319 results about "Capacity optimization" patented technology

Embodiments of the invention relate to cellular wireless networks and are particularly suited to networks including different types of base stations. So-called femtocell base stations are typically deployed within a subscriber's premises and operate at low transmit power, providing a very limited area of wireless coverage. A femtocell is typically deployed within the area of wireless coverage of a conventional macrocell type of base station, and if handover from a macrocell is performed on the basis of the best signal to noise plus interference ratio, a connection is likely to be transferred to another macrocell rather than to a femtocell. However, in view of the low density of user equipments capable of transceiving with a femtocell, the femtocell could potentially provide a greater data rate to the user equipment terminal than is possible with a macrocell. A cellular wireless network according to an embodiment of the invention employs a method of handover algorithm that has dependence on both a measure of signal quality such as signal to noise plus interference ratio and on a measure of loading of the base station. The handover algorithm is thereby able to weight selection of a base station on the basis of data rate, and intelligently engineer handover to a femtocell.

The invention relates to an energy storage system capacity configuration optimizing method capable of enhancing wind power receiving capacity. The method is characterized in that by constructing a relation between energy storage capacity and equivalent load peak-valley difference, calculating power grid wind power accepting capacity with limit of downward peak-adjustment capacity, calculating the improvement of wind power accepting capacity of an energy storage system, and optimizing the configuration of energy storage capacity under the premise that the energy storage system has the maximum total income, the problem that the access of large-scale wind power is limited due to restrictions of a network source structure and peak-adjusting capacity can be solved, and the influences of the energy storage cost and the large wind power receiving benefits on the capacity of the energy storage system can be fully considered, so that the capacity of the energy storage system is reasonably optimized, further the income maximization is realized.

The invention discloses a method for optimizing a wind power system-contained unit and backup configuration in the technical field of the operation and scheduling of an electric power system. The invention adopts a technical scheme that by analyzing the output characteristics of a fan, a valve point effect generated when a turbine inlet valve is suddenly opened is considered in a traditional method for analyzing the operation expense of a thermal power generating unit, and analysis on the rotary backup capacity based on the reliability index is also added; and a mathematic model for optimizing the unit and backup capacity is established, so that an optimal configuration result is obtained, and the configuration is carried out according to the configuration result. According to the method, different treatment ways of the water power in different periods are considered, and a favorable foundation is provided for the stable economical scheduling of the electric power system containing a wind power field; and the random fluctuation of the wind power is considered in the modeling process, a step for analyzing the rotary backup capacity based on the reliability index is added, the operation economical efficiency of the unit is combined with the optimized configuration of the rotary backup capacity, and a unit and backup optimization mathematic model containing the wind power field electric power system is established.

Communication systems are described that use geometrically shaped constellations that have increased capacity compared to conventional constellations operating within a similar SNR band. In several embodiments, the geometrically shaped is optimized based upon a capacity measure such as parallel decoding capacity or joint capacity. In many embodiments, a capacity optimized geometrically shaped constellation can be used to replace a conventional constellation as part of a firmware upgrade to transmitters and receivers within a communication system. In a number of embodiments, the geometrically shaped constellation is optimized for an Additive White Gaussian Noise channel or a fading channel. In numerous embodiments, the communication uses adaptive rate encoding and the location of points within the geometrically shaped constellation changes as the code rate changes. One embodiment of the invention includes a transmitter configured to transmit signals to a receiver via a communication channel, wherein the transmitter, includes a coder configured to receive user bits and output encoded bits at an expanded output encoded bit rate, a mapper configured to map encoded bits to symbols in a symbol constellation, a modulator configured to generate a signal for transmission via the communication channel using symbols generated by the mapper. In addition, the receiver includes a demodulator configured to demodulate the received signal via the communication channel, a demapper configured to estimate likelihoods from the demodulated signal, a decoder that is configured to estimate decoded bits from the likelihoods generated by the demapper. Furthermore, the symbol constellation is a capacity optimized geometrically spaced symbol constellation that provides a given capacity at a reduced signal-to-noise ratio compared to a signal constellation that maximizes d_min.

Communication systems are described that use signal constellations, which have unequally spaced (i.e. ‘geometrically’ shaped) points. In many embodiments, the communication systems use specific geometric constellations that are capacity optimized at a specific SNR. In addition, ranges within which the constellation points of a capacity optimized constellation can be perturbed and are still likely to achieve a given percentage of the optimal capacity increase compared to a constellation that maximizes d_min, are also described. Capacity measures that are used in the selection of the location of constellation points include, but are not limited to, parallel decode (PD) capacity and joint capacity.

