CN105391093A - Optimal scheduling method for grid-connected operation of small hydropower station group - Google Patents
Optimal scheduling method for grid-connected operation of small hydropower station group Download PDFInfo
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Abstract
The invention discloses an optimal scheduling method for grid-connected operation of a small hydropower station group. The method comprises that the output characteristics of different types of small hydropower stations in the present area are predicted and analyzed; confidence prediction and mathematical modeling are implemented to obtain the time-space output characteristic, interaction influence mechanism and typical output characteristic of the small hydropower stations; the regional reference load is predicted; load optimization is completed; voltage-reactive independent control is implemented; and according to the output characteristics of the small hydropower stations and the result of load prediction, optimal scheduling is carried out on output of all the small hydropower stations via load optimization to achieve the lowest operation cost of the regional electrical network by taking safe operation of the power distribution network as the constraint, and time-space output results of all the small hydropower stations are obtained. According to the invention, advantages and disadvantages of water storage type and radial flow type small hydropower stations are taken into consideration comprehensively, output is reasonably optimized, the scheduling result of the small hydropower station group is obtained, and grid-connected operation of the regional electrical network is economical.
Description
Technical field
The present invention relates to electric power network technique field, particularly relate to a kind of small hydropower system and to be incorporated into the power networks Optimization Scheduling.
Background technology
When the grid structure of regional power grid is weak, when natural calamity, the fragility of regional power grid is completely exposed, substation power loss, electrical breakdown, has a strong impact on the quality of life of the stable of civil order and resident.Under these severe natural conditions, still possess generating capacity in part small power station through investigation, but owing to lacking scheduling and technological means, local water power cannot be utilized for important load fast power restoration, after can only waiting for that interconnection repairing recovers, just recover major network and power.
For the area that small hydropower resources is abundant, Appropriate application green resource, has the significances such as voltage support reactive power compensation to regional power grid.Along with the development of hydropower, be all incorporated into the power networks with bulk power grid in most hydroelectric station, solve over power station isolated operation time the series of problems that brings, as poor in power supply reliability, the quality of power supply is poor, carrying load ability is poor.When regional power grid departs from bulk power grid, effectively can ensure the power supply of important load, have higher smart than normal areas electrical network.
Along with large-scale small hydropower system generates electricity by way of merging two or more grid systems, need a kind of small hydropower system be incorporated into the power networks optimize dispatching method, can under the prerequisite ensureing quality of voltage, consider economical operation, exerting oneself of firepower electrical plant can be reduced under normal grid-connect mode, realize being incorporated into the power networks Optimized Operation containing polymorphic type small hydropower system, make the low-carbon environment-friendly energy and realize sustainable development.
Summary of the invention
For solving the technical problem of existing existence, the embodiment of the present invention provides a kind of small hydropower system to be incorporated into the power networks Optimization Scheduling.
For achieving the above object, the technical scheme of the embodiment of the present invention is achieved in that
A kind of small hydropower system is incorporated into the power networks Optimization Scheduling, and described method comprises:
Predict and analyze the power producing characteristics of the dissimilar small power station of current region;
According to the historical data of described Predicting and analysis and the power producing characteristics of each small power station, carry out credible prediction and mathematical modeling, draw the space-time power producing characteristics of described small power station, the mechanism of reciprocal effect, typical case exerts oneself feature;
Carry out regional reference load prediction;
Adopt the different active control devices of load to form the active control strategy of different loads, adjust the determined load peak of described load prediction by the active control strategy of described different load successively, complete load optimal;
The independence of carrying out voltage power-less controls;
According to the result of the power producing characteristics of described small power station, described load prediction, through load optimal, with regional power grid the lowest coursing cost for target, with power distribution network safe operating conditions for constraint, ant group algorithm, genetic algorithm or simulated annealing is selected to solve, be optimized scheduling to whole small power station to exert oneself, the space-time obtaining each small power station is exerted oneself result.
Wherein, the described active control device of different loads comprises: electricity price stimulation, enterprise move peak, energy storage and/or rack reconstruct; Four kinds of active control devices of load are separate.
Wherein, the independence of described voltage power-less controls to comprise: load tap changer regulates and power capacitor switching.
