Enhancing Resource Allocation for Multi-Energy Storage Systems: A Comprehensive Approach Considering Supply and Demand Flexibility and Integration of New Energy
This study presents an innovative optimization method for resource scheduling in multi-energy storage systems, focusing on improving resource allocation while considering supply-demand flexibility and renewable energy integration. As renewable energy gains popularity and multi-energy systems become more complex, effective utilization of energy storage to achieve supply-demand balance, optimize energy scheduling, and maximize renewable energy integration is crucial. To address this challenge, a Markov dynamic model is developed to capture the dynamic changes in energy supply and demand within the multi-energy storage system. The model is then solved using a reinforcement learning approach to optimize resource scheduling decisions. Numerical simulations and case studies are conducted to validate the effectiveness and feasibility of the proposed method, showcasing its potential to enhance operational efficiency and reliability in multi-energy storage systems amidst constantly changing energy patterns. This research provides valuable insights and decision support for the design and operation of multi-energy storage systems, contributing to the advancement of sustainable energy utilization and promoting sustainable development in the energy sector.
- Research Article
2
- 10.1016/j.epsr.2025.111507
- Jun 1, 2025
- Electric Power Systems Research
Optimal operation of urban multi-energy system via coordination of waste resourceful utilization and multi-energy storage
- Research Article
109
- 10.17775/cseejpes.2019.00190
- Jun 1, 2019
- CSEE Journal of Power and Energy Systems
Based on decreasing the flexibility of the power grid through the integration of large-scale renewable energy, a multi-energy storage system architectural model and its coordination operational strategy with the same flexibility as in the pumped storage power station and battery energy storage system (BESS) are studied. According to the new energy fluctuation characteristics and the different peak valley parameters in the power grid, this paper proposes a electricity heat hydrogen multienergy storage system (EHH-MESS) and its coordination and optimization operational model to reduce the curtailment of wind power and photovoltaic (PV) to the power grid and improve the flexibility of the power grid. Finally, this paper studied the simulation model of an energy storage optimization control strategy after the multi-energy storage system is connected to the distribution networks, and analyzed three operational modes of the multi-energy storage system. The simulation results show that the EHH-MESS proposed in this paper has a better power grid regulation flexibility and economy, and can be used to replace the battery energy storage system based on MATLAB.
- Research Article
- 10.1360/sst-2022-0367
- Sep 6, 2023
- Scientia Sinica Technologica
<p indent="0mm">Innovation and reform are urgently needed in the transformation and regulation of modern energy systems to meet the high demands of energy security and environmental governance and to gradually realize the strategic goals of carbon peaking and carbon neutrality. In recent years, energy conversion equipment based on power electronics technology has been widely and rapidly developed in distributed energy systems, such as solar energy, wind energy, hydroelectric energy, geothermal energy, ocean energy, and biomass energy; and energy storage systems, such as chemical energy, flywheel energy storage, and hydrogen energy. The extensive application of energy conversion equipment has greatly improved the flexibility, controllability, and efficiency of multi-energy conversion systems. Moreover, the interaction, integration, and economy between energy systems have been significantly enhanced. With the continuous improvement of the penetration level of energy conversion equipment based on power electronics technology, distributed multi-energy systems usher in large development opportunities and systematic technological challenges in multiple links, such as renewable energy generation, high-efficiency energy conversion, and high-density energy storage. This paper expounds on the role of power electronics technology in the high-efficiency conversion and high-quality regulation of multi-energy systems. The basic concept and connotation of power electronics technology are briefly described, and the typical applications of power electronic equipment in the fields of renewable energy generation, multi-energy storage systems, and industrial production are introduced. On this basis, the key technologies of power electronic conversion systems are discussed from three aspects: power electronic conversion topology theory, multi-degrees-of-freedom combination and cooperative regulation, and power device application characteristic evaluations. The supporting role of power electronics technology in high-efficiency conversion, high-quality regulation, and high-reliability operation in energy systems is summarized. Finally, the innovative paths for the development of energy-efficient conversion of multi-energy systems based on power electronics technology are discussed. Finally, from the perspective of power electronics technology, new ideas for promoting the realization of carbon peaking and carbon neutrality goals are provided.
- Research Article
40
- 10.1016/j.renene.2021.06.041
- Jun 18, 2021
- Renewable Energy
Multi-objective robust optimization of multi-energy microgrid with waste treatment
- Research Article
53
- 10.1016/j.scs.2021.103147
- Jul 10, 2021
- Sustainable Cities and Society
Robust network-constrained energy management of a multiple energy distribution company in the presence of multi-energy conversion and storage technologies
- Research Article
35
- 10.1016/j.est.2023.109015
- Sep 21, 2023
- Journal of Energy Storage
Optimal planning method of multi-energy storage systems based on the power response analysis in the integrated energy system
- Research Article
8
- 10.3389/fenrg.2023.1283859
- Oct 26, 2023
- Frontiers in Energy Research
Aiming at the integrated energy microgrid, an important part of the energy internet, this paper constructs a multi-energy storage system optimization configuration model of the integrated energy microgrid in an independent mode, and proposes a configuration method that includes the rated power and capacity of the storage system and the heat storage system. The storage system model includes the estimation of battery life during heating and non-heating periods. The model takes economy as the index, and considers the relevant constraints of thermoelectric coupling of thermoelectric units, including thermal and electrical balance, unit climb, energy storage system and self-sufficiency probability, etc., and uses a The bacterial colony chemotaxis (BCC) algorithm model based on unit output and energy storage system power distribution strategy to solve the problem. The operation characteristics of cogeneration units equipped with energy storage system are discussed. The results show that the proposed multi-energy storage system configuration method has significant economic and environmental benefits in both heating and non-heating periods, and promotes the uptake of wind power.