The invention discloses a capacity optimization and auxiliary peak regulation method for a regional wind power plant group energy storage power station. The method comprises the steps that 1, a BESS (battery energy storage station) composite function charging and discharging realizing method of wind power plant group power fluctuation stabilization and power network peak regulation is considered, and a capacity optimization calculating model is built by using the BESS operation cost minimization as a target; 2, the super-short-term wind power is utilized for predication, and a real-time optimization operation model is built by using the maximization of gains when the BESS synchronously participates in the power fluctuation stabilization and the power network peak regulation as a target; 3, the cost sharing and gain distribution mode and method of the BESS system operation are provided. Through the adoption of the technical scheme, an energy storage system with the configuration required by a regional wind power plant can be planned, the economic and reasonable energy storage capability is optimized and calculated, meanwhile, an prioritization scheme that the energy storage system participates in the power network peak regulation in an auxiliary way is provided, and the reasonable and efficient operation level of a regional wind field configuration energy storage system is improved.

The invention discloses a wind farm energy storage capacity optimization method in consideration of optimal desired output and charge state. The method comprises the steps as follows: firstly, a computing method of an optimal desired output is proposed and utilizes a function with minimum square deviation of offset of a grid-connected power target value as an objective function, setting subjectivity of a stabilizing fluctuation output power target value is eliminated, and the computing method serves as the premise of energy storage capacity optimization; secondly, an energy storage SOC (state of charge) parameter is introduced, charge-discharge power is timely adjusted on the basis of the fuzzy control theory, SOC and charge-discharge states, an energy storage charge-discharge strategy is built, and excessive charge and discharge are effectively restrained; and finally, an optimal model is built with minimum sum of the penalty cost associated with the SOC and the operation cost, so that the energy storage capacity optimization integrating a schedule decision-making requirements, energy storage operating service life and economic efficiency is achieved, and related optimizing problems are solved with improved PSO (particle swarm optimization). The solution algorithm provided by the method is fast, efficient, and strong in convergence capacity.

The invention discloses a mixed energy storing capacity optimization method for optimizing micro-grid call wire power. A fitness function of a genetic algorithm is constructed through a mixed energy storing capacity optimization model and sample data of mixed energy storing total charging/discharging power is obtained; a frequency range is subjected to binary coding to generate a first-generation dividing frequency fP group; active powers PBESS and PSC of a storage battery and a super capacitor of any one individual in the first-generation group are respectively calculated according to the mixed energy storing capacity optimization model; rated capacities of the storage battery and the super capacitor are respectively calculated through the active powers PBESS and PSC of the storage battery and the super capacitor; an engineering period net present value of a mixed energy storing system, the service life of the storage battery and the service life of the super capacitor are obtained according to the rated capacities of the storage battery and the super capacitor and the active powers of the storage battery and the super capacitor; an individual with the highest fitness in the final generation is an optimal individual; and meanwhile, an optimal mixed energy storing capacity combination is obtained. An obtained capacity result is accurate and the estimation of the service life of energy storing equipment is realized.

The invention discloses a capacity optimization configuration method for a hybrid energy storage system orientating optimization operation of a power distribution network. The capacity optimization configuration method comprises the steps of obtaining imbalance power between the optimal output and photovoltaic actual output when an optical storage system participates in operation of the power distribution network firstly, taking the imbalance power as a hybrid energy storage reference power, adopting ensemble empirical mode decomposition to decompose the imbalance power into a series of intrinsic mode functions, and performing recursion Hilbert conversion to obtain an instantaneous frequency-time curve of each intrinsic mode function separately; according to power type and energy type energy storage characteristics, determining crossover frequency by taking least aliasing of the instantaneous frequency-time curves as a principle, and stabilizing the high-frequency components and low-frequency components of the imbalance power by adopting power type energy storage and energy type energy storage respectively; and finally, by considering charging-discharging efficiency, state of charge and life cycle cost, a power type and energy type energy storage rate power and rate capacity economic optimal configuration scheme is proposed. Compared with a conventional method, new energy output can be compensated, consumption capability to new energy can be improved, and active participation to the optimization operation of the power distribution network can be realized.

The present invention discloses an adaptive cell coverage and capacity optimization method and device in a mobile communication network, aiming to improve adaptive optimization performance of cell capacity and coverage. The technical solutions includes: calculating spectral efficiency of a cell; if the spectral efficiency of the cell is less than a first threshold, starting vertical sectorization processing of the cell to divide the cell into an inner sector and an outer sector, and configuring relevant parameters of the inner sector and the outer sector to improve the spectral efficiency of the cell; calculating spectral efficiency of the outer sector; and if the spectral efficiency of the outer sector is less than a second threshold, starting inter-cell interference coordination to improve the spectral efficiency of the outer sector, and reconfiguring the relevant parameters of the inner sector and the outer sector to improve the spectral efficiency of the cell.