Wherein, described prediction also analyzes the power producing characteristics of the dissimilar small power station of current zone, comprise: the distributed data of each small power station in pickup area electrical network and categorical data, determine small power station's machine set type and capacity, initial analysis is carried out to water storage type small power station and radial-flow type small power station, analyze influencing factor and the historical factor of small power station, gather the precipitation character data of current region, draw the power producing characteristics for small hydropower station each under all kinds of weather.
Wherein, described all kinds of weather comprises typhoon early warning weather.
Compared with prior art, the small hydropower system of the present invention Optimization Scheduling beneficial effect that is incorporated into the power networks is as follows:
1, water storage type small power station is optimized in the scheduling of micro-capacitance sensor arranges first, for the feature of water storage type small power station energy storage, effectively can utilize the radial-flow type small power station generating residue in low power consumption period every day, the energy is made full use of; And certain electric power support can be given in peak times of power consumption.
2, in small hydropower system scheduling aspect, taken into full account the proactive mechanisms management of load, reference load has been optimized, made load spatial and temporal distributions more be conducive to power station scheduling.
3, weak for regional power grid, be rich in again the Optimized Operation of the small hydropower station in the regional power grid of a large amount of small hydropower system, can the power supply of effective guaranteed load, effectively can utilize renewable resource again, energy-conserving and environment-protective, reduction operating cost.
Accompanying drawing explanation
In accompanying drawing (it is not necessarily drawn in proportion), similar Reference numeral can describe similar parts in different views.The similar reference numerals with different letter suffix can represent the different examples of similar parts.Accompanying drawing generally shows each embodiment discussed herein by way of example and not limitation.
Fig. 1 is that embodiment of the present invention small hydropower system is incorporated into the power networks the flow chart of Optimization Scheduling.
Embodiment
For the deficiencies in the prior art, the invention provides a kind of Optimization Scheduling that is incorporated into the power networks containing polymorphic type small hydropower system, consider the good and bad feature of water storage type and radial-flow type small power station, reasonably optimizing is exerted oneself, draw the scheduling result of small hydropower system, make the grid-connected economical operation of regional power grid.
As shown in Figure 1, the small hydropower system of the present invention Optimization Scheduling that is incorporated into the power networks comprises the steps:
Step 101: predict and the power producing characteristics of the dissimilar small power station of analyzed area;
Particularly, the distribution of each small power station in investigation regional power grid and type, the distributed data of each small power station in pickup area electrical network and categorical data; Determine small power station's machine set type and capacity, to water storage type small power station (adjustable hydroelectric station of exerting oneself, be equivalent to storage battery) and radial-flow type small power station (current are along with season, weather and time variations, exert oneself and there is fluctuation) carry out initial analysis, analyze small power station's influencing factor and historical factor thereof, system summary is carried out to the precipitation character of this area, gather the precipitation character data of this area, draw the power producing characteristics for (when comprising typhoon early warning) each small hydropower station under each quasi-representative weather.
Step 2: according to the Predicting and analysis of step 101, considers delayed and cumulative effect, carries out credible prediction and Modeling Calculation, draws the space-time power producing characteristics of region small power station, the mechanism of reciprocal effect, typical case exerts oneself feature;
Particularly, according to the historical data of step 101 and the power producing characteristics of each small power station, carry out credible prediction, draw the power curve for (when comprising typhoon early warning) under each quasi-representative weather, carry out mathematical modeling further.
Step 103: the prediction of regional reference load;
Particularly, load prediction generally can be divided into ultra-short term, short-term, medium and long term to predict according to being used for different target, wherein short-term load forecasting refers to the load prediction of following a day to a week, is mainly used in Optimization of Unit Commitment, economic power flowcontrol, hydro thermal coordination etc.According to the operation characteristic of system, increase-volume decision-making, many factors such as natural conditions and social influence, utilize some modern Forecasting Methodologies based on emerging artificial intelligence subjects theory to carry out effective load prediction, mainly contain neural network theory, expert system, fuzzy theory predicted method etc.; For main Load characteristics index, draw the Typical Agricultural load characteristic curve in area, typical commercial load characteristic curve and typical industry load characteristic curve.
Step 104: adopt the active control device of different loads to form the active control strategy of different loads, adjusts the determined load peak of (reduction) step 103 by the active control strategy of different loads successively.
