scholarly journals Stochastic Optimization Method for Energy Storage System Configuration Considering Self-Regulation of the State of Charge

2022 ◽  
Vol 14 (1) ◽  
pp. 553
Author(s):  
Delong Zhang ◽  
Yiyi Ma ◽  
Jinxin Liu ◽  
Siyu Jiang ◽  
Yongcong Chen ◽  
...  
Keyword(s):  
Energy Storage ◽  
Probability Distribution ◽  
Stochastic Optimization ◽  
Storage System ◽  
Self Regulation ◽  
Optimization Method ◽  
Energy Storage System ◽  
Distribution Model ◽  
The Impact ◽  
Pv Power Generation

Photovoltaic (PV) power generation has developed rapidly in recent years. Owing to its volatility and intermittency, PV power generation has an impact on the power quality and operation of the power system. To mitigate the impact caused by the PV generation, an energy storage (ES) system is applied to the PV plants. The capacity configuration and control strategy based on the stochastic optimization method have become an important research topic. However, the accuracy of the probability distribution model is insufficient and a stochastic optimization method is rarely used in a control strategy. In this paper, a stochastic optimization method for the energy storage system (ESS) configuration considering the self-regulation of the battery state of charge (SoC) is proposed. Firstly, to reduce the sampling error when typical scenarios of PV power are generated, a time-divided probability distribution model of the ultra-short-term predicted error of PV power is established. On this basis, to solve the problem that SoC reaches the threshold frequently, a self-regulation model of the SoC based on multiple scenarios is established, which can regulate the SoC according to rolling PV power prediction. A stochastic optimization configuration model of the energy storage system is constructed, which can reduce the impact of PV uncertainty on the configuration result. Finally, the proposed stochastic optimization method is validated. The fitting error of the time-divided probability distribution model is 15.61% lower than that of the t-distribution. The expected revenue of the optimal configuration in this paper is 8.86% higher than the scheme with a fixed probability distribution model, and 16.87% higher than without considering the stochastic optimization method.

scholarly journals Evaluation of a 1 MW, 250 kW-hr Battery Energy Storage System for Grid Services for the Island of Hawaii

Energies ◽  
2018 ◽  
Vol 11 (12) ◽  
pp. 3367 ◽  
Author(s):  
Karl Stein ◽  
Moe Tun ◽  
Keith Musser ◽  
Richard Rocheleau
Keyword(s):  
Energy Storage ◽  
Data Collection ◽  
Storage System ◽  
Energy Storage System ◽  
Fast Response ◽  
Lessons Learned ◽  
Battery Energy Storage ◽  
Utility Company ◽  
Battery Energy ◽  
The Impact

Battery energy storage systems (BESSs) are being deployed on electrical grids in significant numbers to provide fast-response services. These systems are normally procured by the end user, such as a utility grid owner or independent power producer. This paper introduces a novel research project in which a research institution has purchased a 1 MW BESS and turned ownership over to a utility company under an agreement that allowed the institution to perform experimentation and data collection on the grid for a multi-year period. This arrangement, along with protocols governing experimentation, has created a unique research opportunity to actively and systematically test the impact of a BESS on a live island grid. The 2012 installation and commissioning of the BESS was facilitated by a partnership between the Hawaii Natural Energy Institute (HNEI) and the utility owner, the Hawaiian Electric and Light Company (HELCO). After the test period ended, HELCO continued to allow data collection (including health testing). In 2018, after 8500 equivalent cycles, the BESS continues to operate within specifications. HNEI continues to provide HELCO with expertise to aid with diagnostics as needed. Details about the BESS design, installation, experimental protocols, initial results, and lessons learned are presented in this paper.

scholarly journals Demand Response Programs in Multi-Energy Systems: A Review

Energies ◽  
2020 ◽  
Vol 13 (17) ◽  
pp. 4332
Author(s):  
Morteza Vahid-Ghavidel ◽  
Mohammad Sadegh Javadi ◽  
Matthew Gough ◽  
Sérgio F. Santos ◽  
Miadreza Shafie-khah ◽  
...  
Keyword(s):  
Energy Storage ◽  
Demand Response ◽  
Storage System ◽  
Energy Systems ◽  
Energy Storage System ◽  
Consumer Participation ◽  
Diverse Range ◽  
Good Communication ◽  
Demand Response Programs ◽  
The Impact