The invention discloses a capacity optimization and configuration method of an individual micro-grid storage battery energy storage system. The capacity optimization and configuration method comprises the following steps: firstly, determining the installed capacity of wind power generation and photovoltaic power generation in the micro-grid and the size of load connected to the micro-grid system, and inputting each reference data required for calculation; making sure whether a diesel engine serving as a backup power supply is available or not and how large the capacity of the diesel engine power generation is according to the actual situation of the micro-grid; determining the relevant constraint conditions and each datum of the selected energy storage battery as well as setting indexes of the power shortage rate of the load power supply for the micro-grid; calculating the total power of wind and light generation according to the detailed resource data and the load power requirement in the same period of time so as to obtain the power balance; calculating the required energy storage capacity according to power balance of each period of time to obtain the power shortage which is possibly generated in each period of time and cannot be compensated by the storage battery; and calculating the total power shortage rate in the period of time required by the system so as to obtain the total capacity of the storage battery to meet the requirement. According to the invention, the reasonable energy storage capacity meeting the system running requirement can be obtained.

The invention discloses an energy storage station capacity optimizing calculation method considering dynamic adjustment of an electrically charged state. The optimizing calculation method includes the steps that a wind power plant energy storage system battery electrically charged state model is set up, and battery overcharging and overdischarging protective control is performed on the model; a wind power plant energy storage system capacity optimizing objective function is built with the optimal comprehensive benefit of stored energy as an objective, and energy storage station charging and discharging power constraint conditions and wind power plant output power fluctuation horizontal constraint conditions are built; the energy storage system capacity optimizing objective function is solved through calculation by selecting a PSO algorithm to determine the optimal wind power plant energy storage system capacity value. The energy storage station capacity optimizing calculation method has the advantages that energy storage station arrangement and overall economy in the operation process are considered comprehensively for the capacity optimizing calculation model, effective combination on site is facilitated, and theoretical premises and guarantees are provided for energy storage capacity optimization.

The invention discloses a capacity-optimizing method of an isolated micro-electrical network containing a wind-solar electricity-generating and electric-automobile electricity-transforming station in the technical field for the optimization of an electric-power system. The invention adopts the technical scheme that the method comprises the following steps of: firstly selecting a reasonable system structure, establishing the model of each part in an integrated system, then establishing an objective function by using the minimum total cost as an object, determining corresponding constraint conditions, and finally solving through an intelligent optimization algorithm to obtain the optimal capacity configuration of the system. In an optimized capacity-calculating method disclosed by the invention, the electricity-consuming requirement of an electric automobile and the possessed energy-storing capability of an electricity-transforming mode are considered, and the constraint conditions of a charging-discharging machine and a power battery are added; iterative solution is carried out through the intelligent optimization algorithm, the thought is clear and rigorous, the method is reasonable and reliable, and the problem of optimized capacity configuration of the isolated micro-electrical network containing the wind-solar supplementary electricity-generating and electric-automobile electricity-transforming station can be effectively solved.

The invention relates to a method for optimal configuration of independent micro grid mixed energy storage capacity. According to a mixed energy storage system composed of a storage battery and a supercapacitor, with one-time investment of the mixed energy storage system serving as an objective function, the capacity of the mixed energy storage system is comprehensively considered and determined from the aspects of the energy supply capability and the power supply capability of the energy storage system, a particle swarm optimization algorithm is adopted to solve a calculation example, and an optimal solution which is the least investment of the mixed energy storage system on the premise of meeting system reliability is output finally. The correctness of a mixed energy storage capacity optimization model is verified, and the method reduces investment cost of an energy storage device and improves utilization efficiency of renewable resources.

The invention discloses an optimized control method for wind power field reactive power compensation capacity considering wind power distribution rule; according to the method, a reactive power compensation capacity optimization model is utilized to carry out an optimized treatment, and the optimization target is that investment cost of reactive power compensation and operation cost of wind power system caused by reactive power are minimized; operation cost and investment cost are calculated; the operation cost comprises the affect of wind power distribution result and power property; and an optimized calculation is carried out by utilizing a particle swarm optimization algorithm combined with a power flow calculation program. The method has the beneficial effects that according to the optimization decision method of the compensation capacity, the reactive power compensation of a wind power field has the best economical efficiency and the strongest pertinency on the premise of adequately ensuring continuity of reactive power adjustment by wind power system.

