CN114548477A - Distributed power supply acceptance capacity assessment and optimization method - Google Patents
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Abstract
The invention discloses a distributed power supply acceptance capacity evaluation and optimization method, which is characterized by comprising the following steps: s1, predicting and accessing intermittent energy; s2, defining limiting factors of the distributed power supply acceptance capacity; s3, evaluating the receptivity through an analytic method; s4, analyzing the safety of the power grid; s5, judging whether the safety constraint is met; s6, optimizing the distributed power supply admitting ability; factors influencing the acceptance capability of the distributed power supply are analyzed in a multi-dimensional mode, the acceptance capability of the distributed power supply is more accurately evaluated by adopting an analytical method, and finally, the voltage level is quickly reduced by accessing a static var compensator so as to improve the acceptance capability of the distributed power supply; the receiving capacity of the distributed power supply is integrally and locally evaluated, so that the evaluation result is more accurate and real; when the high-permeability distributed power supply is connected into the power distribution network to cause an overvoltage problem, the static reactive compensator can quickly reduce the voltage level by compensating inductive reactive power, and is favorable for improving the acceptance capacity of the distributed power supply.
Description
Technical Field
The invention relates to the field of power system planning, in particular to a distributed power supply acceptance capacity evaluation and optimization method.
Background
In recent years, distributed power supplies and electric vehicles are rapidly developed in a large scale, and grid-connected capacity is continuously increased. The research on the capability evaluation technology of the power distribution network for bearing the distributed power supply and the novel load of the electric automobile is urgently needed.
In order to fully exploit the potential of power distribution network flexible resource regulation and control, visually present power grid weak links and distributed power supply bearing capacity, a multivariate fusion power grid elastic bearing capacity evaluation index system in an energy internet form needs to be formulated urgently, resources on the power supply side, the power grid side, the load side and the like are comprehensively carded, and a systematic and targeted power grid development promotion strategy is proposed.
With the development of the electric power market, how to determine a planning scheme of a distributed power supply is still under exploration at present according to the construction cost of the distributed power supply and the utilization capacity of an actual power grid to distributed energy.
For example, chinese patent application No.: CN201810061547.0, the invention discloses a distributed power source acceptance evaluation method based on particle swarm random optimization. The method selects the expected load cost of the distributed power supply of the power grid as a fitness function, namely the quotient of the annual generation income of the distributed power supply and the annual running cost of the distributed power supply and the annual expected load loss of the power grid as the fitness function. The method comprises the steps of generating a distributed power supply planning construction scheme population by adopting a particle swarm algorithm, considering uncertainty factors such as distributed electric energy prediction deviation, demand side response and traditional unit maintenance faults, performing safety check on particles by adopting a risk assessment method, and calculating a fitness function of the particles conforming to the safety check, so that the acceptance capacity of a power grid to the distributed power supply is determined, and finally the optimal distributed power supply planning scheme is determined.
Disclosure of Invention
The invention mainly solves the problems that the overall and local receptivity is not considered for comprehensive evaluation and the distributed power supply receptivity optimization is insufficient in the prior art, and provides the distributed power supply receptivity evaluation and optimization method considering the overall and local receptivity for comprehensive evaluation.
The technical scheme adopted by the invention for solving the technical problems is as follows:
the invention provides a distributed power supply acceptance capacity evaluation and optimization method, which comprises the following steps:
s1, predicting and accessing intermittent energy;
s2, defining a limiting factor of the distributed power supply acceptance capacity;
s3, evaluating the receptivity through an analytic method;
s4, analyzing the safety of the power grid;
s5, judging whether the safety constraint is met;
and S6, optimizing the distributed power supply admitting ability.
Preferably, the step S1 comprises a unit maximum power generation amount constraint, a minimum power generation amount constraint, a shutdown constraint, an essential operation constraint, a fixed output plan constraint and a coal consumption total amount constraint, a unit group maximum power generation amount constraint, a minimum power generation amount constraint, a fixed output plan constraint and a coal consumption total amount constraint, a connecting line plan constraint; when the maximum intermittent energy power generation accepting capacity is an evaluation target, the conventional energy power generation cost is not considered under the condition of meeting various constraint conditions, and when the minimum overall power generation cost of the system is a target, the cost balance when the intermittent energy power generation is accepted can be fully considered in the evaluation, and the reasonable auxiliary service compensation mechanism is favorably designed to mobilize each enthusiasm, so that the intermittent energy accepting capacity is improved.
