispatching Strategy for Micro-Energy-Grid of Protected Agriculture. Applied Sciences 2019, 9, 3929 .
AMA StyleYuntao Ju, Mingxin Jin, Jiankai Wang, Jianhua Yang, Mingyu Dong, Dezhi Li, Kun Shi, Haibo Zhang. Research on Optimal Dispatching Strategy for Micro-Energy-Grid of Protected Agriculture. Applied Sciences. 2019; 9 (18):3929.
Chicago/Turabian StyleYuntao Ju; Mingxin Jin; Jiankai Wang; Jianhua Yang; Mingyu Dong; Dezhi Li; Kun Shi; Haibo Zhang. 2019. "Research on Optimal Dispatching Strategy for Micro-Energy-Grid of Protected Agriculture." Applied Sciences 9, no. 18: 3929.
Due to the randomness of the intermittent distributed energy output and load demand of a micro-energy-grid, micro-sources cannot fully follow the day-ahead micro-energy-grid optimal dispatching plan. Therefore, a micro-energy-grid is difficult to operate steadily and is challenging to include in the response dispatch of a distribution network. In view of the above problems, this paper proposes an integrated optimal dispatch method for a micro-energy-grid based on model predictive control. In the day-ahead optimal dispatch, an optimal dispatch model of a micro-energy-grid is built taking the daily minimum operating cost as the objective function, and the optimal output curve of each micro-source of the next day per hour is obtained. In the real-time dispatch, rolling optimization of the day-ahead optimal dispatching plan is implemented based on model predictive control theory. The real-time state of the system is sampled, and feedback correction of the system is implemented. The influence of uncertain factors in the system is eliminated to ensure steady operation of the system. Finally, the validity and feasibility of the integrated optimal dispatching method are verified by a case simulation analysis.
Xin Zhang; Jianhua Yang; Weizhou Wang; Man Zhang; Tianjun Jing. Integrated Optimal Dispatch of a Rural Micro-Energy-Grid with Multi-Energy Stream Based on Model Predictive Control. Energies 2018, 11, 3439 .
AMA StyleXin Zhang, Jianhua Yang, Weizhou Wang, Man Zhang, Tianjun Jing. Integrated Optimal Dispatch of a Rural Micro-Energy-Grid with Multi-Energy Stream Based on Model Predictive Control. Energies. 2018; 11 (12):3439.
Chicago/Turabian StyleXin Zhang; Jianhua Yang; Weizhou Wang; Man Zhang; Tianjun Jing. 2018. "Integrated Optimal Dispatch of a Rural Micro-Energy-Grid with Multi-Energy Stream Based on Model Predictive Control." Energies 11, no. 12: 3439.
With a focus on the safe, stable, and economical operation of a micro energy grid and a distribution network, this study proposes a bi-level optimal model for the integrated operation of a micro energy grid and a distribution network. The upper model used the minima of three objectives, including the integrated operating cost of the distribution network, the network’s active power loss, and the standard deviation of the voltage deviation in the distribution network. The lower model used the minimum integrated operating cost for the micro energy grid as the objective function. Considering the large number of objectives in the upper model, and that no single optimal solution existed, the judgment-matrix method was used to obtain the weight factors of each objective, and the upper multi-objective optimization problem was transformed into a single-objective problem in this paper. A grey wolf optimization algorithm based on the dynamic adjustment of the proportional weight and convergence factor was proposed to solve the operating model of the distribution network comprising the micro energy grid. This algorithm offers a high solution precision, a high convergence speed, and a strong global searching ability. The nonlinear convergent factor formula proposed in this paper dynamically adjusted the global searching ability of the algorithm, while the proposed proportional weight sped up the convergence of the algorithm. The superiority of the proposed algorithm was verified mathematically by six test functions. The simulation results demonstrated that the model and algorithm proposed in this paper improved the economic benefits, and voltage stability of the distribution network, reduced the active power loss of the distribution network, and enabled the safe, stable, and economical operation of the distribution network comprising a micro energy grid.
Xin Zhang; Jianhua Yang; Weizhou Wang; Tianjun Jing; Man Zhang. Optimal Operation Analysis of the Distribution Network Comprising a Micro Energy Grid Based on an Improved Grey Wolf Optimization Algorithm. Applied Sciences 2018, 8, 923 .
AMA StyleXin Zhang, Jianhua Yang, Weizhou Wang, Tianjun Jing, Man Zhang. Optimal Operation Analysis of the Distribution Network Comprising a Micro Energy Grid Based on an Improved Grey Wolf Optimization Algorithm. Applied Sciences. 2018; 8 (6):923.
Chicago/Turabian StyleXin Zhang; Jianhua Yang; Weizhou Wang; Tianjun Jing; Man Zhang. 2018. "Optimal Operation Analysis of the Distribution Network Comprising a Micro Energy Grid Based on an Improved Grey Wolf Optimization Algorithm." Applied Sciences 8, no. 6: 923.
The grid structures, load levels, and running states of distribution networks in different supply regions are known as the influencing factors of energy loss. In this paper, the case library of energy loss is constructed to differentiate the crucial factors of energy loss in the different supply regions. First of all, the characteristic state values are selected as the representation of the cases based on the analysis of energy loss under various voltage classes and in different types of regions. Then, the methods of Grey Relational Analysis and the K-Nearest Neighbor are utilized to implement the critical technologies of case library construction, including case representation, processing, analysis, and retrieval. Moreover, the analysis software of the case library is designed based on the case library construction technology. Some case studies show that there are many differences and similarities concerning the factors that influence the energy loss in different types of regions. In addition, the most relevant sample case can be retrieved from the case library. Compared with the traditional techniques, constructing a case library provides a new way to find out the characteristics of energy loss in different supply regions and constitutes differentiated loss-reducing programs.
Ze Yuan; Weizhou Wang; Jing Peng; Fuchao Liu; Jianhua Yang. Case Library Construction Technology of Energy Loss in Distribution Networks Considering Regional Differentiation Theory. Energies 2017, 10, 1861 .
AMA StyleZe Yuan, Weizhou Wang, Jing Peng, Fuchao Liu, Jianhua Yang. Case Library Construction Technology of Energy Loss in Distribution Networks Considering Regional Differentiation Theory. Energies. 2017; 10 (11):1861.
Chicago/Turabian StyleZe Yuan; Weizhou Wang; Jing Peng; Fuchao Liu; Jianhua Yang. 2017. "Case Library Construction Technology of Energy Loss in Distribution Networks Considering Regional Differentiation Theory." Energies 10, no. 11: 1861.