The invention provides a method and system for optimizing a wireless network. The method comprises the steps of: counting cell pairs which have a frequency restriction relationship in the wireless network; obtaining connected clusters in the wireless network, wherein the connected clusters are cell sets of the wireless network and the frequency restriction relationship exists between any two cells in the cell sets; respectively obtaining the maximum connected cluster of each cell in the wireless network, wherein the maximum connected cluster is the connected cluster containing the maximum number of carrier waves in the connected clusters containing the cell; selecting the maximum connected cluster, containing the carrier waves with the number greater than the threshold of the number of carrier waves, from all the maximum connected clusters to obtain a connected cluster to be optimized; and carrying out coverage optimization and/or capacity optimization on the cells in the connected cluster to be optimized. By means of the method and the system for optimizing the wireless network, the three-dimensional equilibrium optimization of the coverage, the capacity and frequency interference of the wireless network are realized and the overall quality of the wireless network can be effectively promoted.

The invention provided a micro-grid energy storage capacity optimization configuration method. Based on frequency spectrum analysis performed on micro-grid net load power, a micro-grid system power allocation policy coordinating operation of a storage battery and a super capacitor is provided; by analyzing the cost structure of an energy storage system, a micro-grid hybrid energy storage capacity optimization model by taking a comprehensive minimum cost of the energy storage system as a target function and simultaneously considering constraint conditions, such as energy storage charging and discharging power, residual electricity and the like, is established. Based on experiments, technique reasonability and economic practicability of the provided method are proved, and theoretical evidence and technical supports are provided for the micro-grid energy storage plan and design.

The invention provides a micro-grid power supply capacity optimization configuration method. An island micro-grid is taken as a research object, the influences of the charge and discharge depth and frequency of a lead acid battery on life are analyzed, the influence of the energy storage life of the lead acid battery on micro-grid power supply capacity optimization configuration and the influence of wind curtailment punitive cost, reliability constraints and the like on the micro-grid power supply capacity optimization configuration are taken into consideration, an established model is more comprehensive, and a micro-grid power supply capacity optimal configuration scheme obtained through solving the established micro-grid power supply capacity optimal configuration model by use of a genetic algorithm of linearity weight can help to improve utilization rate of power supply capacity configuration of a micro-grid system, reduce power supply configuration waste and decrease investment cost and operation cost of the micro-grid system; and at the same time, the operation process of the micro-grid power supply capacity optimization configuration method is quite simple, the versatility is quite good, and the method can be widely applied to micro-grid power supply configuration planning on different application occasions and has quite good market popularization and application values.

The embodiment of the invention relates to a complementary optimization control method among multiple hybrid energy storage devices in an energy storage system. The multiple energy storage devices are different types of energy storage devices; and the complementary optimization control method comprises the following steps: establishing dynamic and steady mathematical models for the multiple energy storage devices; establishing capacity optimization object functions on the basis of the mathematical models, and carrying out online monitoring on the charge states of the multiple energy storage devices, so as to obtain the load power shortage probability of a system; establishing optimization constraint conditions of the capacity optimization object functions according to the load power shortage probability of the system, so as to carry out optimal configuration on the capacities of various energy storage devices; and separating the load power of the energy storage system on the basis of different frequency components, and distributing the separated load power corresponding to different frequency components to the multiple energy storage devices for undertaking respectively, so as to carry out optimal configuration on the power of the energy storage devices.

A system for storing data comprises a performance storage unit and a performance segment storage unit. The system further comprises a determiner. The determiner determines whether a requested data is stored in the performance storage unit. The determiner determines whether the requested data is stored in the performance segment storage unit in the event that the requested data is not stored in the performance storage unit.

The invention provides a chance-constrained-model-based optimized capacity configuration method of a multi-type energy storage system. The method comprises: (1), an entropy-chance constrained data model is established by considering new energy power generation randomness; (2), a charging and discharging control strategy of an energy storage system is simulated and established based on a model; and (3), charging and discharging electric quantities of the energy storage system are determined by using a genetic optimization algorithm. According to the invention, new energy power generation output randomness of wind-power and photovoltaic power generation and the like are taken into consideration; the model is established based on the chance constrained theory; and energy storage system states are divided by setting a fuzzy correction factor. Therefore, configuration costs of the hybrid energy storage system are reduced to the greatest extent; the capacity configuration of the multi-type energy storage system is optimized; and on the premise that the charging and discharging powers and the charge sate are kept in a proper range, power fluctuation of the new energy power generation can be effectively smoothened.