CN106022515A - Single-phase and three-phase parallel-serial connection multi-microgrid day-ahead economic optimization method taking account of constraint of degree of unbalance - Google Patents
Single-phase and three-phase parallel-serial connection multi-microgrid day-ahead economic optimization method taking account of constraint of degree of unbalance Download PDFInfo
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Abstract
The invention discloses a single-phase and three-phase parallel-serial connection multi-microgrid day-ahead economic optimization method taking account of the constraint of degree of unbalance. With an increase in the access number of microgrids in a single grid area, a multi-microgrid with a complex operation mode and control mode is formed. The multi-microgrid, as a microgrid group with a complex structure and control mode, has significant meaning to the research of a economic optimization algorithm for a light-storage multi-microgrid with a high commercial application value. The invention provides a multi-microgrid day-ahead economic optimization method taking account of the constraint of degree of unbalance for a single-phase and three-phase parallel-serial topology. The method is based on a layered and hierarchic communication architecture and information transmission mode and uses a double-layer rolling optimization as structure. A bottom layer uses optimal economical efficiency of the each sub microgrid as a target. A top layer obtains the corresponding output of each sub microgrid by balancing the optimized single-phase sub microgrid connection line power values of the bottom layer. An example verifies that the method is feasible, reduces the three-phase degree of unbalance of a system, and provides certain reference meaning for an increase in the multi-microgrid economical efficiency.
Description
Technical field
The present invention relates to many microgrids economic optimization field, particularly to a kind of single three-phase considering that degree of unbalancedness retrains
Series-parallel connection many microgrids economic optimization method a few days ago.
Background technology
Micro-capacitance sensor is that distributed power source, load, energy storage device, current transformer and monitoring and protecting device are had by one
Small-sized the distribution system that machine combines.By the crucial skill such as the operation control of micro-capacitance sensor and energy management
Art, it is possible to achieve the unfavorable shadow that its grid-connected or islet operation, reduction intermittence distributed power source bring to power distribution network
Ring, maximally utilise distributed power source and exert oneself, high power supply reliability and the quality of power supply.At microgrid to intelligence
During power network development, many micro-grid systems become the novel power grid study hotspot after single microgrid.Single-phase point
Cloth power supply, the access of the most single-phase microgrid, thus form the complicated structural system of single three-phase many microgrids series-parallel connection,
This respect research abroad just starts to carry out, and domestic is substantially at blank.And microgrid the most to series-parallel connection carry out through
Ji optimizes, and improves the economic benefit of many microgrids, will become research core and the hot issue of many microgrids.
Finding by prior art documents, a kind of dynamic economy containing intermittent energy source independence micro-capacitance sensor is adjusted
Degree optimization method (patent of invention: CN201510212034.1) discloses a kind of independent micro-containing intermittent energy source
The dynamic economic dispatch optimization method of electrical network, by introducing power-balance, system reserve in dynamic economic dispatch
The constraintss such as capacity, unit output, unit the shortest start-stop time, and based on each distributed power source and energy storage
The optimization object function of active power distribution between system, according to system loading and wind-powered electricity generation in varied situations with
Machine fluctuation change, effectively solves the system minimum operating cost of day part and the optimal of each distributed generation unit
Output, drastically increases the efficiency of systematic economy optimizing scheduling with accurate in limited scheduling time section
Degree, it is ensured that optimization aim is that the total operating cost on the basis of system stability reliability service minimizes.But the method
Only consider the economic optimization scheduling of single microgrid, do not consider the economic optimization of the many microgrids of single three-phase of fast development,
More do not meet the schedule constraints of three-phase imbalance.
Summary of the invention
The present invention considers single three-phase series-parallel connection topology, it is proposed that consider that many microgrids of degree of unbalancedness constraint are the most economical excellent
Change method.Through case verification, institute's extracting method is feasible and effectively reduces this system tri-phase unbalance factor, improves the most micro-
The economic benefit of net.