Step 105: the independence of voltage power-less controls;
Particularly, control to be limit value more than, multiobject optimal control phenomenon for transforming plant voltage reactive, mainly contain two kinds of methods from control device: load tap changer regulates and power capacitor switching.Regional power grid can according to the change automatic switching Capacitor banks with power factor of electric network or voltage, power factor is made to maintain in a certain scope of adjusting, realize reactive power compensation or find one group of load tap changer and capacitor group switching quantitative change amount by the method for artificial intelligence, make target function have optimal solution, draw a kind of Comprehensive Control result.
Step 106: micro-capacitance sensor is normally incorporated into the power networks the Optimized Operation of small hydropower system under pattern.
Particularly, according to the power producing characteristics of the regional power grid Nei Ge small power station that step 101 ~ 102 draw, and the load prediction in the regional power grid of step 103 gained, through the load optimal of step 104, with regional power grid the lowest coursing cost for target, with power distribution network safe operating conditions for constraint, ant group algorithm, genetic algorithm or simulated annealing is selected to solve, be optimized scheduling to whole small power station to exert oneself, the space-time obtaining each small power station is exerted oneself result, and then finally obtains the scheduling result of small hydropower system.
Through step 101 ~ 106 in the embodiment of the present invention, the small hydropower system scheduling obtained is arranged under the prerequisite considering the good and bad feature (comprising water storage type and radial-flow type small power station) of dissimilar small power station, causes regional power grid operating cost minimum.
Wherein, the active control device of different loads described in step 104 can comprise any one or a few the combination in following four kinds: 1. electricity price stimulates; 2. enterprise moves peak; 3. energy storage; 4. rack reconstruct; Four kinds of active control devices of load are separate, change of load size that all can be direct or indirect, thus can reduce the load peak in typical day load curve.Concrete, electricity price stimulation refers to stimulate user power utilization behavior by implementing time-of-use tariffs, directly reduces load; Enterprise moves peak and refers to, by contract transfer enterprise of enterprise load, directly reduce load; Energy storage refers to discharge electric energy by energy storage device in load valley period store electrical energy, peak period, directly reduces load.Rack reconstructs, and is the grid structure according to the determined expansion of step 104, changes trend distribution, indirectly reduce load by dropping into or excise circuit.
Particularly, control to be limit value more than, multiobject optimal control phenomenon for transforming plant voltage reactive in step 105, mainly contain two kinds of methods from control device: load tap changer regulates and power capacitor switching.Particularly, its basic controlling rule is: 1) after the upper (lower) tune of depressor tap, and voltage will become greatly (little), idle change large (little), and power factor diminishes (greatly); 2), after dropping into (exiting) capacitor, idle diminish (greatly), voltage becomes large (little), and power factor becomes large (little).In practical application, regional power grid can according to the change automatic switching Capacitor banks with power factor of electric network or voltage, power factor is made to maintain in a certain scope of adjusting, realize reactive power compensation or find one group of load tap changer and capacitor group switching quantitative change amount by the method for artificial intelligence, make target function have optimal solution, draw a kind of Comprehensive Control result.
Small hydropower system of the present invention is incorporated into the power networks Optimization Scheduling, water storage type small power station is optimized in the scheduling of micro-capacitance sensor arranges first, for the feature of water storage type small power station energy storage, effectively can utilize the radial-flow type small power station generating residue in low power consumption period every day, the energy is made full use of; And certain electric power support can be given in peak times of power consumption.In small hydropower system scheduling aspect, take into full account the proactive mechanisms management of load, reference load has been optimized, made load spatial and temporal distributions more be conducive to power station scheduling.Weak for regional power grid, be rich in again the Optimized Operation of the small hydropower station in the regional power grid of a large amount of small hydropower system, can the power supply of effective guaranteed load, effectively can utilize renewable resource again, energy-conserving and environment-protective, reduce operating cost, produce good economic benefit and social benefit.Dispatching method is easy to grasp and operation, for dispatcher provides beneficial reference.
The above, be only preferred embodiment of the present invention, be not intended to limit protection scope of the present invention.
Claims (5)
1. small hydropower system is incorporated into the power networks an Optimization Scheduling, and it is characterized in that, described method comprises:
Predict and analyze the power producing characteristics of the dissimilar small power station of current region;
According to the historical data of described Predicting and analysis and the power producing characteristics of each small power station, carry out credible prediction and mathematical modeling, draw the space-time power producing characteristics of described small power station, the mechanism of reciprocal effect, typical case exerts oneself feature;
Carry out regional reference load prediction;
Adopt the different active control devices of load to form the active control strategy of different loads, adjust the determined load peak of described load prediction by the active control strategy of described different load successively, complete load optimal;
The independence of carrying out voltage power-less controls;
According to the result of the power producing characteristics of described small power station, described load prediction, through load optimal, with regional power grid the lowest coursing cost for target, with power distribution network safe operating conditions for constraint, ant group algorithm, genetic algorithm or simulated annealing is selected to solve, be optimized scheduling to whole small power station to exert oneself, the space-time obtaining each small power station is exerted oneself result.
