CN108320085A - A kind of distributed generation resource receiving capability assessment method based on population random optimization - Google Patents
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Abstract
The present invention relates to a kind of Power System Planning field distributed generation resources, and capability assessment method, specially a kind of distributed generation resource based on population random optimization to be received to receive capability assessment method.It is fitness function that this method, which chooses power grid distributed generation resource load expected cost, i.e.,（The annual operating and maintenance cost of the year power generation income dis tribution formula power supply of distributed generation resource）Quotient with power grid year expectation load loss is fitness function.Distributed generation resource planning construction scheme population is generated using particle cluster algorithm, meter and distribution type electric energy prediction deviation and the uncertain factors such as Demand Side Response and conventional rack trouble shooting, Security Checking is carried out to particle using methods of risk assessment, calculate the fitness function for the particle for meeting Security Checking, so that it is determined that power grid receives ability to distributed generation resource, it is final to determine Optimal Distribution formula power source planning scheme.
Description
Technical field
The present invention relates to a kind of Power System Planning field distributed generation resources to receive capability assessment method, specially a kind of base
Capability assessment method is received in the distributed generation resource of population random optimization.
Background technology
With increasing for distributed generation resource grid connection capacity, power grid abandons wind and abandons that optical phenomenon is further serious, and wind is abandoned in the whole nation within 2016
49,700,000,000 kilowatt hour of electricity, some areas abandon wind rate and surpass 40%, and it is more than 50% that the unit of most serious, which abandons wind rate,.It is invested according to wind power plant
Cost and estimation return period, when unit abandons wind rate higher than 50%, which can not offset wind-powered electricity generation investment, abandon light
Phenomenon also allows of no optimist, so that the profit of distributed power generation quotient can not ensure, while but also generation of electricity by new energy cost occupies
It is high not under.Distributed generation resource power generation at present ensures its income by government subsidy etc., and with the development of electricity market, it is following
Distributed generation resource will necessarily jointly be participated in market competition with thermal power plant, and distributed generation resource is made up except through modes such as tradable green certificates
Cost of electricity-generating outside, ensure the utilization rate of distributed generation resource be improve distributed generation resource competitiveness basic solution, simultaneously
It is also the effective measures for improving utilization of new energy resources rate.
In order to improve digestion capability of the power grid to distributed generation resource, researcher by increase energy storage, regional power grid scheduling,
The strategies such as Optimized Operation, Unit Combination, as far as possible reduction abandon wind and abandon light quantity.And search to the bottom, the original that wind abandons light is abandoned on a large scale
Because being digestion capability that the when planned do not fully consider power grid under operation conditions to distribution type electric energy, therefore in the planning stage,
Based on various possible application scenarios, the influence that meter and various uncertain factors dissolves distributed energy, to power grid to dividing
The receiving ability of cloth power supply is rationally assessed, and is to solve to abandon to propose more rational distributed generation resource programme
Wind abandons light and reduces the basic solution of distributed power generation cost.
With the development of electricity market, how according to the construction cost and actual electric network of distributed generation resource to distributed energy
Utilization ability, among determining that the programme of distributed generation resource is still in explores at present.
Invention content
The present invention is in order to solve the problems, such as electric system distributed generation resource optimization planning, it is proposed that one kind is random based on population
The distributed generation resource of optimization receives capability assessment method.By the performance evaluation to distributed generation resource power grid after grid-connected, to determine
Power grid determines power grid distributed generation resource programme to the receiving ability of distributed generation resource.
It is fitness function that this method, which chooses power grid distributed generation resource load expected cost, i.e.,（The year of distributed generation resource is sent out
The annual operating and maintenance cost of electric income-distributed generation resource）Quotient with power grid year expectation load loss is fitness function,（Distributed electrical
The annual operating and maintenance cost of the year power generation income-distributed generation resource in source）Bigger, utilization rate is higher after showing distributed generation resource access, more
Advantageously reduce operation of power networks cost；It is expected that load loss is smaller year, shows the wind brought for power grid after distributed generation resource access
Danger is smaller；The fitness function value shows that more greatly the distributed generation resource programme is better.It is generated and is distributed using particle cluster algorithm
Formula power source planning construction scheme population, meter and distribution type electric energy prediction deviation and Demand Side Response and conventional rack trouble shooting
Etc. uncertain factors, Security Checking is carried out to particle using methods of risk assessment, calculates the suitable of the particle for meeting Security Checking
Response function, so that it is determined that power grid receives ability to distributed generation resource, it is final to determine Optimal Distribution formula power source planning scheme.