Consider single three-phase series-parallel connection many microgrids economic optimization method a few days ago of degree of unbalancedness constraint, comprise the steps:
(1) each single-phase and three-phase microgrid are carried out distributed single microgrid economic optimization, show that each single microgrid stores up
Optimal solution set G that can exert oneselfbestk, k=1 ... 3,1 represent A phase, and 2 represent B phase, and 3 represent C phase；
(2) optimal solution set G of each single microgrid that step (1) is obtainedbestk, be converted into dominant eigenvalues value by
Phase sequence is uploaded to many microgrid central controllers, completes uneven constraint correction algorithm in central controller.Contact
The linear heat generation rate value process that specifically converts is as follows: Plinek=Ploadk–Pvk-PGbestk, wherein, PlinekRepresent certain phase Dan Wei
Net dominant eigenvalues value, k=1～3,1 represents A phase, and 2 represent B phase, and 3 represent C phase；PloadkRepresent certain
The single microgrid internal loading power of item；PvkRepresent photovoltaic power in certain phase list microgrid；PGbestkRepresent in (1st) step
The single microgrid energy storage drawn is exerted oneself performance number；
(3) energy storage of 24 hours on the one in single microgrid is exerted oneself it is divided at the beginning of 96 moment i, i=1～96, i
Initial value is 1；
(4) many microgrid central controllers judge the dominant eigenvalues value of A, B, C three-phase corresponding to the i moment
Whether degree of unbalancedness has been above setting percentage ratio b%, if it is not, then correspondence dominant eigenvalues value preserved, makes
I adds 1, and restarts from this step, the most then carry out next step；
(5) with dominant eigenvalues value corresponding to i moment as input value, interconnection based on particle cluster algorithm is carried out
Performance number optimization correction, it is ensured that tri-phase unbalance factor, less than while b%, makes revised each phase interconnection merit
Change summation before rate is relatively revised is minimum, i.e. Δ Dimin=| Plinei'-Plinei|+|Plinei'-Plinei|+|Plinei'-Plinei|, wherein Δ Dimin
For each phase interconnection changed power summation, Plinei、Plinei、PlineiFor each phase energy storage corresponding before i time adjustment
Exert oneself, Plinei'、PBS2i'、PBS3i' for revised each phase dominant eigenvalues；
(6) it is known disaggregation with each phase dominant eigenvalues that moment 1 to i is corresponding, generated for the i-th moment to the 96th
The Probabilistic Fuzzy polarization population population s based on SOC value in moment, SOC is energy storage state；
(7) with population population after polarization for primary group, obtained for the i-th moment to based on particle cluster algorithm
The globally optimal solution in 96 moment；
(8) i is made to add 1, if i > 96 is by globally optimal solution G after correction optimizationbestfExport at most microgrid central authorities control
Device processed, is used for controlling exerting oneself of energy storage in single-phase micro-capacitance sensor next day；If i≤96, otherwise return to step (4).
Further, above-mentioned steps (1) specifically includes:
(1.1) microgrid is carried out photovoltaic prediction, load prediction, obtain photovoltaic next day, load exerts oneself PviAnd Ploadi；
(1.2) according to PviAnd PloadiAnd SOC constraints initialization particle populations, population scale 96,
SOC is energy storage state, and restriction range is 20%-80%, sets maximum iteration time a, primary iteration number of times
L=0；
(1.3) optimum as target with odd-numbered day microgrid economy, particle populations is carried out the l time iteration, finds storage
Can state locally optimal solution Pbestl；
(1.4) P is comparedbestlWith previous locally optimal solution Pbestl-1Fitness, update group optimal solution,
And according to Δ Pbest=Pbestl-Pbestl-1Self-adaptative adjustment weight coefficient so that particle is drawn close to preferable region；
(1.5) l=l+1 is made, it may be judged whether iteration completes, if not completing the weight coefficient after adjusting to substitute into step
Suddenly (3), if completing to carry out next step；
(1.6) energy storage state global optimum disaggregation G of distributed economic optimization is obtainedbestkAnd export.
Compared with prior art, the invention have the advantages that and technique effect: the present invention considers single three-phase series-parallel connection
Topology, it is proposed that a kind of many microgrids economic optimization method a few days ago considering that degree of unbalancedness retrains.Based on hierarchical layered
Communication construction and information transmission mode, be optimized for structure with layer rolling, bottom is that each sub-microgrid is with economy
Optimum is target, upper strata optimized by balancing layer after each single-phase sub-microgrid dominant eigenvalues value, draw each son
Microgrid is exerted oneself accordingly.Through case verification, institute's extracting method is feasible and effectively reduces this system tri-phase unbalance factor, carries
The economic benefit of high many microgrids.