Preferably, the limiting factors of step S2 generally include node voltage, line current, power quality, power reliability, short-circuit current, and protection configuration; for line current carrying, the connection of a distributed power supply to a power distribution network can obviously improve the current carrying capacity and transmission power of partial lines, and if the specification of the line is smaller, the line can be overloaded, so that the safe and stable operation of the power distribution network is influenced; in addition, the influence of the high-proportion distributed power supply access distribution network on power supply reliability, short-circuit current, protection configuration and the like is not easy to ignore.
Preferably, in step S3, an interior point method is adopted, a nonlinear primitive-dual path tracking interior point algorithm is adopted to improve the traditional interior point method, a lagrange function, a newton method and a logarithmic barrier function are combined, a distributed power supply receptivity evaluation method based on node voltage weakness identification is adopted, the bus-level receptivity evaluation problem is solved by identifying a voltage robust node, the coupling relation of receptivity among different nodes is researched, constraints such as node voltage and line power flow are converted into node output constraints, and overall and local receptivity is considered for comprehensive evaluation; the method for solving the acceptance capacity of the distributed power supply by using the analytic method has the advantages of high calculation speed, no need of repeated checking calculation and relatively accurate result, and has the defects of complex modeling, difficulty in constructing a unified model representing different distributed power supply configuration modes, optimism of evaluation results and certain deviation from the real acceptance capacity.
Preferably, the step S4 adopts a mixed integer programming algorithm, and takes a simplified provincial power grid as an example, and analyzes the intermittent energy acceptance capacity under various models; the evaluation analysis uses a daily evaluation period, each hour is a period, and the total time of the evaluation period is 24 periods; when the intermittent energy source power generation receiving capacity of the power grid is evaluated, the step S5 is to ensure that the transmission power of each transmission equipment does not exceed the safety limit in the corresponding operation mode, so as to meet the requirement of long-time safe and stable operation of the power grid; to ensure reliable supply of electrical loads, and of derivative loads.
Preferably, the step S6 is implemented by accessing a static var compensator for rapidly reducing the voltage level; the static reactive compensator is a reactive compensation device with the advantages of high response speed, good regulation performance and the like, can quickly reduce the voltage level by compensating inductive reactive power when a high-permeability distributed power supply is connected into a power distribution network to cause an overvoltage problem, and is favorable for improving the acceptance capacity of the distributed power supply.
Preferably, the step S6 further includes an energy storage technology for adjusting the power supply and demand balance of the power distribution network; the stored energy is used as a flexible resource to participate in the power supply and demand balance adjustment of the power distribution network, the power permeability of the distributed power supply in the peak period of power output can be effectively reduced, and the operation constraint is not out of limit.
The invention has the advantages that:
(1) when the maximum intermittent energy power generation accepting capacity is an evaluation target, the conventional energy power generation cost is not considered under the condition of meeting various constraint conditions, and when the minimum overall power generation cost of the system is a target, the cost balance when the intermittent energy power generation is accepted can be fully considered in the evaluation, and the reasonable auxiliary service compensation mechanism is favorably designed to mobilize each enthusiasm, so that the intermittent energy accepting capacity is improved.
(2) And the receiving capacity of the distributed power supply is integrally and locally evaluated, so that the evaluation result is more accurate and real.
(3) The static reactive compensator is a reactive compensation device with the advantages of high response speed, good regulation performance and the like, can quickly reduce the voltage level by compensating inductive reactive power when a high-permeability distributed power supply is connected into a power distribution network to cause an overvoltage problem, and is favorable for improving the acceptance capacity of the distributed power supply.
Drawings
Fig. 1 is a flow chart of a distributed power admission capacity evaluation and optimization method of the present invention.
Detailed Description
The technical solutions of the present invention are further described below by way of examples in conjunction with the accompanying drawings, and it should be understood that the preferred examples described herein are only for illustrating and explaining the present invention, and do not limit the present invention.
Example (b): the invention provides a distributed power supply acceptance capacity evaluation and optimization method, which is characterized by comprising the following steps:
s1, predicting and accessing intermittent energy; the system comprises a unit group, a unit.