The present invention adopts the following technical scheme that realization：A kind of distributed generation resource based on population random optimization connects
It receives capability assessment method, includes the following steps：
Step 1：Annual typical day is chosen, determines the load, distributed generation resource power characteristic, tradition of each typical day
Unit operation situation, and determine the type typical day in annual probability；
Step 2：Distributed generation resource programme particle initial population is generated using particle swarm optimization algorithm, if initial kind of particle
Group's number is Q, and the capacity of each distributed generation resource need to meet constraint in each particle：The capacity yet to be built of each distributed generation resource is separate unit machine
The integral multiple of pool-size, the capacity of each distributed generation resource are more than the minimum allowable planned capacity in place yet to be built, and less than maximum
Allow planned capacity；All the sum of capacity of distributed generation resource yet to be built is less than the total load of power grid；
Step 3：Using risk assessment analytic method, Security Checking is carried out to the distributed generation resource programme that each particle determines
And calculate fitness function：For each typical day, using risk assessment analytic method, meter and wind power swing, solar energy wave
Dynamic, weather conditions, conventional rack failure and load prediction deviation uncertain factor influence calculates distributed generation resource planning
Under scheme, the expected load loss of power grid and distributed generation resource generated energy and corresponding power generation are taken in, if the distributed generation resource
The expected load loss of programme power grid meets security constraint, then further determines that the fitness function of the particle, otherwise will
The particle is deleted from population, and Security Checking is carried out for next particle；Calculate the distributed generation resource load phase of typical day
Hope cost：（Day operation cost of the distributed generation resource in power generation income-distributed generation resource of this day）/ typical case's day power grid it is expected negative
Lotus loses；Cumulative all typical days annual probability and the distributed generation resource load expected cost of typical case's day product, i.e.,
For the fitness function of the particle；
Step 4：Population updates particle position and speed according to fitness value：According to the fitness function value of each particle, update grain
The strategy of sub- position and speed generates new particle populations, and ensures that particle populations still meet the requirement of step 2；
Step 5：Program determination condition criterion：If program meets end condition, program determination, end condition refers to particle kind
Group algebra reaches preset value or fitness function variance is less than preset value, and what the maximum particle of fitness function determined is
Optimal Distribution formula power source planning scheme；Otherwise it is transferred to step 3, it is true to carry out Security Checking to the particle populations generated in step 4
Determine fitness function.
This method is commented using power grid distributed generation resource load expected cost as fitness function by being based on analytic method risk
The particle swarm optimization algorithm for estimating Security Checking solves the fitness function.By to the grid-connected rear power grid of distributed generation resource
Performance evaluation to assess receiving ability of the power grid to distributed generation resource, and then determines power grid distributed generation resource programme.This point
Cloth electricity optimization programme can be according to the performance in system operation stage to the Electric Power Network Planning stage distributed generation resource construction
Scheme proposes instruction, improves the economy and reliability of system operation, feasible suggestion is provided for Power System Planning.
Specific implementation mode
A kind of distributed generation resource receiving capability assessment method based on population random optimization, includes the following steps：
Step 1：Choose annual typical day（It is special according to typical load curve, season, wind power swing characteristic, solar energy fluctuation
Property, unit maintenance scheduling etc. choose typical day）, determine the load, distributed generation resource power characteristic, tradition of each typical day
Unit operation situation, and determine the probability in whole year of the type typical day.
Step 2：Distributed generation resource programme particle initial population is generated using particle swarm optimization algorithm, if at the beginning of particle
Beginning population number is Q.The capacity of each distributed generation resource need to meet constraint in each particle：The capacity yet to be built of each distributed generation resource is single
The capacity of the integral multiple of platform unit capacity, each distributed generation resource is more than the minimum allowable planned capacity in place yet to be built, and is less than
Maximum allowable planned capacity；All the sum of capacity of distributed generation resource yet to be built is less than the total load of power grid.