Accompanying drawing explanation
Fig. 1 is single three-phase series-parallel connection many microgrids economic optimization flow chart a few days ago.
Fig. 2 is the single many microgrids of three-phase distributed economic optimization flow chart.
Fig. 3 is certain family's three-phase load power and common load power diagram.
Fig. 4 is certain family's three-phase photovoltaic power and public photovoltaic power diagram.
Fig. 5 is that the energy storage device after algorithm optimization is exerted oneself power diagram.
Detailed description of the invention
Below in conjunction with the accompanying drawings, the present invention is done and describes in detail further, but embodiments of the present invention are not limited to
This.
Fig. 1 is single three-phase series-parallel connection many microgrids economic optimization flow chart a few days ago, and it specifically comprises the following steps that
(1) each single-phase and three-phase microgrid are carried out distributed single microgrid economic optimization, show that each single microgrid stores up
Optimal solution set G that can exert oneselfbestk, k=1～3,1 represents A phase, and 2 represent B phase, and 3 represent C phase；
(2) optimal solution set G of each single microgrid that step (1) is obtainedbestk, be converted into dominant eigenvalues value by
Phase sequence is uploaded to many microgrid central controllers, completes uneven constraint correction algorithm in central controller.Contact
The linear heat generation rate value process that specifically converts is as follows: Plinek=Ploadk–Pvk-PGbestk, wherein, PlinekRepresent certain phase Dan Wei
Net dominant eigenvalues value, k=1 ... 3,1 represent A phase, and 2 represent B phase, and 3 represent C phase；PloadkRepresent certain
The single microgrid internal loading power of item；PvkRepresent photovoltaic power in certain phase list microgrid；PGbestkRepresent in (1st) step
The single microgrid energy storage drawn is exerted oneself performance number；
(3) energy storage of 24 hours on the one in single microgrid is exerted oneself it is divided at the beginning of 96 moment i, i=1～96, i
Initial value is 1；
(4) many microgrid central controllers judge the dominant eigenvalues value of A, B, C three-phase corresponding to the i moment
Whether degree of unbalancedness has been above setting percentage ratio 15%, if it is not, then correspondence dominant eigenvalues value preserved, makes
I adds 1, and restarts from this step, the most then carry out next step；
(5) with dominant eigenvalues value corresponding to i moment as input value, interconnection based on particle cluster algorithm is carried out
Performance number optimization correction, it is ensured that while tri-phase unbalance factor is less than 15%, make revised each phase interconnection merit
Change summation before rate is relatively revised is minimum, i.e. Δ Dimin=| Plinei'-Plinei|+|Plinei'-Plinei|+|Plinei'-Plinei|, wherein Δ Dimin
For each phase interconnection changed power summation, Plinei、Plinei、PlineiFor each phase energy storage corresponding before i time adjustment
Exert oneself, Plinei'、PBS2i'、PBS3i' for revised each phase dominant eigenvalues；
(6) it is known disaggregation with each phase dominant eigenvalues that moment 1 to i is corresponding, generated for the i-th moment to the 96th
The Probabilistic Fuzzy polarization population population s based on SOC value in moment, SOC is energy storage state；
(7) with population population after polarization for primary group, obtained for the i-th moment to based on particle cluster algorithm
The globally optimal solution in 96 moment；
(8) i is made to add 1, if i > 96 is by globally optimal solution G after correction optimizationbestfExport at most microgrid central authorities control
Device processed, is used for controlling exerting oneself of energy storage in single-phase micro-capacitance sensor next day；If i≤96, otherwise return to step (4).
Fig. 2 is the single many microgrids of three-phase distributed economic optimization flow chart, and it specifically comprises the following steps that
(1.1) microgrid is carried out photovoltaic prediction, load prediction, obtain photovoltaic next day, load exerts oneself PviAnd Ploadi；
(1.2) according to PviAnd PloadiAnd SOC constraints initialization particle populations, population scale 96,
SOC is energy storage state, and restriction range is 20%-80%, sets maximum iteration time a, primary iteration number of times
L=0；
(1.3) optimum as target with odd-numbered day microgrid economy, particle populations is carried out the l time iteration, finds storage
Can state locally optimal solution Pbestl；
(1.4) P is comparedbestlWith previous locally optimal solution Pbestl-1Fitness, update group optimal solution,
And according to Δ Pbest=Pbestl-Pbestl-1Self-adaptative adjustment weight coefficient so that particle is drawn close to preferable region；
(1.5) l=l+1 is made, it may be judged whether iteration completes, if not completing the weight coefficient after adjusting to substitute into step
Suddenly (3), if completing to carry out next step；
(1.6) energy storage state global optimum disaggregation G of distributed economic optimization is obtainedbestkAnd export.