A key challenge for future energy systems is how to minimize the effects of employing demand response (DR) programs on the consumer. There exists a diverse range of consumers with a variety of types of loads, such as must-run loads, and this can reduce the impact of consumer participation in DR programs. Multi-energy systems (MES) can solve this issue and have the capability to reduce any discomfort faced by all types of consumers who are willing to participate in the DRPs. In this paper, the most recent implementations of DR frameworks in the MESs are comprehensively reviewed. The DR modelling approach in such energy systems is investigated and the main contributions of each of these works are included. Notably, the amount of research in MES has rapidly increased in recent years. The majority of the reviewed works consider power, heat and gas systems within the MES. Over three-quarters of the papers investigated consider some form of energy storage system, which shows how important having efficient, cost-effective and reliable energy storage systems will be in the future. In addition, a vast majority of the works also considered some form of demand response programs in their model. This points to the need to make participating in the energy market easier for consumers, as well as the importance of good communication between generators, system operators, and consumers. Moreover, the emerging topics within the area of MES are investigated using a bibliometric analysis to provide insight to other researchers in this area.

scholarly journals Feasibility Analysis of Behind-the-Meter Energy Storage System According to Public Policy on an Electricity Charge Discount Program

2019 ◽  
Vol 11 (1) ◽  
pp. 186 ◽  
Author(s):  
Byuk-Keun Jo ◽  
Seungmin Jung ◽  
Gilsoo Jang
Keyword(s):  
Energy Storage ◽  
Storage Systems ◽  
Storage System ◽  
Participation Rate ◽  
Energy Storage System ◽  
Economic Feasibility ◽  
Demand Side ◽  
Energy Storage Systems ◽  
Study Results ◽  
The Impact

Energy storage systems are crucial in dealing with challenges from the high-level penetration of renewable energy, which has inherently intermittent characteristics. For this reason, various incentive schemes improving the economic profitability of energy storage systems are underway in many countries with an aim to expand the participation rate. The electricity charge discount program, which was introduced in 2015 in Korea, is one of the policies meant to support the economic feasibility of demand-side energy storage systems. This paper quantitatively evaluated the impact of the electricity charge discount program on the economic feasibility of behind-the-meter energy storage systems. In this work, we first summarized how electricity customers can benefit from behind-the-meter energy storage systems. In addition, we represented details of the structure that make up the electricity charge discount program, i.e., how the electricity charge is discounted through the discount scheme. An optimization problem that establishes a charge and discharge schedule of an energy storage system to minimize each consumer’s electricity expenditure was defined and formulated as well. The case study results indicated that the electricity charge discount program has improved the profitability of behind-the-meter energy storage systems, and this improved profitability led to investment in behind-the-meter energy storage systems in Korea. As a result of the electricity charge discount program, Korea’s domestic demand side energy storage system market size, which was only 27 billion dollars in 2015 in Korea, has grown to 825 billion dollars in 2018.

Unit Commitment Considering Wind Power and Electrochemical Energy Storage System

2013 ◽  
Vol 805-806 ◽  
pp. 387-392
Author(s):  
Zhi Cai ◽  
De Yue Men ◽  
Wei Dong ◽  
Sai Dai ◽  
Hui Cui ◽  
...  
Keyword(s):  
Energy Storage ◽  
Wind Power ◽  
Unit Commitment ◽  
Storage System ◽  
Energy Storage System ◽  
Electrochemical Energy Storage ◽  
Large Capacity ◽  
Variable Nature ◽  
The Impact ◽  
Electrochemical Energy

With the rapid development of wind power, electric grid faces significant challenges from the variable nature and anti-peak-regulation characteristic of wind power. In order to mitigate the impact of wind power, large capacity electrochemical energy storage is proposed to solve this problem. This study establishes a unit commitment (UC) model with large capacity electrochemical energy storage given the specific characteristics. Meanwhile, wind forecast deviation and curtailment are considered. Case studies with modified IEEE 39-bus system are employed to validate the proposed method. The impact of electrochemical energy storage system on economics, peak load shifting and accommodating wind power is analyzed.

Investigating the Impact of Hybrid Energy Storage System on Isolated Power System

2013 ◽  
Vol 397-400 ◽  
pp. 1923-1929
Author(s):  
Xin Zhi Wang ◽  
Li Xia ◽  
Chao Zhang
Keyword(s):  
Energy Storage ◽  
Power System ◽  
Compensation Effect ◽  
Storage System ◽  
Energy Storage System ◽  
System Stability ◽  
Hybrid Energy ◽  
Hybrid Energy Storage ◽  
Hybrid Energy Storage System ◽  
The Impact

Based on new ship isolated power system, the models of power station, loads and hybrid energy storage system (HESS) are built. Fuzzy control theory is adopted to control different energy storage modules (ESM) coordinately, effectively level the fluctuation of loads and improve system stability. Simulations in Matlab/Simulink investigate the impact of different control filter parameters on compensation effect of HESS, and the impact of ESMs performance on HESS compensation.

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