S2, defining a limiting factor of the distributed power supply acceptance capacity; limiting factors generally include node voltage, line current, power quality, power supply reliability, short-circuit current, protection configuration and the like; for node voltage, 3 constraints of voltage out-of-limit, voltage deviation and voltage three-phase imbalance are generally considered, wherein the voltage out-of-limit is the most commonly considered factor, for line current carrying, the current carrying capacity and transmission power of partial lines are obviously improved when a distributed power supply is connected into a power distribution network, line overload can be caused if the line specification is small, and then the safe and stable operation of the power distribution network is influenced, and in the aspect of electric energy quality, multiple electric energy quality problems such as voltage drop, flicker, short-time power supply interruption and harmonic waves can be caused when the distributed power supply is connected.
S3, evaluating the receptivity through an analytic method; the method is characterized in that an interior point method is adopted, a nonlinear original-dual path tracking interior point algorithm is adopted to improve the traditional interior point method, a Lagrange function, a Newton method and a logarithm barrier function are combined, a distributed power supply acceptance capacity evaluation method based on node voltage weakness identification is adopted, the acceptance capacity evaluation problem of a bus level is solved by identifying a voltage strong node, the coupling relation of acceptance capacities among different nodes is researched, constraints such as node voltage, line power flow and the like are converted into node output constraints, and overall and local acceptance capacities are considered for comprehensive evaluation.
S4, analyzing the safety of the power grid; analyzing the intermittent energy acceptance capacity under various models by adopting a mixed integer programming algorithm and taking a simplified certain provincial power grid as an example; the evaluation analysis was performed in a daily evaluation period of one hour for a total of 24 periods within the evaluation period.
S5, judging whether the safety constraint is met; when the intermittent energy source power generation receiving capacity of the power grid is evaluated, the transmission power of each transmission device does not exceed the safety limit in the corresponding operation mode, so that the long-time safe and stable operation requirement of the power grid is met.
S6, optimizing the distributed power supply admitting ability; a static reactive power compensation device is connected to reduce the voltage level rapidly; the energy storage technology is applied to adjust the power supply and demand balance of the power distribution network.
When the maximum intermittent energy power generation accepting capacity is adopted as an evaluation target, the conventional energy power generation cost is not considered under the condition of meeting various constraint conditions; the receiving capacity of the distributed power supply is integrally and locally evaluated, so that the evaluation result is more accurate and real; the static reactive compensator is a reactive compensation device with the advantages of high response speed, good regulation performance and the like, can quickly reduce the voltage level by compensating inductive reactive power when a high-permeability distributed power supply is connected into a power distribution network to cause an overvoltage problem, and is favorable for improving the acceptance capacity of the distributed power supply; the stored energy is used as a flexible resource to participate in the power supply and demand balance adjustment of the power distribution network, so that the power permeability of the DG at the output peak time can be effectively reduced, and the operation constraint is not out of limit.
Finally, it should be noted that: although the present invention has been described in detail with reference to the foregoing embodiments, it will be apparent to those skilled in the art that modifications may be made to the embodiments described above, or equivalents may be substituted for elements thereof. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (8)
1. A distributed power supply acceptance capacity assessment and optimization method is characterized by comprising the following steps:
s1, predicting and accessing intermittent energy;
s2, defining a limiting factor of the distributed power supply acceptance capacity;
s3, evaluating the receptivity through an analytic method;
s4, analyzing the safety of the power grid;
s5, judging whether the safety constraint is met;
and S6, optimizing the distributed power supply admitting ability.
2. The distributed power supply receptivity evaluation and optimization method according to claim 1, wherein the step S1 comprises a unit maximum power generation constraint, a minimum power generation constraint, a shutdown constraint, a necessary operation constraint, a fixed output plan constraint, a coal consumption total constraint, a unit group maximum power generation constraint, a minimum power generation constraint, a fixed output plan constraint, a coal consumption total constraint, and a tie line plan constraint.
3. The method according to claim 1, wherein the limiting factors of step S2 generally include node voltage, line current, power quality, power reliability, short-circuit current, and protection configuration; for node voltage, 3 constraints of voltage out-of-limit, voltage deviation and voltage three-phase imbalance are generally considered, wherein the voltage out-of-limit is the most commonly considered factor, for line current carrying, the current carrying capacity and transmission power of partial lines are obviously improved when a distributed power supply is connected into a power distribution network, line overload can be caused if the line specification is small, and then the safe and stable operation of the power distribution network is influenced, and in the aspect of electric energy quality, multiple electric energy quality problems such as voltage drop, flicker, short-time power supply interruption and harmonic waves can be caused when the distributed power supply is connected.