2. method according to claim 1, is characterized in that, the described active control device of different loads comprises: electricity price stimulation, enterprise move peak, energy storage and/or rack reconstruct; Four kinds of active control devices of load are separate.
3. method according to claim 1, is characterized in that, the independence of described voltage power-less controls to comprise: load tap changer regulates and power capacitor switching.
4. method according to claim 1, it is characterized in that, described prediction also analyzes the power producing characteristics of the dissimilar small power station of current zone, comprise: the distributed data of each small power station in pickup area electrical network and categorical data, determine small power station's machine set type and capacity, initial analysis is carried out to water storage type small power station and radial-flow type small power station, analyze influencing factor and the historical factor of small power station, gather the precipitation character data of current region, draw the power producing characteristics for small hydropower station each under all kinds of weather.
5. method according to claim 4, is characterized in that, described all kinds of weather comprises typhoon early warning weather.
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| CN106529718A (en) * | 2016-11-04 | 2017-03-22 | 贵州电网有限责任公司电力科学研究院 | Non-runoff small hydropower station short term power weighted prediction method |
| CN107093910A (en) * | 2017-05-09 | 2017-08-25 | 南京软核科技有限公司 | A kind of lower multi-mode micro-capacitance sensor controller of new energy access containing small power station |
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Cited By (11)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN106447134A (en) * | 2016-11-04 | 2017-02-22 | 贵州电网有限责任公司电力科学研究院 | Classified short-term power forecast method for small hydropower stations |
| CN106485369A (en) * | 2016-11-04 | 2017-03-08 | 贵州电网有限责任公司电力科学研究院 | A kind of radial-flow type small power station short term power weight predicting method |
| CN106529718A (en) * | 2016-11-04 | 2017-03-22 | 贵州电网有限责任公司电力科学研究院 | Non-runoff small hydropower station short term power weighted prediction method |
| CN106485369B (en) * | 2016-11-04 | 2019-08-09 | 贵州电网有限责任公司电力科学研究院 | A kind of radial-flow type small power station short term power weight predicting method |
| CN106529718B (en) * | 2016-11-04 | 2019-11-05 | 贵州电网有限责任公司电力科学研究院 | A kind of non-radial-flow type small power station short term power weight predicting method |
| CN107093910A (en) * | 2017-05-09 | 2017-08-25 | 南京软核科技有限公司 | A kind of lower multi-mode micro-capacitance sensor controller of new energy access containing small power station |
| CN107093910B (en) * | 2017-05-09 | 2020-02-18 | 南京软核科技有限公司 | Multi-mode microgrid controller under new energy access containing small hydropower stations |
| CN107171322A (en) * | 2017-06-19 | 2017-09-15 | 国网重庆市电力公司电力科学研究院 | A kind of planing method of the power distribution network containing small power station |
| CN107171322B (en) * | 2017-06-19 | 2020-04-14 | 国网重庆市电力公司电力科学研究院 | Planning method for power distribution network containing small hydropower stations |
| CN107769268A (en) * | 2017-10-10 | 2018-03-06 | 三峡大学 | Scope is adjusted to predict that province supplies load method a few days ago in a kind of ground containing small power station |
| CN107769268B (en) * | 2017-10-10 | 2021-03-09 | 三峡大学 | Method for predicting provincial supply load day by day in regional dispatching range containing small hydropower stations |
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Address after: 570100 Hairuihou Road, Longhua District, Haikou City, Hainan Province, 23 Co-patentee after: Nanjing Soft Core Technology Co., Ltd. Patentee after: Hainan Electric Power Grid Co., Ltd. Electric Power Research Institute Address before: 571400 Xinheng Building, 123-8 Binhai Avenue, Haikou City, Hainan Province, 13 stories Co-patentee before: Nanjing Soft Core Technology Co., Ltd. Patentee before: Hainan Power Technology Research Institute |