The present invention designs following example and verifies
Fig. 3 is certain family's three-phase load power and common load power diagram, and Fig. 4 is certain family's three-phase photovoltaic power
With public photovoltaic power diagram, first give the prediction load power of certain family and predict that photovoltaic is exerted oneself, 15 minutes
One point, every day 96 points.Be entered in algorithm routine, by control energy-storage system go out activity of force,
With economic optimum as target so that system, in the case of satisfied uneven constraint, reaches a few days ago economical and maximizes,
Fig. 5 is that the energy storage device after algorithm optimization is exerted oneself power diagram.
It is respectively without A phase profit, B phase profit, C phase profit and the public profit of algorithm imbalance correction
23.83 yuan, 17.06 yuan, 18.93 yuan, 111.6 yuan；After being corrected, A phase profit, B phase profit, C phase
Profit and public profit are respectively 18.95 yuan, 11.5 yuan, 10.76 yuan, 111.6 yuan.It will thus be seen that to the greatest extent
After pipe imbalance correction, profit diminishes, but still within the acceptable range, system is permissible after imbalance correction
More stable operation.
Claims (2)
1. consider single three-phase series-parallel connection many microgrids economic optimization method a few days ago of degree of unbalancedness constraint, it is characterised in that
Comprise the steps:
(1) each single-phase and three-phase microgrid are carried out distributed single microgrid economic optimization, show that each single microgrid stores up
Optimal solution set G that can exert oneselfbestk, k=1～3,1 represents A phase, and 2 represent B phase, and 3 represent C phase；
(2) optimal solution set G of each single microgrid that step (1) is obtainedbestk, be converted into dominant eigenvalues value by
Phase sequence is uploaded to many microgrid central controllers, completes uneven constraint correction algorithm in central controller；Contact
The linear heat generation rate value process that specifically converts is as follows: Plinek=Ploadk–Pvk-PGbestk, wherein, PlinekRepresent certain phase Dan Wei
Net dominant eigenvalues value, k=1～3,1 represents A phase, and 2 represent B phase, and 3 represent C phase；PloadkRepresent certain
The single microgrid internal loading power of item；PvkRepresent photovoltaic power in certain phase list microgrid；PGbestkRepresent in (1st) step
The single microgrid energy storage drawn is exerted oneself performance number；
(3) energy storage of 24 hours on the one in single microgrid is exerted oneself it is divided at the beginning of 96 moment i, i=1～96, i
Initial value is 1；
(4) many microgrid central controllers judge the dominant eigenvalues value of A, B, C three-phase corresponding to the i moment
Whether degree of unbalancedness has been above setting percentage ratio b%, if it is not, then correspondence dominant eigenvalues value preserved, makes
I adds 1, and restarts from this step, the most then carry out next step；
(5) with dominant eigenvalues value corresponding to i moment as input value, interconnection based on particle cluster algorithm is carried out
Performance number optimization correction, it is ensured that tri-phase unbalance factor, less than while b%, makes revised each phase interconnection merit
Change summation before rate is relatively revised is minimum, i.e. Δ Dimin=| Plinei'-Plinei|+|Plinei'-Plinei|+|Plinei'-Plinei|, wherein Δ Dimin
For each phase interconnection changed power summation, Plinei、Plinei、PlineiFor each phase energy storage corresponding before i time adjustment
Exert oneself, Plinei'、PBS2i'、PBS3i' for revised each phase dominant eigenvalues；
(6) it is known disaggregation with each phase dominant eigenvalues that moment 1 to i is corresponding, generated for the i-th moment to the 96th
The Probabilistic Fuzzy polarization population population s based on SOC value in moment, SOC is energy storage state；
(7) with population population after polarization for primary group, obtained for the i-th moment to based on particle cluster algorithm
The globally optimal solution in 96 moment；
(8) i is made to add 1, if i > 96 is by globally optimal solution G after correction optimizationbestfExport at most microgrid central authorities control
Device processed, is used for controlling exerting oneself, to reach the effect of many microgrids economic optimum of energy storage in single-phase micro-capacitance sensor next day；
If i≤96, otherwise return to step (4).