Step 3：Using risk assessment analytic method, safety is carried out to the distributed generation resource programme that each particle determines
It checks and calculates fitness function：
For each typical day, using risk assessment analytic method, meter and wind power swing, solar energy fluctuation, weather conditions, biography
The influence for the uncertain factors such as unit failure, load prediction deviation of uniting, calculates under the distributed generation resource programme, power grid
Expected load loss and distributed generation resource generated energy and corresponding power generation income.If the distributed generation resource construction scheme power grid
Expected load loss meet security constraint, then the fitness function of the particle is further determined that, otherwise by the particle from particle
It is deleted in group, Security Checking is carried out for next particle.
Calculate the distributed energy load expected cost of typical case day：（Power generation income-distribution of the distributed generation resource in this day
The day operation cost of formula power supply）/ typical case's day power grid expected load loses.
Cumulative all typical days annual probability and the distributed energy load expected cost of typical case's day product, i.e.,
For the fitness function of the particle.
Step 4：Population updates particle position and speed according to fitness value：
According to the fitness function value of each particle, the strategy of update particle position and speed, new particle populations are generated, and ensure
Particle populations still meet the requirement of step 2.
Step 5：Program determination condition criterion：
If program meets end condition, program determination（End condition refers to that particle populations algebraically reaches preset value, or adapts to
It spends function variance and is less than preset value）, what the maximum particle of fitness function determined is Optimal Distribution formula power source planning scheme；It is no
It is then transferred to step 3, carrying out safety verification to the particle populations generated in step 4 determines fitness function.
Claims (1)
1. a kind of distributed generation resource based on population random optimization receives capability assessment method, it is characterised in that including following step
Suddenly：
Step 1：Annual typical day is chosen, determines the load, distributed generation resource power characteristic, tradition of each typical day
Unit operation situation, and determine the type typical day in annual probability；
Step 2：Distributed generation resource programme particle initial population is generated using particle swarm optimization algorithm, if initial kind of particle
Group's number is Q, and the capacity of each distributed generation resource need to meet constraint in each particle：The capacity yet to be built of each distributed generation resource is separate unit machine
The integral multiple of pool-size, the capacity of each distributed generation resource are more than the minimum allowable planned capacity in place yet to be built, and less than maximum
Allow planned capacity；All the sum of capacity of distributed generation resource yet to be built is less than the total load of power grid；
Step 3：Using risk assessment analytic method, Security Checking is carried out to the distributed generation resource programme that each particle determines
And calculate fitness function：For each typical day, using risk assessment analytic method, meter and wind power swing, solar energy wave
Dynamic, weather conditions, conventional rack failure and load prediction deviation uncertain factor influence calculates distributed generation resource planning
Under scheme, the expected load loss of power grid and distributed generation resource generated energy and corresponding power generation are taken in, if the distributed generation resource
The expected load loss of programme power grid meets security constraint, then further determines that the fitness function of the particle, otherwise will
The particle is deleted from population, and Security Checking is carried out for next particle；Calculate the distributed generation resource load phase of typical day
Hope cost：Difference and the typical case day power grid expected load of the distributed generation resource in the power generation income and day operation cost of typical case's day
The quotient of loss is the distributed generation resource load expected cost of typical day；Cumulative all typical days are in annual probability and the typical case
The product of the distributed generation resource load expected cost of day, the as fitness function of the particle；
Step 4：Population updates particle position and speed according to fitness value：According to the fitness function value of each particle, update grain
The strategy of sub- position and speed generates new particle populations, and ensures that particle populations still meet the requirement of step 2；
Step 5：Program determination condition criterion：If program meets end condition, program determination, end condition refers to particle kind
Group algebra reaches preset value or fitness function variance is less than preset value, and what the maximum particle of fitness function determined is
Optimal Distribution formula power source planning scheme；Otherwise it is transferred to step 3, it is true to carry out Security Checking to the particle populations generated in step 4
Determine fitness function.
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| CN109687445A (en) * | 2018-12-29 | 2019-04-26 | 国网河北省电力有限公司经济技术研究院 | Power distribution network receives asynchronous blower appraisal procedure, system and the terminal device of ability |
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