4. The distributed power supply receptivity evaluation and optimization method according to claim 1, wherein in step S3, an interior point method is adopted, a traditional interior point method is improved by adopting a nonlinear primitive-dual path tracking interior point algorithm, a distributed power supply receptivity evaluation method based on node voltage weakness identification is combined with a lagrange function, a newton method and a logarithmic barrier function, the bus-level receptivity evaluation problem is solved by identifying voltage robust nodes, the coupling relation of receptivity among different nodes is researched, constraints such as node voltage and line power flow are converted into node output constraints, and overall and local receptivity is comprehensively evaluated.
5. The distributed power supply admission capacity evaluation and optimization method according to claim 1, wherein step S4 employs a mixed integer programming algorithm, and takes a simplified provincial power grid as an example, to analyze the intermittent energy admission capacity under various models; the evaluation analysis was performed in a daily evaluation period of one hour for a total of 24 periods within the evaluation period.
6. The distributed power supply acceptance assessment and optimization method according to claim 1, wherein in the step S5, when the acceptance assessment is performed on the intermittent energy source power generation acceptance of the power grid, it should be ensured that the transmission power of each power transmission equipment does not exceed the safety limit in the corresponding operation mode, so as to meet the requirement of long-time safe and stable operation of the power grid.
7. The distributed power supply receptivity assessment and optimization method according to claim 1, wherein step S6 is implemented with a static var compensator for rapidly reducing voltage level.
8. The distributed power supply acceptance assessment and optimization method according to claim 1, wherein the step S6 further includes an energy storage technique for adjusting power supply and demand balance of the power distribution grid.
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Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103441535A (en) * | 2013-08-01 | 2013-12-11 | 国电南瑞科技股份有限公司 | Day-ahead power generation plan photovoltaic power generation receiving capability analysis method based on SCED |
| CN105514992A (en) * | 2015-12-11 | 2016-04-20 | 国家电网公司 | Grid-structure photovoltaic consumption capability optimization method based on trend constraints |
| CN106953359A (en) * | 2017-04-21 | 2017-07-14 | 中国农业大学 | A kind of active reactive coordinating and optimizing control method of power distribution network containing distributed photovoltaic |
| CN108320085A (en) * | 2018-01-23 | 2018-07-24 | 太原理工大学 | A kind of distributed generation resource receiving capability assessment method based on population random optimization |
| CN109474013A (en) * | 2018-12-12 | 2019-03-15 | 天津大学 | The increment power distribution network of the distributed photovoltaic containing Thief zone Optimization Scheduling a few days ago |
| CN110571863A (en) * | 2019-08-06 | 2019-12-13 | 国网山东省电力公司经济技术研究院 | Distributed power supply maximum acceptance capacity evaluation method considering flexibility of power distribution network |
| CN112910010A (en) * | 2021-01-14 | 2021-06-04 | 国网山东省电力公司电力科学研究院 | Two-stage power distribution network distributed power consumption capability assessment method and device |
-
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- 2021-12-09 CN CN202111498119.2A patent/CN114548477A/en active Pending
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103441535A (en) * | 2013-08-01 | 2013-12-11 | 国电南瑞科技股份有限公司 | Day-ahead power generation plan photovoltaic power generation receiving capability analysis method based on SCED |
| CN105514992A (en) * | 2015-12-11 | 2016-04-20 | 国家电网公司 | Grid-structure photovoltaic consumption capability optimization method based on trend constraints |
| CN106953359A (en) * | 2017-04-21 | 2017-07-14 | 中国农业大学 | A kind of active reactive coordinating and optimizing control method of power distribution network containing distributed photovoltaic |
| CN108320085A (en) * | 2018-01-23 | 2018-07-24 | 太原理工大学 | A kind of distributed generation resource receiving capability assessment method based on population random optimization |
| CN109474013A (en) * | 2018-12-12 | 2019-03-15 | 天津大学 | The increment power distribution network of the distributed photovoltaic containing Thief zone Optimization Scheduling a few days ago |
| CN110571863A (en) * | 2019-08-06 | 2019-12-13 | 国网山东省电力公司经济技术研究院 | Distributed power supply maximum acceptance capacity evaluation method considering flexibility of power distribution network |
| CN112910010A (en) * | 2021-01-14 | 2021-06-04 | 国网山东省电力公司电力科学研究院 | Two-stage power distribution network distributed power consumption capability assessment method and device |
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