Single many microgrids of three-phase series-parallel connection of consideration degree of unbalancedness the most according to claim 1 constraint are the most economical
Optimization method, its feature is specifically including in step (1):
(1.1) microgrid is carried out photovoltaic prediction, load prediction, obtain photovoltaic next day, load exerts oneself PviAnd Ploadi；
(1.2) according to PviAnd PloadiAnd SOC constraints initialization particle populations, population scale 96,
SOC is energy storage state, and restriction range is 20%-80%, sets maximum iteration time a, primary iteration number of times
L=0；
(1.3) optimum as target with odd-numbered day microgrid economy, particle populations is carried out the l time iteration, finds storage
Can state locally optimal solution Pbestl；
(1.4) P is comparedbestlWith previous locally optimal solution Pbestl-1Fitness, update group optimal solution,
And according to Δ Pbest=Pbestl-Pbestl-1Self-adaptative adjustment weight coefficient so that particle is drawn close to preferable region；
(1.5) l=l+1 is made, it may be judged whether iteration completes, if not completing the weight coefficient after adjusting to substitute into step
Suddenly (3), if completing to carry out next step；
(1.6) energy storage state global optimum disaggregation G of distributed economic optimization is obtainedbestkAnd export.
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| CN106374513A (en) * | 2016-10-26 | 2017-02-01 | 华南理工大学 | Multi-microgrid connection line power optimization method based on leader-follower game |
| CN106712120A (en) * | 2017-03-29 | 2017-05-24 | 华北电力大学（保定） | AC/DC (Alternating Current/Direct Current) mixed micro-grid optimized operating method based on main-slave game model |
| CN106911137A (en) * | 2017-04-13 | 2017-06-30 | 贵州电网有限责任公司电力科学研究院 | A kind of optimization method of layouting of three unbalanced power switching device |
| CN107294084A (en) * | 2017-06-08 | 2017-10-24 | 华南理工大学 | A kind of curve method for solving a few days ago based on wind power prediction |
| CN109842137A (en) * | 2019-03-15 | 2019-06-04 | 三峡大学 | A kind of control method for coordinating of list three-phase mixed connection microgrid group |
| CN113852109A (en) * | 2021-09-23 | 2021-12-28 | 西南交通大学 | Distributed control method for fair load margin of heterogeneous microgrid group |
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| CN106712120A (en) * | 2017-03-29 | 2017-05-24 | 华北电力大学（保定） | AC/DC (Alternating Current/Direct Current) mixed micro-grid optimized operating method based on main-slave game model |
| CN106911137A (en) * | 2017-04-13 | 2017-06-30 | 贵州电网有限责任公司电力科学研究院 | A kind of optimization method of layouting of three unbalanced power switching device |
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| CN107294084A (en) * | 2017-06-08 | 2017-10-24 | 华南理工大学 | A kind of curve method for solving a few days ago based on wind power prediction |
| CN109842137A (en) * | 2019-03-15 | 2019-06-04 | 三峡大学 | A kind of control method for coordinating of list three-phase mixed connection microgrid group |
| CN109842137B (en) * | 2019-03-15 | 2022-05-06 | 三峡大学 | Coordination control method for single-phase and three-phase series-parallel micro-grid group |
| CN113852109A (en) * | 2021-09-23 | 2021-12-28 | 西南交通大学 | Distributed control method for fair load margin of heterogeneous microgrid group |
| CN113852109B (en) * | 2021-09-23 | 2023-04-28 | 西南交通大学 | Fair load margin distributed regulation and control method for heterogeneous micro-grid group |
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Application publication date: 20161012 Assignee: Guangzhou Development Zone Yuedian new energy Co.,Ltd. Assignor: SOUTH CHINA University OF TECHNOLOGY Contract record no.: X2023980036273 Denomination of invention: A Daily Optimization Method for Single Three Phase Hybrid Multimicrogrid Considering Unbalance Constraints Granted publication date: 20200428 License type: Common License Record date: 20230615 |
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