- Research Article
57
- 10.1016/j.energy.2022.125240
- Aug 29, 2022
- Energy
Cost-based site and capacity optimization of multi-energy storage system in the regional integrated energy networks
- Research Article
62
- 10.1109/tsg.2020.3026930
- Oct 1, 2020
- IEEE Transactions on Smart Grid
Distributed storage systems (DESSs) are widely utilized to regulate voltages in active distribution networks with high penetration of volatile renewable energy. In this paper, the distributed multi-energy storage systems (MESSs) are integrated into the active distribution network to enhance the capability of voltage regulation by exploiting interactions among multi-energy loads. A novel distributed control strategy based on back-and-forth communication (BFC) framework is developed to optimally coordinate multiple MESSs for multi-time-step voltage regulation. To achieve the independent control of MESSs at each bus, the BFC is proposed to determine the global sensitivities of voltage violation in the whole network with respect to the power injection at each bus in only one-step iteration. These sensitivities updated in real time during BFC quantify the capability of the single MESS to mitigate voltage fluctuations across all buses, which can be used to individually inform the operation of each MESS. Distinct from traditional distributed control methods that achieve voltage regulation in a single timeslot, the proposed control strategy regulates MESSs in a multi-time-step manner to alleviate anticipated voltage violation in advance. The simulation based on a modified 11-bus radial distribution network demonstrates the effectiveness of the proposed distributed control strategy.
- Research Article
107
- 10.1016/j.enconman.2020.113800
- Jan 6, 2021
- Energy Conversion and Management
Two-phase collaborative optimization and operation strategy for a new distributed energy system that combines multi-energy storage for a nearly zero energy community
- Research Article
20
- 10.1016/j.est.2024.111276
- Mar 16, 2024
- Journal of Energy Storage
Performance analysis and application of a novel combined cooling, heating and power system integrated with multi-energy storage system
- Conference Article
- 10.1109/icpes53652.2021.9683928
- Dec 18, 2021
In order to meet the needs of diversified changes in modern energy supply systems and consumption patterns, multi-energy collaborative system (MECS) has become a trend in energy development. However, in view of the characteristics of multi-level architecture and multi-agent participation in multi-energy systems, there are still few researches on the integrated demand response (IDR) scenarios and specific response processes in the system. This paper considers the operating characteristics of MECS and the diversified functional positioning of integrated demand response. From the response target dimension, three typical application scenarios for IDR are designed to ensure the balance of energy supply and demand, improve user economy, and promote the consumption of distributed renewable energy. The form of subject participation and interactive behavior as well as response process of three typical application scenarios are analyzed. The three scenarios designed in this paper can provide references for the development of IDR in MECS.
- Conference Article
- 10.1109/icpeca56706.2023.10075755
- Jan 29, 2023
The interaction between various energy supply systems (cold, heat, electricity, gas, etc.) is becoming more tightly coupled as social economy and technology advance. Multi-energy systems are ineffective because different types of energy systems run independently. In order to protect the data privacy of each sub-system, this research suggests an ideal resource management framework for a multi-energy group control system. The energy hub (EH) paradigm is first suggested. When deploying EHs, the physical constraints of various energy systems are taken into account. Through scenario-based stochastic programming, the uncertainties of renewable energy are considered. According to the leader-follower relationship between multi-energy group control system operators and energy hub operators (EHOs), Benders decomposition is applied to decentralize the decision-making process. Finally, an example is given to illustrate the effectiveness of the proposed model and algorithm.
- Research Article
- 10.13052/dgaej2156-3306.38411
- May 18, 2023
- Distributed Generation & Alternative Energy Journal
Energy storage system (ESS) plays a critical role in maintaining the reliability of microgrids. ESS selection for microgrids depends on energy density, specific power, specific energy, and economics. This paper analyses the economic benefits of various combinations of short-, medium-, and long-term ESS, i.e., multi-energy storage systems (MESS) in a microgrid. The economic feasibility of the system is analyzed using Homer software. The net present cost (NPC), the Levelized cost of energy (LCOE), and pollutant gas emission are chosen as parameters for analyzing the economic feasibility of the microgrids. The results show that amongst all the scenarios, the system with Hydrogen Storage System (HSS) with Proton exchange membrane fuel cell (PEMFC) and electrolyzer is the most feasible solution with the lowest LCOE and pollutant emission.
- Book Chapter
8
- 10.1016/b978-0-12-820095-7.00018-2
- Jan 1, 2021
- Energy Storage in Energy Markets
Chapter 9 - Economic analysis of energy storage systems in multicarrier microgrids