Storage Planning Research Articles

Optimal planning of hybrid hydrogen and battery energy storage for resilience enhancement using bi-layer decomposition algorithm

Optimal planning of hybrid hydrogen and battery energy storage for resilience enhancement using bi-layer decomposition algorithm

Zonal Planning for a Large-Scale Distribution Network Considering Reliability

To achieve the optimal planning of grid resource storage for a large-scale distribution network (DN), a cluster partition-based zonal planning method for the DN, considering reliability, is proposed. Firstly, a comprehensive clustering partition index is proposed, which includes the modularity index, power balance index, and node affiliation index. A hybrid genetic–simulated annealing algorithm is employed to perform the cluster partition. Secondly, a three-layer joint expansion planning model based on cluster partitioning is proposed. At the upper level, a route planning model is established to optimize the routing of the cluster. At the intermediate level, a location and capacity planning model for distributed photovoltaics and energy storage is formulated, taking uncertainties into account. By introducing uncertainty parameters, the range of uncertainty for sources and loads is characterized. At the lower level, reliability indices within the clusters are calculated to ensure operational reliability while reducing the conservatism of the optimization outcomes. Finally, the proposed method is applied to a real distribution network in China, demonstrating its effectiveness in improving the economic efficiency of DN planning.

Independent energy storage planning model considering comprehensive benefits enhancement

New power systems with large-scale clean energy access require energy storage to provide critical support. Aiming at the problems of unclear service scope, high investment cost, long payback period, and low utilization rate faced by the construction of new energy storage, an energy storage planning method considering the comprehensive benefits of independent energy storage is proposed. First, the key transmission sections identification index is proposed by comprehensively considering the characteristics of the key transmission sections, the grid topology, the reliability, and the criticality of the line. Second, the connecting areas of the key transmission sections are selected as the location of independent energy storage configuration and dynamically updated year by year to clarify the optimal siting area of the independent energy storage in the long term planning. Then, an independent energy storage planning model considering comprehensive benefits enhancement is established to expand the multiple applications of energy storage in the power market and improve the comprehensive benefits of the energy storage system. Finally, the improved IEEE RTS-79 system is used for simulation to verify the effectiveness of the proposed method.

Optimal configuration of shared energy storage system in microgrid cluster: Economic analysis and planning for hybrid self-built and leased modes

Optimal configuration of shared energy storage system in microgrid cluster: Economic analysis and planning for hybrid self-built and leased modes

Mixed Game-Based Two-Stage Planning of PV and Energy Storage in Distribution System With Multiple Integrated Energy Microgrids

Mixed Game-Based Two-Stage Planning of PV and Energy Storage in Distribution System With Multiple Integrated Energy Microgrids

Optimal carbon reduction and energy storage management method for new power systems considering carbon emissions

Abstract With the advancement of the national “dual carbon” strategy goals and the planning of new energy systems, the proportion of new energy connected to the power grid is rapidly increasing. Therefore, it is urgent to accelerate the planning and construction of energy storage. In this context, from the perspective of energy storage as a regulatory resource, this paper aims to build a set of energy storage state estimation and residual life prediction methods with high estimation accuracy and low computational complexity and achieve energy storage management on the energy storage management system of edge computing architecture, so as to meet the safe, reliable, lasting and efficient operation needs of the energy storage management system, while promoting wind and solar energy consumption as a means. Taking carbon emission reduction as the optimal goal, energy storage management and utilization methods are built. Through simulation experiments, it is verified that this optimal carbon reduction and energy storage management method has good experimental results.

A balanced optimization method for energy storage capacity allocation in new power systems under the background of carbon reduction

Abstract Under the combined effects of national carbon reduction requirements, strong volatility and randomness at the new energy end, and a large amount of source load at the load end, the planning and operation characteristics of the new power system will also undergo fundamental changes, and energy storage planning and configuration will become the most suitable solution. This paper explores the optimal configuration of energy storage capacity within emerging power systems. Using a distribution network heavily reliant on renewable energy as a case study, we employed an echo state network to optimize the balance of energy storage capacity. Numerical experiments and case studies were conducted to validate the efficacy of this approach. Our research aims to furnish a robust and practical methodology for optimizing energy storage capacity in power systems, thereby offering substantial support towards achieving carbon reduction targets and fostering sustainable development within the energy sector.

