scholarly journals Energy Storage Economic Optimization Scheduling Method for Multi-Scene Demand of Peak and Frequency Modulation

Energies ◽  
2021 ◽  
Vol 14 (24) ◽  
pp. 8605
Author(s):  
Wen Wei ◽  
Yali Wang ◽  
Shuangfeng Dai ◽  
Changqing Chen ◽  
Lei Chen
Keyword(s):  
Energy Storage ◽  
Frequency Modulation ◽  
Control Method ◽  
Recovery Period ◽  
Operating Cost ◽  
Utilization Rate ◽  
Net Income ◽  
Economic Optimization ◽  
Scheduling Method ◽  
Optimization Scheduling

energy storage (ES) only contributes to a single-scene (peak or frequency modulation (FM)) control of the power grid, resulting in low utilization rate and high economic cost. Herein, a coordinated control method of peak modulation and FM based on the state of ES under different time scales is proposed. Firstly, for monotone peak and FM control scenarios, the ES configuration and scheduling model is constructed with the goal of maximizing net profit. Secondly, to further improve the ES utilization rate and optimize the operating cost of ES, a cooperative control method of peak modulation and FM is proposed. This method can realize the switch between peak modulation and FM control of ES and improve the ES utilization rate and system economy. Finally, the simulation results show that, compared with that of mono-peak and single-FM control, the ES efficiency of the peak-FM multiscenario optimization scheduling method is improved by 16.25% and 37.29%, respectively. The annual net income is increased by €28,021.50, the investment recovery period is shortened by 0.27 years, and the ES configuration economy is effectively improved.

scholarly journals Peak Shaving and Frequency Regulation Coordinated Output Optimization Based on Improving Economy of Energy Storage

Electronics ◽  
2021 ◽  
Vol 11 (1) ◽  
pp. 29
Author(s):  
Daobing Liu ◽  
Zitong Jin ◽  
Huayue Chen ◽  
Hongji Cao ◽  
Ye Yuan ◽  
...  
Keyword(s):  
Energy Storage ◽  
Control Method ◽  
Economic Benefits ◽  
Economic Problem ◽  
Frequency Regulation ◽  
Cost Models ◽  
Optimization Strategy ◽  
Economic Optimization ◽  
Peak Shaving ◽  
Electricity Cost

In this paper, a peak shaving and frequency regulation coordinated output strategy based on the existing energy storage is proposed to improve the economic problem of energy storage development and increase the economic benefits of energy storage in industrial parks. In the proposed strategy, the profit and cost models of peak shaving and frequency regulation are first established. Second, the benefits brought by the output of energy storage, degradation cost and operation and maintenance costs are considered to establish an economic optimization model, which is used to realize the division of peak shaving and frequency regulation capacity of energy storage based on peak shaving and frequency regulation output optimization. Finally, the intra-day model predictive control method is employed for rolling optimization. An intra-day peak shaving and frequency regulation coordinated output optimization strategy of energy storage is proposed. Through the example simulation, the experiment results show that the electricity cost of the whole day is reduced by 10.96% by using the coordinated output strategy of peak shaving and frequency regulation. The obtained further comparative analysis results and the life cycle economic analysis show that the profit brought by the proposed coordinated output optimization strategy is greater than that for separate peak shaving or frequency modulation of energy storage under the same capacity.

The Research of Multi-Car Elevator Control Method Based on PSO-GA

2014 ◽  
Vol 556-562 ◽  
pp. 2418-2421 ◽  
Author(s):  
Jian Liu ◽  
Zi Long Bai ◽  
Meng Hua Gu ◽  
Xu Zhang ◽  
Rui Zhang
Keyword(s):  
Control Method ◽  
Simulation Analysis ◽  
Scheduling Algorithm ◽  
Utilization Rate ◽  
Particle Swarm Algorithm ◽  
Algorithm Optimization ◽  
High Rise ◽  
Scheduling Method ◽  
A New Technique ◽  
Elevator Group Control

Multi-car elevator system is a new technique which can reduce the occupied area and improve the transport efficiency in the high-rise and super high-rise buildings. It is remain to be studied in both the control strategy and scheduling method compared with the traditional single elevator group control system, In order to improve the utilization rate and shorten the waiting time, the particle swarm algorithm PSO and GA genetic algorithm optimization control method are studied aiming at the rationality of scheduling strategy of the rationality of elevator. Combining the advantages of two algorithms proposed a novel optimal scheduling algorithm for PSO-GA and carried on simulation analysis, the experimental results demonstrate the effectiveness of the new method of improved PSO-GA.

scholarly journals Operational optimization of a building-level integrated energy system considering additional potential benefits of energy storage

2021 ◽  
Vol 6 (1) ◽  
Author(s):  
Sai Liu ◽  
Cheng Zhou ◽  
Haomin Guo ◽  
Qingxin Shi ◽  
Tiancheng E. Song ◽  
...  
Keyword(s):  
Energy Storage ◽  
Operating Cost ◽  
Economic Cost ◽  
Energy System ◽  
Peak Shaving ◽  
Operational Optimization ◽  
Integrated Energy System ◽  
Potential Benefits ◽  
The Times ◽  
Building Level

AbstractAs a key component of an integrated energy system (IES), energy storage can effectively alleviate the problem of the times between energy production and consumption. Exploiting the benefits of energy storage can improve the competitiveness of multi-energy systems. This paper proposes a method for day-ahead operation optimization of a building-level integrated energy system (BIES) considering additional potential benefits of energy storage. Based on the characteristics of peak-shaving and valley-filling of energy storage, and further consideration of the changes in the system’s load and real-time electricity price, a model of additional potential benefits of energy storage is developed. Aiming at the lowest total operating cost, a bi-level optimal operational model for day-ahead operation of BIES is developed. A case analysis of different dispatch strategies verifies that the addition of the proposed battery scheduling strategy improves economic operation. The results demonstrate that the model can exploit energy storage’s potential, further optimize the power output of BIES and reduce the economic cost.

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