This paper aims at specifying the optimal allocation of a vanadium redox flow battery (VRB) energy storage system (ESS) for maintaining power balance of active distribution networks for wind power applications. Correspondingly, an optimal allocation approach for the VRB ESS was proposed. Different with the previous researches, the dynamic efficiency and life of VRB are considered in the proposed mathematical framework. Also, this proposed mathematical framework made a comprehensive assessment of the total benefits including the consumption of wind power, the reduced load interruption, greenhouse gas emission, network loss, and the capital cost of VRB ESS. These economic indicators are used to evaluate the penetration of VRB ESS and the economy of ADNs can achieve to the optimal with the designed VRB ESS. Finally, the proposed optimal allocation approach was validated and tested by a modified IEEE 33-bus system and IEEE 123 node system. Test results have demonstrated the effectiveness of the proposed optimal allocation approach associated with the power flow operation characteristics of active distribution networks.
Wind power has achieved great development in Northern China, but abundant wind power is dissipated, rather than utilized, due to inflexible electricity production of combined heat and power (CHP) units. In this paper, an integrated CHP system consisting of CHP units, wind power plants, and condensing power plants is investigated to decouple the power and heat production on both the power supply side and heat supply side, by incorporating electrical energy storage (EES) and thermal energy storage (TES). Then the integrated CHP system dispatch (ICHPSD) model is formulated to reach the target of reducing wind power curtailment and primary energy consumption. Finally, the feasibility and effectiveness of the proposed ICHPSD model are verified by the six-bus system, and the simulation results show that EES has a better effect on wind power integration than TES. The annual net benefits by incorporating EES and TES increase with increasing wind penetration, but they gradually approach saturation. Introducing both EES and TES can largely increase the amount of wind power integration and improve the operation efficiency of the system. Energies 2016, 9, 474 2 of 17 technologies which are suitable for large-scale applications, conventional battery storage is efficient but the investment would be very high. Pumped hydro is fit for large-scale applications but it is applicable only in certain locations [11]. Nowadays, hydrogen storage is emerging as a promising alternative due to high energy density, clean fuel, and relatively low capital cost [12,13]. Adding hydrogen storage to a CHP system could improve the accommodation of wind power, as well as primary energy saving, since the wind energy curtailed in off-peak hours could be used to split water into hydrogen and oxygen. Hydrogen would be stored and then transformed to electrical energy, when necessary, by various ways.Thermal energy storage (TES) is another attractive option for wind energy integration. Although thermal storage is not directly related with electrical energy production, introducing TES is an efficient solution to relieve the mismatch between heat/power demand and supply, by decoupling the generation of electricity and heat [14]. The surplus thermal energy is stored during the operating periods for a later use when electrical demand is low, leading to a decrease in heat production of CHP plants, along with a reduction in electricity production, as a result, wind power would be better integrated. Under the influence of real-time electricity pricing, a large number of TES units have been installed in European countries which have a large percentage of wind power [15]. For example, in Denmark, TES systems have been an important part of its 100% renewable energy system plan [16].Many studies have been involved in the flexible operation of integrated CHP systems recently. In [17], heat pumps and thermal inertia of buildings and thermal comfort of end users are considered to increase the wind power integration. In [18], electric boilers and heat storage tanks are...
Abstract:With the penetration of distributed generators (DGs), operation planning studies are essential in maintaining and operating a reliable and secure power system. Appropriate siting and sizing of DGs could lead to many positive effects forthe distribution system concerned, such as the reduced total costs associated with DGs, reduced network losses, and improved voltage profiles and enhanced power-supply reliability. In this paper, expected load interruption cost is used as the assessment of operation risk in distribution systems, which is assessed by the point estimate method (PEM). In light with the costs of system operation planning, a novel mathematical model of chance constrained programming (CCP) framework for optimal siting and sizing of DGs in distribution systems is proposed considering the uncertainties of DGs. And then, a hybrid genetic algorithm (HGA), which combines the GA with traditional optimization methods, is employed to solve the proposed CCP model. Finally,the feasibility and effectiveness of the proposed CCP model are verified by the modified IEEE 30-bus system, and the test results have demonstrated that this proposed CCP model is more reasonable to determine the siting and sizing of DGs compared with traditional CCP model.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.