Research on multi-time scale Volt/VAR optimization in active distribution networks based on NSDBO and MPC approach

Research on multi-time scale Volt/VAR optimization in active distribution networks based on NSDBO and MPC approach

A slope scaling heuristic for the multi-period strategic planning of carbon capture and storage

A slope scaling heuristic for the multi-period strategic planning of carbon capture and storage

Logistics distribution model and storage planning design based on multi-source information positioning in smart city development

The research mainly focuses on the inefficient planning of autonomous distribution and storage modes of distribution vehicles in smart city logistics and distribution, which in turn leads to poor customer experience, rising distribution costs, and wasted distribution resources. From the perspective of information processing in the logistics distribution process, the study takes multi-angle and multi-source information collection and fusion processing strategy as the main basis to help smart delivery robots realize map construction and autonomous positioning in the distribution process, and then facilitate real-time logistics distribution and storage mode planning by robots in combination with their own states. The research results show that the algorithm accuracy, standard error, and average running time of the extended Kalman filter localization model designed in the study are 0.96, 1.52, and 105s, respectively, with the algorithm accuracy being the highest and the other two values being the lowest in its class. Meanwhile, in the simulation logistics planning, the research-designed logistics planning model has the strongest information capturing ability, and the planning of distribution routes and storage modes is more reasonable, which can provide more efficient autonomous planning solutions.

AADMM based shared energy storage planning for resilience improvement of renewable energy stations

The exponential proliferation of renewable energy has resulted in a significant mismatch between power supply and demand, especially during extreme events. This incongruity presents challenges in efficiently harnessing renewable energy and enhancing the resilience of the power grid. To address this issue, this paper proposes shared energy storage (SES) planning based on the adaptive alternating direction method of multipliers (AADMM). The objective is to fully leverage SES, enhance the local consumption level of renewable energy, ensure power grid resilience, and reduce operational costs. First, to ensure the effective utilization of SES while minimizing initial investment and construction costs, a planning model for SES is formulated. Secondly, to maximize the benefits for multiple prosumers within the renewable energy and SES station, a profit maximization model for multiple prosumers is established. Lastly, to guarantee the privacy security of SES and multi-prosumers while optimizing computational efficiency, a distributed computing model for SES based on AADMM is developed. The results of the example show that the proposed model can not only reduce the cost of 47.96 CNY, but also increase the power self-sufficiency rate by 21.86%. In addition, compared with the traditional distributed optimization, the number of iterations of AADMM is increased by 47.05%, and the computational efficiency is increased by 54.67%. In addition, market prices have a great impact on energy trading, and the impact of market pricing on the operation of the park is not considered in our current research. In this case, our future research aims to consider how to price reasonably between prosumers and between prosumers and SES, so as to realize the stable participation of each subject in the energy market.

Hydrogen storage planning robust to year‐round net load fluctuation

AbstractLong‐term hydrogen storage systems are considered a solution to the long‐term supply imbalance caused by different seasonal characteristics in renewable energy output and load. However, most existing planning models assume the whole year‐round net load series is known in advance and the optimal operation sequence of long‐term storage is derived accordingly. This assumption underestimates the necessary long‐term storage capacity because of the difficulty of accurate fine‐grained long‐term forecasting. This work proposes a long‐term hydrogen storage planning framework that is robust to year‐round net load fluctuation. The daily average component from the historical net load series is first derived to formulate the long‐term operation scenario set. On this basis, a robust planning model is developed where the trend of long‐term storage operation is forced to be identical for all long‐term operation scenarios and not to respond to one specific scenario with full information of the net load sequence. The results show that the planning results given by the proposed framework are more robust in real‐time operation with less load shedding.

Properties of foam concrete containing phase change material impregnated pumice

Properties of foam concrete containing phase change material impregnated pumice

Integrated planning of hydrogen supply chain and reinforcement of power distribution network for accommodating fuel cell electric vehicles

Integrated planning of hydrogen supply chain and reinforcement of power distribution network for accommodating fuel cell electric vehicles

Energy, economic and environmental evaluation of the energy storage capabilities of artificial lakes based on pumped-hydro storage systems with a case study of Daghgoli artificial recreational lake

Energy, economic and environmental evaluation of the energy storage capabilities of artificial lakes based on pumped-hydro storage systems with a case study of Daghgoli artificial recreational lake

Prinsip Perencanaan Kearsipan terhadap Ketercapaian Akreditasi Madrasah

Archives are an important component of preparing for madrasah accreditation. The research used qualitative methods with a case study approach at MTs Malnu Menes, Pandeglang Regency. Data collection is through observation, documentation and literature study, while the data analysis technique is triangulation. Research shows that archival planning principles that meet the criteria for madrasa accreditation include staff, finances, equipment, storage systems and selection of organizational systems. The archival planning must meet the elements of completeness, cost, flexibility, quality, relevance, retention, timeliness and variability. The archival planning is prepared by madrasah accreditation by preparing incoming and outgoing letters, archival retention schedules and providing archival facilities. Archive storage planning considers classification, storage, maintenance, records and natural factors. Planning an archival storage system includes checking, sorting, indexing, signaling, labeling, archival books and storage. Planning room archive facilities, cupboards, letter receiving equipment, letter storage equipment and correspondence equipment. Planning for archivists with competencies, namely general knowledge, organizational knowledge, archival knowledge, skills, accuracy, neatness and intelligence.

Where to Start: Creating a Roadmap for Collection Storage Planning Through a Collaborative Values-Based Approach: A National Endowment for the Humanities Sustaining Cultural Heritage Collections project at The New York Public Library

Collection storage is one of the most complex collaborations a museum, library, or archive can undertake. A high-level initial assessment can help overcome the inertia and complexity that overwhelms larger organizations due to the number of stakeholders, spaces, and collections. Large institutions need to rise above room-level preservation issues and focus on global, values-based thinking. With support from the Sustaining Cultural Heritage Collections (SCHC) program of the National Endowment for the Humanities (NEH), The Research Libraries of the New York Public Library (NYPL) designed a collaborative pre-planning exercise to inform long-range collection storage planning for over fifty storage areas within its Manhattan research centers. Pulling together experts in architecture, preservation environment, and sustainability to review NYPL’s storage needs in collaboration with an internal team of stakeholders, the project established foundations for ongoing values-based collaborative planning. Project design and considerations on synthesizing observations into recommendations are discussed in this article.

Power Supply Unit Planning of Distribution Network Including Energy Storage based on N-1 Criterion

In order to realize effective load transfer in medium voltage distribution network when N-1 fault occurs, a method of power supply unit division is proposed. Firstly, according to the content and characteristics of grid planning of distribution network, the principle of power supply unit division is proposed. Then, based on the grid planning of distribution network, the method of power supply unit division is established. Finally, the calculation results show that the division of power supply units based on the power supply grid and energy storage planning improves the line connection rate, meets the N-1 safety check, and improves the safety and reliability of the medium-voltage distribution network.

Building a carbon storage portfolio for the Barrow and Dampier sub-basins – a national resource

The Australian government has recently legislated a 43% emissions reduction target for 2030 to drive net zero ambitions for 2050. The government plans for carbon capture and storage (CCS) to play a significant role in achieving this through greenhouse gas storage licence rounds. Rapid screening of Australia’s carbon storage opportunities is necessary to position future acreage release and ultimately identify and mature carbon storage sites. An industry collaboration between Geoscience Australia and SLB has conducted a basin-scale carbon storage assessment project for the Barrow and Dampier sub-basins. The project has built and modernised a subsurface database fit for CCS screening. The dataset was used as the foundation to create a carbon storage opportunity portfolio and storage resource assessment for the area. The project has three major streams: (1) CCS-focussed reprocessing, depth imaging and merging of 29 legacy seismic surveys covering 26,150 km2 – focussed on detailed image resolution for containment analysis. (2) A basin-wide audit of 1620 wells and databasing of available log data, 129 wells were carried through for petrophysical and rock physics analysis relevant to CCS. (3) A portfolio of carbon storage opportunities and associated capacity assessment for the Barrow–Dampier including saline aquifers and depleted fields ranked on storage capacity, reservoir and seal properties and integrity. The results of this study will be released via the National Offshore Petroleum Information Management System as a public resource to expedite CCS implementation for the region.

Evaluating two high-throughput phenotyping platforms at early stages of the post-harvest pipeline of sweetpotatoes

Evaluating two high-throughput phenotyping platforms at early stages of the post-harvest pipeline of sweetpotatoes